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H Mmer/Quality — measured AI agent skill | DecimalAI

h-mmer/quality

NewSkillScoreMaintained

Score a report draft before submission. Usage: /quality <draft-path-or-finding-description>

by h-mmer

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

Automatic

Security & AppSec pack

decimalai skills pull h-mmer-quality

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/h-mmer-quality/SKILL.md

Raw file: /s/h-mmer-quality/SKILL.md ↗ · machine-readable summary at /s/h-mmer-quality.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 7d ago

—+30% tokens0% turns55% of whole cases pass with skill (12/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-10	✗→✓	▲ Improved	233%	0%
case-14	✓→✗	▼ Worse	-84%	0%
case-06	✓→✗	▼ Worse	-76%	0%
case-08	✓→✗	▼ Worse	-78%	0%
case-18	✓→✗	▼ Worse	-85%	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 — 8/1/2026

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

H-mmer / pentest-agents

providers/codex/.agents/skills/quality/SKILL.md

View on GitHub ↗

Imported 8/1/2026Version v1

Skill contents

SKILL.md

Quality-check a report draft: $ARGUMENTS

If a file path is given, read the draft file.
Launch quality-check agent with the draft content.
Show the score and any issues to fix.
If score < 7, recommend specific improvements.
If score >= 7, confirm the report is ready for submission.

Top-Tier Quality Bar

Block reports that are merely plausible.

Score against:

reproducibility: exact steps, accounts, URLs, headers, and stable artifacts
impact proof: real capability demonstrated without prohibited access
severity fit: CVSS/vector matches the proven final state, not the hoped-for chain
novelty: dupcheck considered and prior art handled
evidence hygiene: screenshots, recordings, PoC paths, and request/response pairs exist on disk
triage empathy: title, summary, and remediation let the program act fast

If any artifact is missing, say exactly what command or capture step fixes it. Do not let a fluent report compensate for weak proof.

Want to see if h-mmer/quality 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.