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SKILL verified MIT Self-run

Auto Skill Build Supercharge Feedback Loop

skill-arnie016-codex-prompt-templates-auto-skill-build-supercharge-feedback-loop · by Arnie016

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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

✓ Passed

No 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.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-arnie016-codex-prompt-templates-auto-skill-build-supercharge-feedback-loop)

Reliability & compatibility

✓ Security review passed
0 installs to date
— no reviews yet
○ 4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Auto Skill Build Supercharge Feedback Loop? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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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

  1. After changing or reviewing pack artifacts, run the feedback evaluator on the

changed files or the full pack.

  1. Include the task, action, validation commands, and concise notes.
  2. Read .agent-runs/supercharge-status.md before future Supercharge work.
  3. Promote repeated feedback items into helper fixtures, skill audit checks, or

public-readiness gates.

  1. 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.md
  • plugins/codex-supercharge/references/agent-run-ledger.md
  • plugins/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.

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.

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