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Capture ad-hoc feedback about any skill for the decision trace system.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | skill-feedback |
| description | Capture ad-hoc feedback about any skill for the decision trace system. |
| disable-model-invocation | true |
| allowed-tools | Read, Write, Bash |
| argument-hint | <skill-name> "<feedback text>" |
Record feedback about any skill's behavior as a decision trace. This feeds the short loop (skill reads its own traces on future runs) and the long loop (/skill-improve analyzes accumulated traces to propose skill mutations).
Use this when you have feedback that doesn't correspond to a specific gate interaction — general impressions, workflow complaints, meta-observations, or suggestions.
Template paths are resolved from ${AGENTS_SKILLS_ROOT}/skill-feedback/.
Follow the Harnessy policy in .jarvis/context/docs/standards/skill-feedback-protocol.md when deciding whether feedback must be captured and which skill should receive the trace. The short rule is: capture reusable skill lessons, not empty retrospectives.
skill-name — the skill to attach feedback tofeedback text — free-text description of the issue, suggestion, or observation$ARGUMENTS.${AGENTS_SKILLS_ROOT}/<skill-name>/ or ~/.agents/skills/<skill-name>/ exists. If not, report the error and list similar skill names.
skill-feedback unless the recorder itself failed.python3 "${AGENTS_SKILLS_ROOT}/_shared/trace_capture.py" capture \
--skill "<skill-name>" \
--gate "ad_hoc" \
--gate-type "retrospective" \
--outcome "approved" \
--feedback "<feedback text>"
/skill-improve <skill-name>.Autonomous code refactoring agent that rewrites messy functions, splits large files, removes duplication, improves naming, enforces structure, and preserves behavior.
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