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 yogsoth-ai/de-anthropocentric-research-engine --skill audit-reporting-qualitygit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote 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/yogsoth-ai/de-anthropocentric-research-engine/audit-reporting-quality)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/audit-reporting-quality"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/audit-reporting-quality/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/yogsoth-ai/de-anthropocentric-research-engine/audit-reporting-quality"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/audit-reporting-quality.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00028 | $0.00318 |
| Opus 5.5 | $0.00011 | $0.00127 |
| Sonnet 5.5 | $0.00006 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
audit-reporting-quality 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 1mo 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.
What it actually says
audit-reporting-quality
Purpose
Audit whether an artifact reports the information needed for interpretation and reproduction using a declared domain-appropriate checklist.
Input contract
required: [artifact, reporting_checklist]
optional: [domain_schema, reproduction_requirements, source_context]
constraints: [each checklist judgment must cite present, absent, or ambiguous evidence]
Procedure
- Instantiate the checklist for the artifact type and domain.
- Inspect each item and record evidence, omission, or ambiguity.
- Separate interpretation-critical omissions from cosmetic omissions.
- Summarize reporting completeness and reproduction implications.
Output contract
produces: [checklist_results, critical_omissions, ambiguity_log, reporting_quality_summary]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Quality gates
- Checklist version and applicability are recorded.
- Missing information is not silently inferred.
Failure and counterexamples
Do not equate a long report with complete reporting or treat an inapplicable checklist item as a failure.
Provenance map
resolved: knowledge-acquisition-documentation-auditresolved: knowledge-acquisition-reproducibility-checklist-auditintermediate: Pass3/audit-benchmark-documentationintermediate: Pass3/audit-reproducibility-reporting
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.
- 1mo ago First seen · 50 lines · 28 tokens per session scan A b899907143f2
audit-reporting-quality is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (505 stars, last pushed 4d ago), licensed Apache-2.0. It adds 28 tokens to every session and 318 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-24.
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