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Cleanup — measured AI agent skill | DecimalAI

ledgerhq/cleanup

NewSkillScoreMaintained

Run lint, format, and typecheck on modified files

Code Reviewby ledgerhq

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

On-demandOn-demand: invoked explicitly — never occupies your agent's context until called.

Coding pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/ledgerhq-cleanup/SKILL.md

decimalai skills pull ledgerhq-cleanup --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/ledgerhq-cleanup/SKILL.md https://app.decimal.ai/s/ledgerhq-cleanup/SKILL.md

Raw file: /s/ledgerhq-cleanup/SKILL.md ↗ · machine-readable summary at /s/ledgerhq-cleanup.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 6h ago

—-50% tokens0% turns77% of whole cases pass with skill (17/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-03	✗→✓	▲ Improved	68%	0%
case-07	✗→✓	▲ Improved	-38%	0%
case-08	✗→✓	▲ Improved	-37%	0%
case-09	✗→✓	▲ Improved	-54%	0%
case-12	✗→✓	▲ Improved	-45%	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 — 8/3/2026

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

ledgerhq / ledger-live

.agents/skills/cleanup/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

Cleanup

Run lint, format, and typecheck on modified files.

Process

Identify apps: git diff --name-only develop..HEAD

apps/ledger-live-desktop/ → desktop
apps/ledger-live-mobile/ → mobile
libs/ → both

Run commands (from repo root):

bash pnpm <app> lint --quiet --fix pnpm <app> prettier pnpm <app> typecheck

Commit fixes (if any):

bash git add -A && git commit -m "chore: fix lint and format issues"

Summary Template

markdown
## Cleanup Summary

- **Lint**: ✅ / ⚠️ Fixed (X files)
- **Format**: ✅ / ⚠️ Fixed (X files)
- **TypeScript**: ✅ / ❌ X errors

Want to see if ledgerhq/cleanup 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.