Install
$ agentstack add skill-arnie016-codex-prompt-templates-auto-skill-build-supercharge-feedback-loop ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Supercharge Feedback Loop
Generated by: Codex Supercharge maintenance automation.
Goal: make every meaningful Codex Supercharge create/edit/review leave a graded artifact trail and a compact handoff for the next agent or automation.
Workflow
- After changing or reviewing pack artifacts, run the feedback evaluator on the
changed files or the full pack.
- Include the task, action, validation commands, and concise notes.
- Read
.agent-runs/supercharge-status.mdbefore future Supercharge work. - Promote repeated feedback items into helper fixtures, skill audit checks, or
public-readiness gates.
- Keep feedback state local under
.agent-runs/; public export helpers exclude
it by design.
Commands
python3 plugins/codex-supercharge/scripts/supercharge_feedback.py evaluate \
--plugin-root plugins/codex-supercharge \
--task "Describe this Supercharge change" \
--action edited \
--artifact plugins/codex-supercharge/skills/example/SKILL.md \
--command "make -C plugins/codex-supercharge ci" \
--note "What changed and what remains"
python3 plugins/codex-supercharge/scripts/supercharge_feedback.py report \
--runs-dir plugins/codex-supercharge/.agent-runs \
--last 5
For a broad sweep, omit --artifact; the evaluator scans skills, references, scripts, metadata, and public docs.
Skip When
- The work is unrelated to
plugins/codex-supercharge. - The repo is too sensitive to persist local feedback state.
- You need hosted production traces, gateways, canaries, or live guardrails; use
$auto-skill-build-agent-reliability-loop.
References
plugins/codex-supercharge/references/supercharge-feedback-loop.mdplugins/codex-supercharge/references/agent-run-ledger.mdplugins/codex-supercharge/references/future-agi-agent-reliability-loop.md
Validation
python3 plugins/codex-supercharge/scripts/supercharge_feedback.py evaluate \
--plugin-root plugins/codex-supercharge \
--runs-dir /tmp/codex-supercharge-feedback-smoke \
--task "feedback smoke" \
--artifact plugins/codex-supercharge/skills/auto-skill-build-supercharge-feedback-loop/SKILL.md
python3 "$HOME/.codex/skills/.system/skill-creator/scripts/quick_validate.py" \
plugins/codex-supercharge/skills/auto-skill-build-supercharge-feedback-loop
The feedback run should append one JSONL batch and refresh supercharge-status.md plus evals.md.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Arnie016
- Source: Arnie016/codex-prompt-templates
- License: MIT
- Homepage: https://github.com/Arnie016/codex-prompt-templates
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.