Agent Config — Universal AI Agent OS

Choose your experience — developer · founder · content · agency · finance · ops. Add packs. Get a focused command set, not a 500-artefact dump. Bring your own AI provider.

Six role-shaped entry paths, one shared skills + rules + commands layer that turns any host agent (Claude Code, Augment, Cursor, Copilot, Windsurf) into a reliable team member — without locking you to a single model or vendor.

Pick your profile — six entry paths

agent-config setup writes profile.id to .agent-settings.yml; each anchor below is the first-screen the wizard sends you to. One README, six entries, no role-detection guesswork.

Not sure which one? Run npx @event4u/agent-config init then agent-config setup — the browser wizard asks a single 8-option role question and maps to the closest profile. Source-of-truth: src/agent-src/profiles/ · schema: docs/contracts/profile-system.md. Beyond software: user-types/ (galabau · metalworking · truck — see Beyond software.

Per-profile experience pages (who it's for · first tasks · packs + flows · what is not loaded · examples): developer · content_creator · founder · agency · finance · ops.

Workflows, not raw commands

You don't memorize 150 commands — you run a work journey. Four flows span the developer story end-to-end; each names the command you TYPE to start and the skills it composes:

Full detail — entry commands, canonical path, composed skills per flow: docs/flows.md. (agent-admin — memory / analytics / config — is platform operation, not a user-work flow.)

Creative Pack — cinematic AI video. script → character-locked image → motion+audio prompt → provider render → stitched clip, with AIV_DRYRUN=true as the cost-safety default. A first-class capability inside the content / creator experience — no longer the package's headline. See /video:from-script.

The headline is the experience (profile + packs), not the raw counts. Full catalog: docs/catalog.md.

Use it in your project

Run from a consumer repo — bootstrap via npx, the agent picks up your stack, and you ship work end-to-end. New install? Start with the Quickstart. Already installed? Supported tools shows the wired AIs; docs/featured-commands.md lists the end-to-end workflows (/implement-ticket, /work, /commit, /create-pr). Deeper tour: 2-minute demo.

Install scope. Pick one scope per machine — project-local (default, recommended for application repos) or user-global (recommended for tooling repos / dotfiles). The installer refuses a second, conflicting scope via the scope_guard pre-flight. Details: docs/contracts/install-scopes.md. Cleanup when needed: bash scripts/cleanup_other_scope.sh --confirm.

Related MCP server: Agent Module

Prove it

Audit-disciplined by construction — every memory consult, decision key, and hook concern lands in agents/runtime/state/ so you can replay it. Core principles names the four invariants; What agent-config is — and what it isn't draws the scope boundary.

Contribute

Working on the package itself? Development covers the task ci pipeline, Requirements the toolchain, Maintainer telemetry the opt-in measurement loop. Source-of-truth tree is src/ (src/skills, src/rules, src/agent-src/); never hand-edit .augment/ or dist/agent-src/.

Quickstart

Three steps. Five minutes. Browser wizard, no YAML by hand.

# 1. Install — on a terminal with a display, the browser wizard launches
#    automatically; the same install.py runs the real install behind it.
npx -y @event4u/agent-config init

# 2. Pick your profile + tools in the wizard, click Finish.
#    (Writes ~/.event4u/agent-config/, ~/.claude/, ~/.cursor/, …)

# 3. First real task — agent refines, plans, verifies.
/work "your first real task"

Headless / CI: init skips the GUI automatically when CI is set, stdout is not a TTY, --no-ui is passed, or an explicit --tools= selection is given — it then runs the non-interactive installer directly. Pass flags (--profile=developer --tools=claude-code,cursor); add --dry-run to preview writes. The GUI and the CLI share one installer (scripts/install.py), so both produce identical results. Reference: docs/wizard.md.

Pick specific AIs: --tools=claude-code,cursor,augment,windsurf,cline,gemini-cli,copilot,roocode,aider,codex,claude-desktop,continue (any subset). Visual picker: add --gui (loopback-bound, CSRF-gated; contract gui-wizard).

Verify hook coverage: npx @event4u/agent-config hooks:status prints the per-platform matrix (--strict for CI, --format json for tooling).

Scope (v2.5+): init writes global only — ~/.event4u/agent-config/, ~/.claude/, ~/.cursor/, …. The project tree gets agents/overrides/ + agents/.event4u-bridge.yml. --project is maintainer-only behind AGENT_CONFIG_DEV_MODE=1 (ADR-020, dev-mode).

Migrating from a v1.x install? npx @event4u/agent-config migrate — full notes in docs/migration/v1-to-v2.md.

npm error ETARGET / No matching version found for <dep>? Re-run with a forced fresh metadata fetch:

npx -y --prefer-online @event4u/agent-config init

This happens when the project's .npmrc sets prefer-offline=true (or points at a private-registry mirror): npm resolves our dependencies against stale cached metadata that predates a recently published version. --prefer-online bypasses the cache for this run; npm cache verify fixes it permanently for that machine.

What agent-config is — and what it isn't

A content layer — skills, rules, commands, guidelines, personas — distributed via npm and projected into every supported AI tool's native config format. It follows the Agent Skills open standard.

It is not an agent runtime. The agent loop, the LLM dispatcher, and tool orchestration stay with the host tool (Claude Code, Augment, Cursor, Cline, Windsurf, Gemini CLI, Copilot). Think of it as a playbook and style guide for those tools — not a replacement.

What your agent is asked to do

2-minute demo — /implement-ticket

The flagship command. Drives a ticket end-to-end through a fixed linear flow — and blocks on ambiguity instead of guessing.

/implement-ticket PROJ-123

The agent runs this sequence:

refine → memory → analyze → plan → implement → test → verify → report

• Refines the ticket if acceptance criteria are vague.

• Queries memory for past decisions, invariants, incidents.

• Plans the change; you confirm before any file is touched.

• Implements under minimal-safe-diff + scope-control — no drive-by edits.

• Tests (targeted first, full suite on success).

• Reviews the diff through four judges (bugs, security, tests, code quality).

• Reports changes, verdicts, follow-ups — then stops. /commit and /create-pr are suggestions, never auto-run.

Any ambiguity halts the flow with numbered options — never a silent guess. Persona comes from .agent-settings.yml (roles.active_role): senior-engineer (default), qa, or advisory (plan-only).

→ Command reference · Flow contract

Sibling — /work (free-form prompt)

Same engine, no ticket required:

/work add a CSV export endpoint to the audit-log controller

The first pass scores the prompt on five dimensions and routes on the band:

After the band gate, the flow is identical to /implement-ticket. Free-form goal → /work; ticket payload → /implement-ticket.

→ Command reference · refine-prompt skill

After the run: agent-config explain last reconstructs the trace (route · memory · council · halts · provider) — read-only, PII-scrubbed, offline. Docs

Product UI track

UI-shaped work routes to one of three directive sets — ui (full audit→design→apply→review→polish→report), ui-trivial (≤ 1 file, ≤ 5 lines: apply→test→report), mixed (backend + UI: contract→ui→stitch). Existing-UI audit is a hard gate (ui-audit-gate); polish has a 2-round ceiling with a11y precedence. Stack detection → blade-livewire-flux / react-shadcn / vue / plain.

→ Mental model (1 page) · Flow contract

Customize

Profiles — how much governance gets loaded

Safety floor (non-destructive defaults · ask-before-guessing · mirror-the-user's-language) ships in every profile. What changes is how much extra coaching gets pulled in.

Under the hood: kernel-only · kernel + tier-1 · kernel + tier-1 + tier-2. Details: rule-router · kernel-membership · Configure →.

Stability: STABILITY.md for the full matrix. Work Engine (/work + /implement-ticket): beta. Runtime Dispatcher: stable. Tool Adapters: experimental (full profile only).

.agent-user.md and Ghostwriter — voice primitives

Create the user file interactively: /agents user init (schema). Ghostwriter cluster: /ghostwriter:fetch <url-or-name> runs an attestation gate; private individuals rejected; paywalled / leaked / DM content banned at the schema level.

Self-hosted MCP on Cloudflare — zero local install

Skills, commands, rules, and guidelines can be served as an MCP endpoint from your own Cloudflare Worker — any MCP client (Claude Desktop, Claude Code, Cursor, Zed, Continue, hosted agents) talks to it over HTTP. Two auth modes: public (default, OSS read-only deploys) and bearer-auth (operator opt-in, MCP-Token Wrangler secret).

task mcp:cloud:login         # one-time, opens browser
task mcp:cloud:setup         # check → r2-create → r2-verify → whoami
task mcp:cloud:secret-put    # opt in to bearer-auth (recommended for private deploys)

→ Operator walkthrough: mcp-cloud-setup · Per-client config: mcp-client-config · Endpoints: mcp-cloud-endpoints.

Scope — Lite, not Full. The Worker serves read-only governance (skills · commands · rules · guidelines · contexts) as MCP prompts and resources, plus small read-only tools (memory_lookup, chat_history_read, list_*). It does not execute the ~112 Python scripts (linters, audits, task ci, work-engine hooks) — those require local install per Quickstart.

The built-in local stdio server is listed for discovery in the Glama MCP Registry (agent developers / contributors; requires a local checkout, not a turnkey install — see ADR-067).

Deployment posture

The Hard Floor on organization-mode features (SSO, central policy, OAuth connectors, team-context) is preserved by design — they stay cancelled until a real first customer + funded security audit lifts them. The small-team recipe is the supported path in the meantime.

The 9.3/10 feedback round (2026-05-25) re-asked for OAuth knowledge connectors, IAM / org governance, and organization-shared memory. Each is a stable cancellation row in team-deployment-posture under the same three release gates — recruited team customer · funded audit · maintainer ADR.

Optional: persistent agent memory

@event4u/agent-memory — MCP-based backend for cross-session learnings. Strictly optional; without it, skills fall back to file-based memory under agents/memory/.

npm install --save-dev @event4u/agent-memory

→ Memory contract · Built-in MCP server (experimental)

Harness expectations

Three classes of install/runtime behaviour look like package bugs but are host-harness behaviour the package cannot control — sibling-plugin namespaces (codex:*, cc-gemini-plugin:*), deferred tools surfaced via ToolSearch, and cross-scope skill drift (real bug, fixed in the distribution-channels track). Diagnostics + the package's response: docs/contracts/harness-expectations.md. First step when a skill appears twice: task probe:skills.

Supported tools

Project-installed (npx)

✅ native   ☑️ text reference (in AGENTS.md, not invokable as native slash-command)   📌 marker only   — not available

Team reproducibility: every tool you init is recorded in agents/installed-tools.lock (committed, machine-managed). New team members run npx @event4u/agent-config sync after cloning; CI gates drift with agent-config validate. Schema: installed-tools-manifest.

Plugin-installed (optional, global)

Keep the global install current with agent-config upgrade (latest) or agent-config refresh --global (same-version re-install); agent-config doctor flags a missing-from-PATH binary or binary↔plugin version drift. See getting-started § Keeping current.

Cloud / Hosted-agent surfaces

For platforms where the package's scripts cannot run, artefacts are built for paste-in or upload:

• Linear AI (Codegen, Charlie, …) — dist/linear/{workspace,team,personal}.md

• Claude.ai Web Skills — dist/cloud/<skill>.zip

→ Install →

Who this is for

Stack-agnostic governance core (orchestration · role modes · command clusters · quality gates · audit-discipline) plus parallel stack-specific skill sets:

Beyond software

The same orchestration core drives non-software trades via user-types/: galabau-field-crew · metalworking-shop · truck-driver. Contribute your own — 5-minute scaffold.

Data governance & domain safety

Three domain-safety rules (domain-safety-pii, domain-safety-disclaimer, domain-safety-retention) act as per-domain output floors across ~12 areas — PII redaction (support / finance / recruiting / marketing), advice disclaimers (legal / financial / medical / consulting), retention guidance (finance / support), ops floors (logging / export). Full surface → rule → floor matrix: docs/safety.md. Beta contracts: memory-visibility-v1 · decision-trace-v1.

Maintainer telemetry (opt-in, default-off)

Local-only artefact-engagement log. Set telemetry.artifact_engagement.enabled: true in .agent-settings.yml. Records which skills / rules / commands / guidelines the agent consults during /implement-ticket / /work. JSONL under the project root, nothing uploaded. Reports: npx @event4u/agent-config telemetry:report.

Context-aware command suggestion

When a prompt matches a command's purpose ("setze ticket ABC-123 um" → /implement-ticket), the agent surfaces matches as numbered options — nothing auto-executes. Per-conversation off: /command-suggestion-off. Settings: commands.suggestion.{enabled,blocklist,confidence_floor} in .agent-settings.yml.

Core principles

• Analyze before implementing — no guessing, no blind edits

• Verify with real execution — no "should work"

• Challenge to improve — agents are thought partners, not yes-machines

• Strict by design — quality over flexibility

• Zero overhead by default — nothing runs until you ask for it

Documentation

Browse content: all 150 commands · skills catalog · full catalog · llms.txt.

Development

Working on the package itself? Edit src/ (the source of truth — src/skills, src/rules, src/agent-src/), regenerate trees:

task sync             # regenerate dist/agent-src/ and .augment/
task generate-tools   # regenerate .claude/, .cursor/, .clinerules/, .windsurfrules
task ci               # full pipeline — green before PR
task test             # unit + integration tests
task dev:setup        # boot the onboarding wizard against the working tree

Invoking the CLI from a source checkout: ./agent-config <command> (the maintainer shim at the repo root → scripts/agent-config → dist/cli/agent-config.js). npx @event4u/agent-config doesn't resolve in the source repo without a prior npm link, since there's no node_modules/.bin/agent-config symlink — use ./agent-config instead. Build the TS binary with npm run build:cli if dist/cli/agent-config.js is missing.

→ Full project structure and commands: docs/development.md · CONTRIBUTING.md. Stack: TypeScript CLI/UI + Python 3.10+ build/lint scripts. MCP registry payloads render under dist/mcp/ (submission checklist).

Requirements

• Node ≥ 18 — npx @event4u/agent-config init is the canonical install path.

• Python 3.10+ — bridge stage only; missing → installer skips bridges.

• Platform: macOS 12.3+, Linux, WSL2. Git Bash needs Developer Mode for symlinks; native PowerShell / cmd unsupported. Contributors rebuilding .augment/ also need Task.

License

MIT.