Capture an up/down signal plus one line of why. Vague feedback is logged, then returned with a clarification prompt instead of memory promotion.

Get summary of recent feedback

Search promoted lessons and show the corrective actions, lifecycle state, prevention rules, gates, and next harness fixes linked to each result.

Retrieve the most relevant lessons for a given tool/action context. Use in PreToolUse hooks for per-action guidance.

Search raw ThumbGate state across feedback logs, ContextFS memory, prevention rules, and imported policy documents.

Plan a high-ROI multimodal retrieval rollout for screenshots, PDF pages, dashboard captures, and proof artifacts without starting GPU training.

Estimate MCP schema and feedback-context footprint before loading large manifests into an agent prompt. Reports progressive-discovery savings, context compaction savings, and proof-preserving recommendations.

Evaluate an agent workflow before adding tools, autonomy, or subagents. Recommends single-agent vs manager/decentralized patterns, baseline evals, instruction fixes, and tool safeguards.

Map proactive-assistant eval gaps to PARE-style state-machine, active-user-simulation, goal-inference, intervention-timing, and multi-app orchestration gates.

Detect reward-hacking patterns such as unsupported completion claims, sycophancy, verbosity-as-proof, benchmark overfitting, evaluator manipulation, and proxy-only metrics.

Rank upstream GitHub repositories ThumbGate depends on for proof-backed issue, bounty, and PR opportunities without spammy drive-by contributions.

Prepare ThumbGate intent clusters, ad copy, proof links, UTM measurement, and launch gates for ChatGPT Ads Manager tests.

Import a local policy or runbook document into ThumbGate, normalize it for search, and propose provenance-backed gate candidates.

List imported policy and runbook documents stored in local ThumbGate state.

Read a previously imported document with its proposed gate candidates and provenance.

Get feedback stats and recommendations

Diagnose a failed or suspect workflow step using MCP schema, workflow, gate, and approval constraints.

Perform autonomous inference on chat history to identify why a failure occurred and what rule should be recorded.

List available intent plans and whether each requires human approval in the active profile

Generate an intent execution plan with policy checkpoints

Start a sequential delegation handoff from a delegation-eligible intent plan

Complete a sequential delegation handoff and record verification outcomes

Get the definition and state of a business entity (Customer, Revenue, Funnel). Aliased to describe_semantic_entity.

Retrieve active prevention rules and success patterns. Aliased to prevention_rules.

Show the full Enforcement Matrix: feedback pipeline stats, active pre-action checks, and rejection ledger with revival conditions.

Scan code for OWASP vulnerabilities (injection, XSS, path traversal, SSRF, prototype pollution) and supply chain risks (typosquatting, install script abuse, wildcard versions). Returns findings with severity, category, and line numbers.

Capture success/failure feedback to harden future workflows. Aliased to capture_feedback.

Normalize a GitHub/Slack/Linear trigger into startup context, construct a recall pack, prepare a git worktree sandbox, and emit an execution plus reviewer-lane plan.

Generate prevention rules from repeated mistake patterns

Export DPO preference pairs from local memory log

Export ThumbGate agent traces and DPO preference pairs as a HuggingFace-compatible dataset. Produces traces.jsonl, preferences.jsonl, and dataset_info.json with PII-redacted paths. Ready for huggingface-cli upload.

Export ThumbGate logs and proof artifacts as a Databricks-ready analytics bundle

Construct a bounded context pack from contextfs

Record evaluation outcome for a context pack

Get recent context/provenance events

Auto-generate Claude skills from repeated feedback patterns. Clusters failure patterns by tags and produces SKILL.md files with DO/INSTEAD rules.

Recall relevant past feedback, memories, and prevention rules for the current task. Call this at the start of any task to inject past learnings into the conversation.

Assemble a complete, role-aware context object in one call. Combines session state, user profile, relevant lessons, prevention guards, context pack, and code-graph impact — with tiered graceful degradation (full → warm → cold). Replaces multiple recall/retrieve/session_primer calls with a single orchestrated request.

Satisfy a gate condition with optional structured reasoning. Evidence is stored with a 5-minute TTL. When structuredReasoning is provided, the premise/evidence/conclusion chain is stored in the audit trail.

Declare or clear the current task scope so ThumbGate can compare affected files and diffs against the approved path set.

Return the active task scope and any unexpired protected-file approvals.

Declare or clear branch and release governance so PR, merge, release, and publish actions can be evaluated against explicit workflow state.

Return the active branch and release governance state.

Grant a time-limited approval for edits or publish actions that touch protected files.

Record a verification action in the current session (for example figma_verified or tests_passed). Session actions expire after one hour.

Check whether a claim has enough tracked evidence before the agent asserts it.

Evaluate whether the current repo state is safe for PR, merge, release, and publish operations.

Predict pre-action workflow risk, blast radius, and remediations before a tool call executes.

Register a custom claim verification rule in local runtime state without editing tracked repo config.

Get gate enforcement statistics -- blocked count, warned count, top gates

Get full ThumbGate dashboard -- Harness Score, gate stats, prevention impact, proof, and system health

Org-wide multi-agent dashboard — shows all active agents, gate decisions, adherence rates, risk agents, and top blocked gates across the organization. Team rollout: full visibility. Free preview: limited to 3 agents.

Resolve managed, user, project, and local ThumbGate settings with per-field origin metadata for policy visibility.

Audit local browser native messaging hosts and AI browser bridges. Flags missing host binaries, pre-authorized extension bridges, and manifests for browsers not detected locally.

Recall past feedback filtered by commerce categories (product_recommendation, brand_compliance, sizing, pricing, regulatory). Returns quality scores alongside memories for agentic commerce agents.

Retrieve high-level business metrics (Revenue, Conversion, Customers) from the Semantic Layer.

Get the canonical definition and state of a business entity (Customer, Revenue, Funnel).

Estimate Bayesian uncertainty for a set of tags based on past feedback.

Write a session handoff primer that auto-captures git state (branch, last 5 commits, modified files), last completed task, next step, and blockers. The next session reads this automatically for seamless context continuity.

Read the most recent session handoff primer to restore context from the previous session. Call at session start.

List natural-language harness specs for portable workflow control, proof-backed verification, and GTM execution.

Execute a natural-language harness through the async job runner with checkpoints, verification, and proof-backed outcomes.

Run a bounded metric-improvement loop: measure a baseline, test a hypothesis, require primary and holdout checks, then keep or discard the candidate mutation with proof.

Create, list, or delete scheduled tasks. Supports natural language scheduling like "daily 9:00", "weekly monday 8:30", "hourly". Installs as macOS LaunchAgent or Linux crontab.

Manage persistent user profile — preferences, style, domain knowledge that persists across sessions. Actions: add, remove, replace, view.

Search past session notes and conversations using full-text search. Returns relevant sessions from the SQLite FTS5 index for cross-session recall.

Open a feedback session after thumbs up/down. Follow-up messages will be captured for 60s.

Append a follow-up message to an open feedback session. Call this when the user types additional context after giving thumbs up/down.

Finalize a feedback session and re-infer the lesson with all follow-up context.

Send a message to Teams, Slack, or Discord via webhook. Use for status reports, alerts, and notifications.

Run a post-mortem analysis on negative feedback. Returns a proposed rule and recurrence info.

Report a bug, suggestion, or complaint about ThumbGate itself (not project feedback). Auto-files a GitHub issue with system context. Use when the user expresses frustration or requests a feature for the thumbgate tool.

Run the LLM-powered lesson inference and rule generation agent over accumulated feedback. Requires ANTHROPIC_API_KEY for LLM mode; falls back to heuristics if unavailable.

Show status of the last managed lesson agent run: entries processed, lessons created, gates promoted, and total runs.

Run the self-distillation agent to auto-evaluate recent agent sessions and generate improvement lessons without human feedback. Reads conversation logs, detects success/failure signals, and persists lessons.

Show status of the last self-distillation run: sessions analyzed, lessons generated, signals detected.

Leader-Agent completion gate. Before any agent declares done/fixed/shipped/resolved, require tracked evidence. Blocking response when evidence missing; callers honor the blocking flag to stop completion claims.

Leader-Agent swarm coordinator. Constructs one context pack and distributes it to N worker agents (perplexity-bug-resolver, codex-reviewer, grok-x-intelligence, etc.), recording provenance per agent. Replaces N independent context derivations with a single shared pack.

Unified observability rollup. Aggregates feedback stats, gate stats, and recent context/provenance events over a time window in one call. Replaces separate dashboard/gate_stats/feedback_stats calls with a single LangSmith-style report.

Dynamic operator artifact generator. Turns ThumbGate PR, reliability, revenue, and release data into a decision-ready pulse with metrics, evidence, and next actions.

Dump ALL prevention lessons into a single text block for context-window injection. Bypasses RAG/search — returns every lesson sorted by confidence. For most projects (20-200 lessons), fits in 1K-10K tokens.