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A5c AI/Quality Hooks — measured AI agent skill | DecimalAI

a5c-ai/quality-hooks

SkillScore64Maintained

Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.

by a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

QA & Test Engineering pack

decimalai skills pull a5c-ai-quality-hooks

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-quality-hooks/SKILL.md

Raw file: /s/a5c-ai-quality-hooks/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-quality-hooks.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 9d ago

Yes — +64% lift-39% tokens0% turns64% of whole cases pass with skill (14/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	10%	0%
case-02	✗→✓	▲ Improved	-28%	0%
case-03	✗→✓	▲ Improved	-24%	0%
case-05	✗→✓	▲ Improved	-17%	0%
case-06	✗→✓	▲ Improved	-32%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

a5c-ai / babysitter

library/methodologies/pilot-shell/skills/quality-hooks/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Auto-Fix Convergence Loop

When quality checks fail:

Apply all auto-fixable issues
Re-run quality checks
Repeat up to 3 times
Report remaining unfixable issues

Quality Scoring

Composite score = weighted average:

Lint: 25%
Format: 15%
Typecheck: 25%
Tests: 35%

Target: 85/100 (configurable via targetQuality)

Hook Integration Points

| Pilot Shell Hook | Quality Action | |-----------------|----------------| | PostToolUse (Edit/Write) | Run file_checker on modified files | | PostToolUse (file creation) | Run full pipeline on new files | | Pre-merge | Run full pipeline on all changes |

Want to see if a5c-ai/quality-hooks would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.