fh-meta

Plugin fh-meta from marketplace forge-harness in chrono-meta/forge-harness. Commands read from the repo's manifest — today.

Skills (35)

• agent-composer

  Reads the current work context and plans the optimal agent dispatch. Clarifies direction with 1-2 questions when unclear; infers and proceeds immediately when execution path is unclear. Runs an automatic recording gate after each Wave completes. Triggered by "compose agents", "which agent should I u

• apex-review

  Reviews a technical proposal from the perspective of organizational decision-makers (CTO, technical lead, QA lead, conference reviewers, etc.) and generates an HTML presentation deck. Outputs approval gate results per persona and connects to sim-conductor for improvement suggestions.

• asset-placement-gate

  Routes a proposed skill, plugin, or agent to its correct home — forge-harness (FH) meta-skill, project-local agent, or drop — by applying a 4-criteria meta-skill bar followed by a project-local value test.

• auto-decorrelation

  Recruits cross-family verifier sidecars (codex, agy, local 4090 over Tailscale) for adversarial verification of load-bearing changes, maximizing model-family diversity against the orchestrator. Mechanically discovers the available sidecar panel, recruits at least one cross-family verifier when prese

• contention-layer

  When two skills, agents, or independent research tracks produce conflicting verdicts on the same output, reads the conflict as a signal rather than an error and harvests new skill candidates or insight deltas — including a Dual-Track Grounding conflict (open-frontier track vs internally-grounded rec

• context-doctor

  Reduces token waste in Claude Code sessions (run the built-in `/context` first; this skill covers what it does not) across two axes — context footprint (auto-generates .claudeignore, guides over-read files and /clear timing) and command output (routes to a command-output proxy/hook such as rtk to tr

• corpus-grounding-expander

  Fetches and normalizes multi-version public-domain corpora into a single verified-axiom store for verbatim-relay grounding, recording per-version license and provenance.

• cross-ecosystem-synergy-detection

  Automatically discovers useful combinations (synergy pairs) across multiple installed plugins and skills, and presents them as a ranked table. Proactively suggests undiscovered synergies when new projects or skills are registered in the registry. Activates on phrases like "do my installed tools work

• deep-clarify

  Clarifies ambiguous requests through Socratic dialogue, drawing out goals, completion criteria, and constraints to produce a structured spec document. Pre-dispatch requirement clarification step for agent dispatch. Triggered by "I don't know what to build", "how should I approach this", "organize th

• dialogue-harvest

  Mines improvement insights from long-form AI dialogue logs and long texts — an external or pasted corpus, not the current session (current-session wrap-up belongs to harvest-loop). First operation is sycophancy removal — separates speakers, strips the counterpart's agreement/restatement spans, conve

• edit-manifest

  Implements a predict-verify loop for harness edits. Every SKILL.md, rules/*.md, or CLAUDE.md change is paired with a predicted impact stored in a manifest. The next session verifies predictions against actual outcomes, and a validation gate accepts edits only when improvement is measurable. Runs aut

• fh

  Renders the FH hub map on demand — the door menu, a starter set of skills, and the most-used trigger phrases — without requiring a greeting. State-aware; composes live candidates from the session card and tracks.

• field-harvest

  Scans git history of field projects to detect patterns worth backporting to the meta-harness (Mode A), and logs session work to the knowledge hub when a session ends (Mode B). Triggers on "save this pattern", "make this reusable across projects", "can we automate this repetition?", "push this to FH"

• frontier-digest

  Collects the latest AI/harness engineering trends from HackerNews, arxiv, launch channels (Launch YC, Product Hunt, Show HN), GeekNews and vendor changelogs, then synthesizes them into actionable insights directly relevant to forge-harness operations. Triggered by "AI trends", "latest trends", "this

• goal-quench

  Wraps /goal with a tiered safety + orchestration ladder. core (default): a token budget gate (pre-run estimate), mid-run budget thresholds, and an automatic post-run quality verification via pipeline-conductor — closing /goal's two gaps (the runner's per-turn judge evaluates completion, pipeline-con

• harness-doctor

  Scans a project's harness structure (.claude/ directory, CLAUDE.md, rules, agents) to diagnose complexity, drift, missing files, and broken references, then suggests improvements. `--lint` flag adds language-pattern scan (self-marketing, cushion words, version brags). Triggered by "harness check", "

• harness-pr-reviewer

  Checks a submitted PR against the environment's baseline assets (CLAUDE.md, memory, naming, asset classification) and attaches a review comment with a merge recommendation. 5 steps — diff read, 8-area consistency check, self-catch, comment, merge recommendation.

• harvest-loop

  An 8-step self-evolution pipeline that runs after field sessions end (field-harvest → contention-layer → challenger + persona-innovator → synthesizer → Critic agent → harness-doctor → verify-bidirectional → curator), absorbing session learnings back into the FH ecosystem. Runs automatically at sessi

• install-doctor

  Scans the existing environment (after the built-in `/doctor` — this covers FH-plugin conflicts it does not) before and after meta-harness plugin install to diagnose conflicts, duplicates, and silent overwrite risks. Reports potential conflict areas with existing CLAUDE.md, skills, hooks, and audit p

• install-wizard

  Run when setting up a new project for the first time or onboarding after installing FH (first setup, initial configuration, onboarding start, configure project, help me set up). Performs environment detection → gap diagnosis → item-by-item suggestions → user approval → execution → acceleration basel

• marketplace-gate

  Evaluates whether a repository meets marketplace listing criteria via a 5-point check and outputs a listing suitability verdict. Checks README completeness, zero-config readiness, maintenance signals, duplication, and public safety.

• memory-hygiene

  Detects "stale-but-confident" memory entries — facts that were once verified but have silently drifted. Scans memory/*.md for entries past their staleness threshold and proposes re-verification or archival. Runs automatically as part of harvest-loop Step 0-c and on explicit invocation.

• meta-prompt-builder

  Generates structured prompts to send to each agent in an agent dispatch plan. Triggered by "write the instructions", "what do I say to the agent?", "write the prompt for me", "meta-prompt-builder". Bridges agent-composer (which agents) and prompt content (what to say). Uses Goal/Context/Constraints/

• persona-roster-expander

  Expands a named persona seed into a tiered, judgment-mapped cast — tiering each persona by a domain safety rule, mapping each to a decision-lens in the user's vocabulary, then proposing additional voices with sourced anchors.

• phantom-quench

  Input-tracing grounding audit for artifacts such as test cases, analysis reports, and design docs. Extracts proper nouns, numbers, citations, version claims, and branching conditions, then back-traces each to declared local files by grep or to external sources by fetch-and-support checks. Marks miss

• pipeline-conductor

  Chains the four core FH verification pipelines (harvest-loop → steel-quench → phantom-quench → sim-conductor) into a single gated sweep. Accepts a scope (single skill, specific asset, full harness) and aggregates results into one structured report. Supports --quick mode (steps 2+3 only) and --full m

• plugin-recommender

  Given a task description, searches internal and external open-source ecosystems (including Codex marketplace and Claude Code marketplace) to find and recommend suitable plugins with installation guidance. Recommendation is quality-validation based (marketplace-listed + performance-validated), not so

• prompt-regression

  Statically checks harness assets against a known-answer probe set after rule/skill changes — inspects the changed source for the trigger phrases, chain links and gate conditions each probe expects, and reports PASS/FAIL/SKIP per probe. Source inspection only; it does not run live sessions, so it cat

• public-surface-audit

  Scans git-tracked (public) files for operator-private tokens that should live only in gitignored files — real usernames, absolute home paths, companion-store names, company asset names. Reports file:line + matched token + severity, so a public/private split stays clean before publish. Triggered by "

• return-path-gate

  Audits SKILL.md files in plugins/ for return-path gate compliance. Detects fire-and-forget chains where a caller dispatches a downstream skill but does not gate its next step on the callee's verdict. Reports each chain as CLOSED or OPEN and outputs specific fix suggestions. Triggered by "chain audit

• salience-splitter

  Splits an over-loaded always-loaded context asset (SKILL.md, CLAUDE.md, memory index) into a lean resident layer plus an on-demand layer, by when content is needed rather than by length, linked by imperative pointers. Alias: skill-splitter. Triggers: "SKILL.md too large", "split this skill", "skill

• sim-conductor

  Autonomously runs external user reaction simulations, internal audits, ideation scans, artifact validation, and quality reviews. Profiles the target artifact first, then derives task-appropriate personas, dispatches them as parallel agents, classifies findings into M/S/R tiers, and completes the pip

• steel-quench

  All-angle verification meta-skill for near-complete artifacts. Turns vague design anxiety into structured challenger waves using fh-commons:quench-challenger, then drives defense and convergence until root weaknesses, residual risks, and added complexity are explicit. Covers standard attack/defense

• verify-bidirectional

  A skill that immediately updates the baseline and reflects it in the next session when the user raises a counter-argument to an AI recommendation. Triggered by "is that right?", "re-examine this", "something seems off here". Explicit /verify-bidirectional call also possible.

• video-ingest

  Ingests a video's content (YouTube and similar) for agent context, routing by capability, task need, and video length — a natively multimodal engine (Gemini via agy or the Gemini API) for direct-URL and long video, Claude vision over ffmpeg-extracted frames when no such engine is present, yt-dlp cap

Subagents (7)

• beginner

  Frontier-grade first-contact standpoint evaluator. Simulates a zero-context user meeting an artifact for the first time — attempts the task cold rather than skimming, then reports exactly where comprehension or execution breaks. Lowest tier of the user-mastery spectrum (beginner → main-player → expe

• challenger

  Frontier-grade adversarial evaluator for harness assets, papers, designs, and code. Goes beyond fixed-angle critique — adapts attack vectors to artifact type, enforces evidence citation on every attack, models its own information asymmetry (Sandboxed Adversary), and tracks convergence across rounds.

• expert

  Frontier-grade domain-authority evaluator. Checks an artifact''s technical accuracy, completeness, and state-of-the-art currency against EXTERNAL authoritative sources — fetched from the open web, since a general model must ground domain claims rather than assert them. Top tier of the user-mastery s

• fact-checker

  Use when (1) about to recommend an asset, skill, or agent that may already exist in the hub, (2) memory or docs contain stale facts, dates, or references, or (3) duplicate work is suspected. Greps hub assets and reports findings. Not for general code review or external persona audits.

• hub-persona-auditor

  Use when an external-facing draft (briefing, card, guide) is ready for pre-publication audit. Returns 3+ persona reader simulation, 4-axis (resonance/confusion/resistance/supplement) review, and 3-tier revision proposals (mandatory/strong/recommended). Do not use for internal memos, CATALOG entries,

• main-player

  Frontier-grade engaged-user standpoint evaluator. Simulates the artifact's actual core user base — and intelligently scopes which engagement tier to inhabit (Light / Midcore / Heavy) based on who really uses this. Middle tier of the user-mastery spectrum (beginner → main-player → expert). The Heavy

• persona-innovator

  Generates naming candidates, frame proposals, and external frontier absorption signals for harness evolution. Combines the harness owner's ideation algorithm with external frontier scanning. Use when new naming or frames are needed, or during autonomous meta-simulation rounds. Supports environments

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