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/postindustria-tech/agentic-toolkit/skill-qa-auditnpx skills add postindustria-tech/agentic-toolkit --skill skill-qa-auditgit clone --depth 1 https://github.com/postindustria-tech/agentic-toolkitWrote 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/postindustria-tech/agentic-toolkit/skill-qa-audit)<a href="https://agentmods.dev/skills/postindustria-tech/agentic-toolkit/skill-qa-audit"><img src="https://agentmods.dev/badge/skills/postindustria-tech/agentic-toolkit/skill-qa-audit.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00075 | $0.02323 |
| Opus 5 | $0.00037 | $0.01162 |
| Sonnet 5 | $0.00015 | $0.00465 |
| Haiku 4.5 | $0.00007 | $0.00232 |
Grade A, and why
skill-qa-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 4d 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 — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill QA Auditor
Systematically verify plugin skill files against official documentation to ensure 100% correctness.
Audit Workflow
Follow these steps sequentially to complete a comprehensive audit:
1. Read and Parse the Skill File
- Locate and read the skill file (typically
SKILL.mdorskill.md) - Extract all verifiable items:
- Import statements
- Code examples (with line numbers)
- API calls and method signatures
- Configuration patterns
- Best practice recommendations
- Documentation links
- Claims about functionality or behavior
- Identify the technology/framework and version
2. Research Official Documentation
For EACH code example, import, and API call:
- WebSearch:
"[tech] [API] documentation site:[official-domain] 2025 OR 2026"- Focus on recent documentation (2025/2026)
- Target official domains only
- WebFetch: Retrieve and analyze official documentation
- Verify exact API signatures, parameters, and usage
- Document findings with verification status and source URL
Research Priority: Official docs → GitHub examples/tests → Official blog → Package registries
3. Systematic Verification
Verify each category of content:
Code Examples
For every code block, verify:
- ✅ Completeness: All required imports present
- ✅ Syntax: No syntax errors
- ✅ Executability: Code would run without errors
- ✅ Correctness: APIs called with correct parameters
- ✅ Currency: No deprecated APIs used
- ✅ Type hints: Accurate if present
- ✅ Error handling: Appropriate for the use case
Document: ✅ VERIFIED or ❌ ISSUE FOUND
Import Statements
For every import, verify:
- Package name is correct
- Import path is current (not deprecated)
- Import exists in the package
- Installation notes if needed
Create verification table with source documentation.
API Calls
For every API call/method/function, verify:
- Find official API documentation
- Compare signatures (skill vs official)
- Verify parameters are correct
- Check for missing required parameters
- Note optional parameters that should be mentioned
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.
- 4d ago First seen · 350 lines · 75 tokens per session scan A 486142cba7e9
skill-qa-audit is a skill published in the GitHub repository postindustria-tech/agentic-toolkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 2,323 once invoked, about $0.0004 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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