Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ash1794/vibe-engineering/quality-loopnpx skills add ash1794/vibe-engineering --skill quality-loopgit clone --depth 1 https://github.com/ash1794/vibe-engineeringWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00038 | $0.00617 |
| Opus 5 | $0.00019 | $0.00309 |
| Sonnet 5 | $0.00008 | $0.00123 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
vibe-quality-loop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- vibe-quality-loop — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
vibe-quality-loop
The quality loop prevents premature "done" declarations. You keep iterating until the work is actually clean.
When to Use This Skill
- After any implementation that touches more than 3 files
- After implementing a feature with tests
- When you've made changes and want to verify quality
- Before creating a commit on completed work
When NOT to Use This Skill
- Single-line fixes or typo corrections
- Documentation-only changes
- When the user says "just get it working, we'll clean up later"
The Loop
┌─────────────┐
│ Implement │
└──────┬──────┘
v
┌─────────────┐
│ Self-Review │ ← Read your own diff. Would you approve this PR?
└──────┬──────┘
v
┌─────────────┐
│ Run Tests │ ← ALL tests, not just the ones you wrote
└──────┬──────┘
│
├── Tests pass + Review clean → EXIT (done!)
│
v
┌─────────────┐
│ Fix Issues │ ← Fix what broke, don't add new features
└──────┬──────┘
│
└── Go back to Self-Review
Steps
-
Self-Review — Read your entire diff. Check for:
- Unused imports/variables
- Hardcoded values that should be constants
- Missing error handling at system boundaries
- Functions over 50 lines
- Any TODO without an issue reference
-
Run Tests — Run the full test suite, not just affected tests:
- If Go:
go test ./...andgo test -race ./... - If JS/TS:
npm testor equivalent - If Python:
pytest - Note any failures
- If Go:
-
Fix Issues — Address ONLY the issues found. Don't add features.
-
Loop — Go back to step 1. Track iteration count.
-
Exit — When tests pass AND review is clean. Report iteration count.
Output Format
Quality Loop: [Feature Name]
Iterations: X Final Status: CLEAN / KNOWN_ISSUES
| Iteration | Issues Found | Issues Fixed |
|---|---|---|
| 1 | [list] | [list] |
| 2 | [list] | [list] |
Remaining Known Issues (if any):
- [Issue that was deliberately deferred, with justification]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 84 lines · 38 tokens per session scan A ef9d82ed0204
vibe-quality-loop is a skill published in the GitHub repository ash1794/vibe-engineering (10 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 617 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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