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Capture ad-hoc feedback about any skill for the decision trace system.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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| 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>.