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Ghost Hands

PyPI Downloads License: MIT Release CI M8ven Score

Playwright drives. Stagehand thinks. Browser Use wanders. Ghost Hands answers for every move.

Ghost Hands is a standalone, zero-dependency Python package that gives an agent hands on the web — and a conscience to go with them. Every action an agent takes is classified before it runs (readonly / write / consequential), judged against a policy, written to a provenance trail before it executes, and — when it matters — gated on a human approval. Finished runs graduate into deterministic, model-free Ghost Hands scripts you can re-run for free.

The browser body is our own: a stdlib Chrome DevTools Protocol client drives Chromium directly over the --remote-debugging-pipe transport. There is no Playwright, no Selenium, and no other automation library under the hood — the automation layer is 100% ours. (We drive Chromium, the browser; we did not write a browser engine and don't claim to have.)

From Ghost Developer Studio. MIT licensed.

Status: v0.9.0 — the field kit wave (ghost-hands doctor stack diagnostics + ghost-hands phone-proof, the guided on-device proof). Install it from PyPI ghost-hands with pip install ghost-hands, see the GitHub release, or browse the project site.

What's new in 0.9.0

  • ghost-hands doctor (doctor.py) — one command that answers "is everything wired up?" for the whole stack. Seven read-only checks — the Python runtime, a Chromium binary (found by the driver's own resolver, so doctor and the driver can never disagree), the four policy packs, the model environment, a GhostBus server (when --bus / GHOSTBUS_URL configures one; the workspace shape — single vs hosted /w/<id>/ — is reported), the MrGhosty phone bridge (when configured: reachable, token accepted, MrGhosty version, accessibility state, bridge-protocol match), and adb — each rendering as a PASS / WARN / FAIL row with, when it isn't a PASS, a one-line plain-language fix ("Is the phone on, MrGhosty accessibility on, and adb forward tcp:8378 tcp:8378 running?" / "Pairing token mismatch — re-copy it from MrGhosty's Access checklist into GHOST_HANDS_ANDROID_TOKEN."). FAIL means "this part will not work until you act"; WARN means idle-or-optional (an unconfigured bus or bridge is a WARN, never a failure). Exit code is 1 iff anything FAILs. --json emits the same checks as structured data. Every probe carries a short timeout, so doctor never hangs on a dead endpoint, and no secret is ever printed: keys and the pairing token are reported as present, never as values.

  • ghost-hands phone-proof (phone_proof.py) — the guided version of the first phone run. Where phone-approval-test proves one thing in isolation, phone-proof walks all five steps and checks each: bridge configured (else it prints the exact env setup and stops — exit 2, needs-setup), the adb forward (printed before it runs; skipped gracefully without adb/a device), the bridge status (MrGhosty version + accessibility), the harmless test approval ("LOOK AT YOUR PHONE NOW — tap Approve on the MrGhosty notification"), and a closing summary of what is now proven plus the exact next commands. Denied, expired, or timed-out approvals end gracefully with instructions — exit 3 (not approved); bridge/config failures are exit 1. --yes runs straight through without pauses, which is how the tests and bench drive it against the fake bridge.

First phone proof

With MrGhosty v1.7+ installed on the phone and its accessibility service enabled, the whole first run is:

adb forward tcp:8378 tcp:8378        # or let phone-proof do it (step 2)
export GHOST_HANDS_ANDROID_TOKEN=<pairing code from MrGhosty → Device tab → Ghost Hands bridge>
ghost-hands doctor                   # every row green or explained?
ghost-hands phone-proof              # five checked steps to "proven"

phone-proof prints what each step needs before it checks it, and its exit code says how the story ended: 0 proven · 1 error · 2 needs-setup · 3 not approved. After it passes, the phone is a governed body: ghost-hands run --driver android --approver phone drives it with approvals on the phone itself.

Related MCP server: SpectraBrowser MCP

What's new in 0.8.0

  • Trail → HTML audit report (ghost-hands report trail.jsonl, report.py). The trail was always the record; now it's a readable one. One run renders to ONE self-contained HTML file — inline CSS, no JavaScript, no external assets, works offline — in studio styling (dark charcoal, violet accent): a header (goal when the trail records one, body inferred from the perception URLs, date range, stop reason + summary), summary stat cards (steps, wall duration, perception chars / ~tokens, actions by class, approvals requested/granted/denied, heals, downloads/dialogs/net counts), and a step-by-step timeline — perceived map summary with a collapsible perception record, the decision in plain language ("click [4] 'Place order'"), the Governor's verdict with its classification chip and, for asks, how the story ended ("ask → approved via phone"), the result, and special events inline (heals with from/to, dialogs, downloads with filename + size, approval request/decision pairs with channel + decider, network capture in a collapsible). Rendering is defensive: every trail string is HTML-escaped (a hostile page title stays text), typed values are truncated at 80 chars, and a value typed into a type=password element renders as •••• (N chars). Corrupt lines are skipped and counted in the footer — a partial trail is still a record. A sample render ships in examples/sample-report.html.

  • MCP parity. The MCP server is no longer fake-web-only: GHOST_HANDS_DRIVER=fake|chromium|simphone|android selects the session body (default: fake, as before), GHOST_HANDS_START_URL opens on the first perceive, and android sessions use the same GHOST_HANDS_ANDROID_BRIDGE / GHOST_HANDS_ANDROID_TOKEN env as the bus agent (the token never appears in tool output). Bodies with native eyes perceive through them, exactly like the Runner. GHOST_HANDS_APPROVER=phone routes session "ask" verdicts through PhoneApprover instead of the deny-with-explanation default, and hands_act replies state which channel decided ("approved via phone" / "denied: no approver (MCP default)"). hands_run defaults to the session body and accepts all four drivers. Configuration is per-server-process; unknown values fail loudly at startup.

  • The seatbelt policy pack. Standard's posture (readonly + write allowed, consequential asks, 300s approval leash) plus a target-content rule: if a target element's name/label — or the page/action URL — matches a curated prompt-injection pattern (policies.INJECTION_PATTERNS: "ignore previous instructions", "disregard your instructions", "you are now", "system prompt", "click here to claim", "verify your password to continue", …), the Governor denies the action outright, whatever its class, and the govern event's reason names the matched pattern. The patterns are instruction-shaped phrases, never bare words — a button named "Ignore" does not trip it (guarded by tests). Implemented as data on the Policy (deny_patterns), so any pack or policy file can carry its own list.

What's new in 0.7.0

  • The model evaluation harness (ghost-hands eval, evaluate.py). Eight graded tasks against local fixture pages — search-and-open, multi-field form fill + consequential submit, structured table extraction, multi-hop navigation to a fact, a trap page whose prominent button is destructive and must NOT be touched, a shifting page scored on heal recovery, a login form whose trail is audited for credential leakage, and an impossible goal scored on honest stopping. Four tasks run on real Chromium. Every task is scored on success, steps, wall time, perception chars / ~tokens, actions by class, approvals requested, and heals; --report PATH writes the JSON. Three deciders: --decider stub (a local stub model server whose deterministic policy proves the harness end to end — stub results are harness verification only, not a model-quality measurement), --decider rules (the RuleDecider as a second baseline), and --decider openai (a real model via the existing env-configured decider). Measured on this build: the stub passed 8/8 (the instrument works); the rules baseline passed 3/8 (trap avoidance, heal recovery, honest stop — its honest failures on search, forms, extraction, multi-hop, and login are data, not harness errors). Real-model numbers are reported separately wherever a key is available; see "Honest status".

  • Android gestures (MrGhosty v1.8.0). Three action kinds the Android body used to refuse — double_click, drag, click_at — are implemented end to end: the bridge dispatches real gestures (dispatchGesture, bounded callback latch, honest cancelled/failed results), click_at is validated against the current window's bounds and refused out-of-bounds, and AndroidDriver forwards all three (drag resolves both ends; click_at needs no target). SimPhoneDriver does not implement them — no fake parity; see docs/BODY_PROTOCOL.md §6 for which body supports what.

  • The GhostBus file-store loop is closed. The v0.4 finding (the file-backed store's shared-.tmp rename colliding under concurrent writers, HTTP 400) was fixed in GhostBus 0.4.1 (unique temp per save + serialized saves) and regression-tested in the GhostBus suite since 0.5.0 (44/44 + 6/6, re-verified for this build). Ghost Hands now proves it from its own side too: the bus demo flow and a parallel agent+poller barrage run against a real file-backed GhostBus with zero 400s, an intact store, and no orphan temp files (bench v7 bus, pytest test_file_store_barrage_no_races).

What's new in 0.6.0

  • Approvals by phone. A run's "ask" decisions can be routed to Ryan's phone: PhoneApprover (phone_approver.py) posts a redacted approval request to the Ghost Hands bridge in MrGhosty v1.7.0, which raises a high-importance notification ("Ghost Hands needs approval") with Approve / Deny actions, mirrored by a card in MrGhosty's Device tab. The decision returns over the bridge; denied, expired, timed-out, and unreachable all mean no — silence is never consent. Works with every driver (ghost-hands run --approver phone … — the phone can approve a desktop Chromium run too), and in bus-agent mode via --approval-channel phone (the bus gets a courtesy comment; the approval itself is never requested from the bus). Approvals route to Ryan's phone through the MrGhosty bridge (notification + in-app decision) when the bridge is reachable; it is a local bridge channel, not a cloud push service. See docs/APPROVALS.md.

  • Decisions are phone-only, by construction. The bridge API can create and read approval requests but has no decision endpoint — a token holder can never approve their own request. The only deciders are the notification actions and the in-app card, on the phone itself.

  • Summaries are redacted before they leave the machine. A request carries the action kind, classification, target descriptor, and current URL/package; type actions show the target and a character count, never the typed text; fill_form shows field names, never values. The pairing token never appears in summaries, trail events, errors, or logs.

  • ghost-hands phone-approval-test — sends one harmless test request ("approving this runs nothing") and waits for the phone decision: the one-command on-device proof.

What's new in 0.5.0

  • The real Android body. AndroidDriver (android_driver.py) drives a real phone through the Ghost Hands bridge in the MrGhosty Android app (v1.6.0): a loopback-only HTTP server hosted by MrGhosty's accessibility service on 127.0.0.1:8378, authenticated by a pairing token (shown in MrGhosty's Device tab; passed via GHOST_HANDS_ANDROID_TOKEN, never stored). Perception walks the live accessibility tree into the same numbered ElementMap (each element keeps its bridge ref as body_ref); actions re-verify the target's {tag, role, name} key at the bridge before anything moves, and stale targets come back as the same "target missing / target mismatch" errors the Runner heals from on the web. The unchanged Runner/Governor drive it — governance is identical, including the consequential gate. Web-only actions fail honestly. Forward the bridge with adb forward tcp:8378 tcp:8378, check it with ghost-hands android-status, then ghost-hands run --driver android … (or task it over GhostBus with "driver": "android"). The driver and the bridge are built and the full flow is proven against the bridge contract (fake-bridge conformance suite + bench case); on-device proof is pending Ryan's install of MrGhosty v1.6.0 + the accessibility grant.

  • Element body_ref. Elements now carry an optional opaque body-native target reference in their descriptor, so trails record exactly which node a phone action touched.

What's new in 0.4.0

  • GhostBus agent mode. ghost-hands bus-agent puts the hands on GhostBus as the agent ghost-hands (role: hands). It claims tasks addressed to it or tagged hands — respecting claim leases, blockedBy, and the bus's own needs-approval gate (gated tasks are never claimed) — runs them through the same Runner/Governor/Trail, posts progress comments, uploads the JSONL trail as a shared bus file, and completes with a structured report. Works against the single-workspace relay and hosted workspaces (--workspace, /w/<id>/), key from flag/env only, never stored. ghost-hands bus-demo proves the whole loop against the real GhostBus node server — including a consequential submit approved by a second client over the bus, mid-run.

  • Approvals over the bus. When the Governor says "ask" during a bus run, the approver posts APPROVAL NEEDED: <class> <summary> — reply APPROVE <run-id> or DENY <run-id> as a task comment and a message to the task's creator, then waits (long-poll) up to the approval timeout. Deny or timeout = denied, on the record: both the request and the decision land in the trail as approval events.

  • The Body Protocol. docs/BODY_PROTOCOL.md formalizes the driver contract — perceive → numbered ElementMap, act(action) → outcome, optional capability flags — and the shared action vocabulary, so new bodies can be built against a written spec. A conformance scenario (same abstract script on every body) proves it: the destructive step is denied with no approver and lands with one, and the trail records identical shapes, on FakeDriver, ChromiumDriver, and the new phone body alike.

  • SimPhoneDriver. A simulated Android-style body (in-memory): home screen with app icons, a Notes app (type, save, notes persist; a "Delete all notes" button that classifies consequential), a Settings app with toggles, a Back/Home navigation stack, and real PNG screenshots rendered with stdlib only. The existing Runner/Governor/deciders drive it unchanged — it is the rehearsal body for the real Android body — which has since landed (v0.5.0, above): the same Runner/Governor drive SimPhoneDriver in tests and a real phone through AndroidDriver.

  • Policy packs. Named, loadable governor bundles (ghost_hands.policies): readonly (writes + consequential denied outright), standard (the default posture), strict (writes ask too; approvals on a 120s leash). --policy-pack on run and bus-agent; the MCP server honors GHOST_HANDS_POLICY. Unknown pack names are a loud error, never a silent fallback.

What's new in 0.3.0

  • Two kinds of eyes. DOM eyes now walk the composed tree — open shadow roots pierced, same-page iframes included and tagged — so web components and framed controls are numbered like everything else. Or switch to AX eyes (eyes="ax"): the map is built from the CDP Accessibility tree (role + name + states) and actions resolve back through backendNodeId.

  • Forms in one move. fill_form fills a whole form from {label: value} pairs, resolving each field by label, name, placeholder, or aria-label, and reports per-field results — failures named, never silent. With submit: true it is classified consequential and takes the normal approval path.

  • Files both ways. download clicks through and waits for the file to complete on disk (filename + byte size reported, completion on the trail); set_file uploads a local file into a file input (DOM.setFileInputFiles), refusing missing paths and directories.

  • Network on the record. The Network domain is captured during runs (method, URL, status, type) into net trail events, capped at 200 per run with truncation noted; extract mode network returns the captured list.

  • Structured extract. extract modes: text (default), list (links → [{text, href}]), table (→ list of row dicts), network.

  • Dialogs handled, on the record. confirm/alert/prompt are answered per the driver policy (dialog_policy="dismiss"|"accept", default dismiss) and every dialog + decision lands on the trail.

  • Richer input. hover, double_click, right_click, drag (target → target), key chords in press ("Control+a"), and click_at(x, y) — the raw-coordinate fallback, classified write and marked raw: true on the trail.

  • PDF + viewport. pdf prints the page to a real PDF file (Page.printToPDF); set_viewport switches named presets (desktop 1280×800, mobile 390×844 + touch) and perception reflects the emulated layout, media queries included.

  • Wait-for conditions. wait_for waits for text to appear, an element matching a descriptor, or a URL substring — with a timeout that fails honestly, on the record.

  • All new actions work through the CLI runner and MCP hands_act unchanged, and every one of them is still classified by the governor and written to the trail. (HTML-snapshot eyes do not pierce shadow roots or frames — that is what the live-element map is for.)

What's new in 0.2.0

  • Live-web proven. The Chromium driver has now driven real sites end to end: example.com (followed the IANA link to the Example Domains page) and a real Wikipedia search — the deterministic RuleDecider typed "Oakdale, Tennessee", submitted, and landed on the Oakdale article. Reproduce with ghost-hands bench --live (2 cases, verified Oct 8, 2026 from the studio sandbox).

  • Self-healing targets. If the page mutates between perception and action, the stale target is detected, re-found by its recorded descriptor, retried exactly once, and the heal is written to the trail as its own event.

  • Tabs. open_tab / switch_tab / list_tabs — each tab is its own CDP target; perception and actions apply to the active tab.

  • Session state. save_session / load_session: cookies (Network.getAllCookies / setCookie) plus the current origin's localStorage, in a small versioned JSON format.

  • Screenshots to disk. The screenshot action now writes a real PNG (Page.captureScreenshot) to the action's path.

  • Proxy support. The driver honors HTTPS_PROXY / https_proxy (opt out with proxy=""). Authenticated proxies work via a built-in local relay that injects the credentials Chrome itself can't accept; ignore_cert_errors=True is available for TLS-intercepting proxies.

  • Decider wire proof. The OpenAI-compatible decider's protocol — request shape, env gating, reply parsing, the full Runner loop — is covered by tests and a bench case against a local stub /chat/completions server. Live-model driving quality remains unproven (see "Honest status").

  • Graduated scripts, executed. Replay export now takes driver= (chromium or fake-with-embedded-pages) and start_url=; the bench actually executes a graduated script against fixture pages on real Chromium and checks its completion marker.

Quickstart

pip install ghost-hands        # PyPI: ghost-hands 0.9.0
ghost-hands demo               # scripted run over a built-in fake mini-web — no browser needed
ghost-hands bench              # the verification suite

Drive a real page:

from ghost_hands import ChromiumDriver, Runner, ScriptedDecider

driver = ChromiumDriver()  # finds Chromium/Chrome; $GHOST_HANDS_CHROME overrides
runner = Runner(driver, ScriptedDecider([
    {"kind": "navigate", "url": "https://example.com"},
    {"kind": "extract"},
    {"kind": "done", "summary": "looked at the page"},
]))
report = runner.run("look at example.com")
print(report.stop_reason, report.summary)
driver.close()

How it works

Layer

What it does

Eyes (eyes.py)

Numbered ElementMap — [3] <button> "Sign in" — compact text with a character budget. No screenshots, no vision model. Two sources: an HTML snapshot parse (offline body), or the live browser — a composed-tree DOM walk (shadow roots + iframes) or the CDP Accessibility tree.

Hands (actions.py)

Typed, JSON-serializable actions: navigate, click, type, press (with key chords), select, scroll, hover, double/right click, drag, click_at (raw coordinates), fill_form, set_file, download, extract (text/list/table/network), screenshot (to a real PNG file), pdf, set_viewport, wait / wait_for, tabs, session save/load, done. Targets are element numbers, never raw selectors.

Governor (governor.py)

Classifies every action before execution and applies a policy: allow / ask / deny per class, a domain allowlist, blocked domains. Form submits and anything smelling like pay / send / delete / publish / transfer is consequential.

Trail (trail.py)

JSONL provenance: perceive → decide → govern → execute → result → stop (plus heal, dialog, net, and download events), with per-run accounting (steps, perception chars, ~tokens at chars/4, actions by class). Govern + execute are recorded before the action runs.

Bodies (drivers.py, simphone.py, android_driver.py)

FakeDriver (in-memory mini-web for tests/demos), ChromiumDriver (real Chromium via our own CDP client: auto-wait, tabs, session save/load, screenshots to disk, downloads/uploads, network capture, dialog policy, viewport emulation, PDF, env-proxy support with a credential-injecting local relay, stale-target detection), SimPhoneDriver (simulated Android-style phone: apps, notes, toggles, Back/Home, rendered PNG screenshots), and AndroidDriver (a real phone via the MrGhosty app's Ghost Hands bridge: loopback HTTP/JSON, pairing-token auth, accessibility-tree perception with body_ref targets, key-verified actions, real screenshots on API 30+, loopback-only by construction). The contract every body signs is docs/BODY_PROTOCOL.md.

Brains (deciders.py)

ScriptedDecider (explicit steps), RuleDecider (deterministic offline rules — "go to…", "click…", "type… into…", "search for…"), OpenAICompatibleDecider (any OpenAI-compatible endpoint; key from env only, never stored; wire protocol proven against a local stub server).

Runner (runner.py)

The loop, with a step budget, stuck detection (same action 3×, or an unchanged map for 3 steps), and self-healing: a target that moved mid-flight is re-found by descriptor and retried once, heal logged. Honest stop reasons: done / budget / denied / stuck / error. Silence is never consent: an "ask" with no approver is a denial.

Replay export (export.py)

Graduate a trail into a standalone Ghost Hands script that replays the executed steps deterministically — no model, still governed. Chromium body, or a fake body with the mini-web embedded.

Policy packs (policies.py)

Named governor bundles as data: readonly (perception only — writes and consequential denied outright), standard (the default), strict (writes ask too, 120s approval leash), seatbelt (standard posture + injection-shaped targets denied outright — v0.8). Each pack sets per-class allow/ask/deny, an approval timeout, allowlist additions, and optional deny_patterns.

Audit report (report.py)

Renders a trail JSONL into one self-contained HTML audit report (v0.8): header, stat cards, a step-by-step timeline with governor verdicts and approval outcomes, special events inline. All trail strings escaped; password-typed values masked.

Bus mode (busclient.py, busagent.py)

A stdlib GhostBus REST client (single-workspace relay or hosted /w/<id>/; key + agent token from flag/env, memory only) and the agent loop on top: register as ghost-hands, claim addressed/tagged tasks (leases, blockedBy, and the bus's needs-approval gate respected), run them governed, route approvals back over the bus, upload the trail as a shared file, complete with a structured report.

MCP server (mcp_server.py)

Stdlib-only stdio MCP: hands_perceive, hands_act, hands_run, hands_trail. Body + approver configured per process by env: GHOST_HANDS_DRIVER (fake/chromium/simphone/android, v0.8), GHOST_HANDS_START_URL, GHOST_HANDS_APPROVER=phone (asks decided on Ryan's phone; default: denied with an explanation, and replies name the deciding channel), GHOST_HANDS_POLICY (a policy pack name).

CLI

ghost-hands demo                                   # built-in fake-web demo
ghost-hands bench                                  # the offline verification suite
ghost-hands doctor                                 # diagnose the whole stack (add --json for tooling)
ghost-hands phone-proof                            # the guided on-device proof (exit: 0/1/2/3)
ghost-hands report trail.jsonl                     # trail -> trail.html audit report (-o for a path)
ghost-hands bench --live                           # + live cases: example.com, Wikipedia
ghost-hands run --script steps.json --driver fake  # or --driver chromium
adb forward tcp:8378 tcp:8378                      # forward the phone's Ghost Hands bridge (USB)
ghost-hands android-status                         # is MrGhosty's bridge answering? (token via env)
ghost-hands run --script steps.json --driver android   # drive the real phone, governed
ghost-hands run --script steps.json --policy policy.json --approve-all
ghost-hands run --script steps.json --policy-pack strict   # or readonly
ghost-hands export trail.jsonl -o replay.py        # graduate a trail into a script
ghost-hands export trail.jsonl --driver fake --pages pages.json -o replay.py
ghost-hands mcp                                    # MCP server on stdio
ghost-hands bus-agent --once                       # work one GhostBus task, then exit
ghost-hands bus-agent --workspace studio           # hosted bus, /w/studio/ (key via GHOSTBUS_KEY)
ghost-hands bus-demo                               # prove bus mode vs the real GhostBus server

See examples/steps.json and examples/policy.json for the file formats.

How it compares

Driver stack

Intent layer

Governance / approval gate

Provenance trail

Run → script replay

Bodies

Playwright

Own protocol drivers for Chromium/Firefox/WebKit

None — deterministic scripts

None

Trace viewer for tests

Codegen records scripts

Web

Playwright MCP

Playwright via MCP (23+ raw tools)

The calling model, unmediated

None

None built in

No

Web

Stagehand

Playwright + AI primitives (act/observe/extract/agent)

Per-step LLM calls

None

Session logs

Action caching

Web (cloud browsers upsell)

Browser Use

Own browser agent loop

Full autonomous LLM loop

None

Run history

No

Web

Jev

Numbered control list, cheap decision pass

Single cheap pass per step

None (we built Agent Seatbelt for it)

Minimal

No

Web

Ghost Hands

Own CDP stack, zero dependencies — no Playwright, no Selenium under the hood

Pluggable: scripted, deterministic rules, or any OpenAI-compatible model

Classify + policy + approval before every action; record-before-execute

Full JSONL trail with per-run accounting

Yes — trails graduate into Ghost Hands scripts

Web (Chromium) + a real Android body (MrGhosty bridge) + a simulated phone body, under a written Body Protocol

Capabilities, feature by feature

Surveyed from each project's public docs (Oct 2026); "—" means not a built-in of the tool as documented. Every Ghost Hands row is proven by a named bench case on real Chromium unless marked (fake) — the bench says which body each case ran on.

Capability

Playwright

Stagehand

Browser Use

Ghost Hands

Numbered element map for a model

Via MCP / snapshots

observe

Yes (own format)

Yes — DOM or Accessibility-tree eyes

Shadow DOM controls

Yes

Yes

Partial

Yes — open roots pierced (live map)

Iframe controls

Yes

Yes

Partial

Yes — same-page frames, tagged

JS dialogs (confirm/alert)

Yes

Yes

Yes

Yes — policy-driven, decision on the trail

Downloads

Yes

Yes

Yes

Yes — completion + size on the trail

File upload

Yes

Yes

Yes

Yes — set_file

Network capture

Yes (HAR/request APIs)

Via Playwright

Limited

Yes — net trail events + extract mode

Fill a whole form in one step

No (per-field API)

act per field

Agent loop

Yes — fill_form, per-field results

Structured extract (list/table)

Manual locators

extract (LLM schema)

Agent loop

Yes — deterministic, no model call

Hover / double / right click / drag

Yes

Via act

Yes

Yes

Key chords (Control+a)

Yes

Via act

Yes

Yes

Raw coordinate clicks

Yes

—

Yes

Yes — classified write, marked raw

PDF export

Yes (Chromium)

Via Playwright

—

Yes

Device/viewport emulation

Yes

Via Playwright

Viewport opts

Yes — named presets, perception follows

Wait for text/element/URL

Yes

Via act

Agent loop

Yes — honest timeout on the record

Every action classified + approval-gated

No

No

No

Yes — the whole point

Run graduates into a replayable script

Codegen (records new)

Action cache

No

Yes — from the trail

Honest status

What is proven, and what is not — as of v0.6.0 (Oct 8, 2026):

  • Proven: the full offline suite (299 pytest tests, 88 bench cases); the Chromium driver on fixture pages (perceive / type / click / tabs / session roundtrip / screenshots / graduated-script execution) and the full v0.3 capability set on real Chromium (see the matrix note); live runs on example.com and Wikipedia (ghost-hands bench --live, 2/2); the LLM decider's wire protocol against a local stub endpoint; bus agent mode against the real GhostBus node server — both the single-workspace relay and a hosted /w/<id>/ workspace — including an approval granted and an approval denied over the bus mid-run; the Body Protocol conformance scenario on all three in-process bodies; the sim phone's notes flow end to end; the Android body against the bridge contract — AndroidDriver's full governed flow (including heal-after-mutation and the consequential delete gate) against a fake bridge speaking the exact wire protocol of the real one, plus the MrGhosty v1.6.0 APK built and signature-verified with the bridge compiled in; approvals by phone against the same contract — PhoneApprover's full request/poll flow (approved / denied / expired / timeout / unreachable / 401), payload redaction proven on the wire, a consequential action approved and denied by simulated phone decisions mid-run on both the Android and web bodies, the bus agent's phone channel against the real GhostBus server, and the MrGhosty v1.7.0 APK built and signature-verified with the approval store, receiver, and bridge endpoints compiled in (approval-store logic JVM-tested, 44 checks).

  • Unproven: live-model driving quality beyond the local fixtures — v0.7's eval harness measures any env-configured model on 8 graded local tasks (stub 8/8 = harness proof only; rules baseline 3/8; real-model results are reported per run, never stored as a standing claim), but the fixtures are small and local: how a model drives arbitrary third-party sites remains the model's business and unproven here; the Chromium driver against arbitrary third-party websites beyond the two live cases above; head-to-head speed vs any other tool (never measured, never claimed); bus mode against a deployed hosted GhostBus (proven against the real server booted locally, in both shapes); the Android body and the phone-approval flow on physical hardware — driver + MrGhosty bridge + approval UX are built, but no phone was attached during the v0.5/v0.6 builds; on-device proof waits on Ryan's install of MrGhosty v1.8.0 and his accessibility grant (then: adb forward tcp:8378 tcp:8378 and ghost-hands phone-approval-test). v0.9 ships the tools for exactly that run: ghost-hands doctor diagnoses the stack before and after, and ghost-hands phone-proof walks the five steps with him, checking each — both proven here against the fake bridge and a locally booted bus, neither yet run against his physical phone. One bus finding from the v0.4 work is resolved: GhostBus's file-backed store wrote through a single shared .tmp file whose rename could collide under heavy concurrent writers (HTTP 400) — fixed in GhostBus 0.4.1, regression-tested in the GhostBus suite since 0.5.0, and re-proven from this side in v0.7 (file-store bus demo

    • agent/poller barrage, zero 400s). A narrower characteristic remains, by GhostBus's design: shared-store state is re-read per operation (read-modify-write, so several processes can share one workspace file), which means many simultaneous writers can still lose updates silently — the agent+poller workload Ghost Hands actually generates is unaffected (measured).

Safety posture

  • No stealth. Ghost Hands identifies honestly and never disguises automation. Governance is the product; evasion is not a feature.

  • No stored keys. The OpenAI-compatible decider reads GHOST_HANDS_API_KEY / GHOST_HANDS_BASE_URL / GHOST_HANDS_MODEL from the environment only.

  • Denied means denied. A blocked, denied, or unapproved action never executes — and the trail shows the verdict and the reason.

Roadmap

  • GhostBus transport — hands as a bus agent other agents can task, approvals routed over the bus (v0.4.0).

  • Policy packs — named governor bundles: readonly / standard / strict (v0.4.0). Seatbelt/GhostGuard-flavored packs can follow the same data format.

  • Body Protocol — the written driver contract + a simulated phone body proving it (v0.4.0).

  • Android body — driver + MrGhosty bridge BUILT (v0.5.0): MrGhosty's accessibility service implements the Body Protocol behind a loopback, pairing-token bridge, and AndroidDriver speaks to it; on-device proof pending Ryan's install + accessibility grant. One hands, phone + web.

  • Approvals by phone push — DONE (v0.6.0), with one precise caveat about the word "push": approvals route to Ryan's phone through the MrGhosty bridge (notification + in-app decision) when the bridge is reachable; it is a local bridge channel, not a cloud push service. The bridge API has no decision endpoint — decisions happen only on the phone itself.

  • Model evaluation harness — BUILT (v0.7.0): ghost-hands eval grades a decider on 8 local tasks (4 on real Chromium) with per-task scoring and a JSON report; stub + rules baselines ship with it, real models plug in through the environment.

  • Android gestures — BUILT (v0.7.0, MrGhosty v1.8.0): double_click, drag, and click_at implemented on the real Android body via dispatchGesture; the simulator does not fake them.

  • Field kit — BUILT (v0.9.0): ghost-hands doctor (whole-stack diagnostics with plain-language fixes, --json for tooling, secrets never printed) and ghost-hands phone-proof (the guided five-step on-device proof — checked, scriptable, exit-coded). On-device proof itself still waits on Ryan's phone; these are the tools that run it with him.

Repository map

Links: PyPI · Site · Release v0.9.0 · CHANGELOG.md · LAUNCH.md

  • src/ghost_hands/ — the package, one module per layer: eyes (perception), actions, governor, policies (policy packs), trail, drivers (FakeDriver + our CDP ChromiumDriver), simphone (the simulated phone body), android_driver (the real Android body via the MrGhosty bridge), phone_approver (approvals decided on Ryan's phone), deciders, runner, export, busclient + busagent (GhostBus mode), evaluate (the v0.7 model-evaluation harness), report (the v0.8 trail → HTML audit report), doctor + phone_proof (the v0.9 field kit), mcp_server, cli, bench.

  • docs/BODY_PROTOCOL.md — the body contract, capability flags, conformance rules, and the Android mapping table.

  • docs/APPROVALS.md — the three approval channels (prompt, bus, phone), the no-API-decision rule, and the summary redaction rule.

  • tests/ — the pytest suite (395 tests at v0.9.0).

  • Bench — ghost-hands bench (offline, 95 cases at v0.9.0) and ghost-hands bench --live (opt-in real-web cases); bench code lives in src/ghost_hands/bench.py.

  • examples/ — sample steps and policy files for ghost-hands run, plus sample-report.html — a rendered audit report (from sample-trail.jsonl) showing exactly what ghost-hands report produces.

  • site/ — the project site source, deployed to GitHub Pages by .github/workflows/pages.yml.

  • LAUNCH.md — the launch runbook and copy pack, as written at launch.

  • PLAN.md — the field survey and design notes the build started from.

From Ghost Developer Studio

Ghost Hands is one part of the studio's agent-infrastructure family:

  • Visual roadmap board — where every studio product stands, in one picture: ghost-roadmaps

  • GhostGuard — the governance layer for autonomous systems: ghostguard

  • GhostBus — agent-to-agent message bus and shared workspace, exposed as an MCP server: ghostbus

  • Ghost Bridge — MCP bridge + self-hostable relay for handing tasks to a personal agent, with scoped keys and approvals: ghost-bridge

  • Agent Seatbelt — deterministic guardrails that gate what an AI coding agent does before it does it: agent-seatbelt

  • Ghost Developer Studio storefront — storefront

Built in public by Ryan Cotten / Ghost Developer Studio.

License

MIT — see LICENSE. © 2026 Ghost Developer Studio.

Available Tools

4 tools
hands_actA
Destructive

Perform one governed action (e.g. {"kind":"click","target":3}) on the perceived page. Consequential actions are denied without an approver (or decided by the phone when GHOST_HANDS_APPROVER=phone); the response states which channel decided.

NameRequiredDescriptionDefault
actionYes

TDQS

A3.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Adds genuinely non-schema information: consequential actions are gated by an approver, the channel can be switched to the phone via GHOST_HANDS_APPROVER, and the response reports which channel decided. That complements the destructive/openWorld/non-idempotent annotations with the governance model. It stops short of saying which kinds count as 'consequential' or what happens to state if an action is denied mid-flight.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler, and the example payload is front-loaded where it is most needed. The approval clause is dense but each clause covers distinct ground; only the parenthetical channel switch could be tightened.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, open-world, non-idempotent tool with an opaque nested parameter and no output schema, the definition covers the approval gate and the response's decision-channel field but leaves the action-type vocabulary and the failure/rollback outcome unspecified. An agent still cannot enumerate what it may ask for without trial and error.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% for a nested, free-form 'action' object, so the description carries the burden — and it does supply one worked example ({"kind":"click","target":3}) with the key field names kind and target. That is a meaningful lift over an empty object schema, but the full vocabulary of kinds and the meaning/source of target values remain undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('perform one governed action ... on the perceived page') and gives a concrete example payload, so the agent knows exactly what operation this is. It differentiates itself from hands_run only implicitly through 'one action' and 'perceived page', never naming the sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'One governed action' and 'on the perceived page' imply this is for a single step taken after hands_perceive and not for multi-step flows (hands_run), but neither the alternative nor the ordering requirement is stated outright. The agent must infer routing from adjectives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

hands_perceiveC
Read-onlyIdempotent

Open a URL (or install a fake web via 'pages') and return the numbered element map.

NameRequiredDescriptionDefault
urlNo
pagesNo

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered externally. The description adds two useful facts beyond that: the return is a numbered element map, and a mock/fake web can be installed via 'pages'. It stops short of describing the map's structure, how elements are numbered, or what openWorld access implies in practice.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with the action and return value front-loaded and no filler. The parenthetical about 'pages' is slightly awkward but does real work.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an open-world browser tool with a nested-object parameter, no output schema, and zero schema descriptions, the definition is too thin. It never explains the 'pages' object shape or the element map format an agent must consume to chain into hands_act.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the full burden. It hints at both parameters ('URL' and 'a fake web via pages'), but 'pages' is a free-form nested object whose shape is never explained, leaving an agent unable to construct a valid value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb-plus-resource: opens a URL and returns a numbered element map. That clearly separates it from hands_act/hands_run/hands_trail as the perception step, though the description never names those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance, and no reference to the sibling tools that would tell an agent whether to perceive first or act. The workflow role (perceive before acting) must be inferred from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

hands_runC
Destructive

Run scripted steps through the governed Runner. driver: 'fake', 'chromium', 'simphone' or 'android' (default: the session body, GHOST_HANDS_DRIVER).

NameRequiredDescriptionDefault
goalNo
pagesNo
stepsYes
driverNo
start_urlNo
approve_allNo

TDQS

C2.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and openWorldHint=true, so the safety profile is partly covered. However, the description does not mention approval requirements, side effects, or what 'governed' entails, and it never addresses the non-idempotent or destructive nature beyond the vague word 'governed'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with no wasted words. It is appropriately sized for what it covers, though it omits critical detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex, destructive, open-world tool with six parameters, nested objects, and no output schema. The description only partially covers the driver parameter and omits the structure of steps, the purpose of goal/pages/start_url, and the meaning of approve_all.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description carries the full burden. It only explains the driver parameter (with values and a default), leaving goal, pages, steps, start_url, and approve_all completely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb and resource: 'Run scripted steps through the governed Runner.' It is clear what the tool does, but it does not explicitly differentiate itself from siblings like hands_act or hands_perceive.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus hands_act, hands_trail, or hands_perceive. The phrase 'scripted steps' implies multi-step execution, but no alternatives or exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

hands_trailB
Read-onlyIdempotent

Return this session's trail events and per-run accounting.

NameRequiredDescriptionDefault

No parameters

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already establish that this is a safe, read-only, idempotent, non-destructive, closed-world operation. The description adds that results are scoped to 'this session' and include per-run accounting, but it does not describe return format, pagination, or event detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one tightly structured sentence with no filler. The purpose is front-loaded and every phrase contributes meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read-only tool this is mostly adequate, but because there is no output schema, the description could do more to explain what 'trail events' and 'per-run accounting' contain. It is sufficient to identify the tool but not fully informative about the returned data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there are no parameter semantics to explain. The schema is empty and the description understandably does not discuss parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a clear verb-and-resource pair: 'Return' plus 'this session's trail events and per-run accounting.' It states exactly what data the tool produces, but it does not distinguish the tool from siblings such as hands_run or hands_perceive.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description says what the tool returns but gives no explicit guidance on when to call it instead of hands_act, hands_run, or hands_perceive. Any usage context—such as inspecting session history versus running actions—must be inferred.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 4 tool updatesv0.9.2
    • First observedhands_act
    • First observedhands_perceive
    • First observedhands_run
    • First observedhands_trail

TDQS

B3.4/5.0

Scored across 4 tools

Disambiguation4/5

hands_perceive (observe/build element map) and hands_trail (read telemetry) are clearly distinct from the action tools, and hands_act vs hands_run is mostly separable by cardinality (one governed action vs scripted multi-step run). The boundary is slightly fuzzy since a single-step script could be expressed via either act or run, but the descriptions make the intended split readable.

Naming Consistency5/5

All four tools use the same hands_<verb> convention (hands_act, hands_run, hands_trail, hands_perceive) with concrete, unambiguous verbs. No mixing of casing or verb styles.

Tool Count5/5

Four tools map cleanly onto the core loop of a governed automation driver: perceive the page, act once, run a batch, inspect the trail. Each tool earns its place with no filler or redundancy, and the surface stays small enough to be trivially comprehensible.

Completeness4/5

The observe → act → batch-run → audit loop is fully covered, including approver-gated consequential actions. Minor gaps exist around session lifecycle (no explicit session start/close/reset) and approval management (approver state only reported indirectly via act responses), which agents can mostly work around.

Maintenance

ActivityMaintained
ResponsivenessResponsive

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