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 skills add markoblogo/abvx-agent-skills --skill skill-health-auditgit clone --depth 1 https://github.com/markoblogo/abvx-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/skill-health-audit)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/skill-health-audit"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/skill-health-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/skill-health-audit"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/skill-health-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00070 | $0.00703 |
| Opus 5 | $0.00035 | $0.00351 |
| Sonnet 5 | $0.00014 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00070 |
Grade A, and why
skill-health-audit 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Health Audit
Review a skill as a versioned procedural artifact. The audit produces evidence for a maintainer; it does not become an autonomous editing or publishing loop.
Audit Lenses
Check the target skill and its neighboring public surfaces for:
- trigger fit and false activation;
- required structure and metadata;
- intended use, out-of-scope boundaries, risks, and anti-patterns;
- composability and conflict with neighboring skills;
- model sensitivity and instruction-following burden;
- activation cases, positive fixtures, negative cases, and fixture/held-out evidence;
- prompt bloat, repeated rules, and context overhead;
- catalog/README drift, card drift, and generated-artifact drift;
- regression risk, unsafe authority expansion, and missing human gates;
- the highest evidence-supported evaluation tier.
Method
- Identify the target skill version, source paths, and evaluation scope.
- Read the trigger and output contract before reading supporting prose.
- Inspect the card, metadata, companion skills, fixtures, and catalog entry.
- Run only the available deterministic checks; label absent runtime evidence.
- Check one positive activation and one negative/anti-pattern case where fixtures exist.
- Rank findings by user harm, false confidence, drift, and maintenance cost.
- Recommend
structural_only,fixture_checked,rollout_checked, orheld_out_validatedonly when the captured evidence supports it.
Review Status
Return exactly one recommendation:
ACCEPT— contract and evidence are adequate for the stated tier;REVISE— concrete changes are needed before acceptance;INSUFFICIENT_EVIDENCE— the skill may be sound but the claimed tier is not proven;REJECT— the skill is unsafe, redundant, misleading, or not reusable.
Output
Skill: <name>
Version: <card/frontmatter version>
Recommended tier: <tier>
Status: ACCEPT | REVISE | INSUFFICIENT_EVIDENCE | REJECT
Trigger fit: <finding>
Structure/metadata: <finding>
Evidence: <fixtures, reports, or missing proof>
Drift: <catalog/README/card result>
Regression and authority risk: <finding>
Top findings: <ranked list>
Maintainer decision needed: <yes/no and scope>
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 80 lines · 70 tokens per session scan A 0ed839c81991
skill-health-audit is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 70 tokens to every session and 703 once invoked, about $0.0003 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 2026-09-03.
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