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 wahidyankf/ose-public --skill docs-fixing-factual-accuracygit clone --depth 1 https://github.com/wahidyankf/ose-publicWrote 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/wahidyankf/ose-public/docs-fixing-factual-accuracy)<a href="https://agentmods.dev/skills/wahidyankf/ose-public/docs-fixing-factual-accuracy"><img src="https://agentmods.dev/badge/skills/wahidyankf/ose-public/docs-fixing-factual-accuracy/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/wahidyankf/ose-public/docs-fixing-factual-accuracy"><img src="https://agentmods.dev/badge/skills/wahidyankf/ose-public/docs-fixing-factual-accuracy.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 | $0.00065 | $0.00456 |
| Opus 5.5 | $0.00026 | $0.00182 |
| Sonnet 5.5 | $0.00013 | $0.00091 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
docs-fixing-factual-accuracy 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 2d 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
Documentation: Fixing Factual Accuracy Findings
Methodology for re-validating docs-checker audit findings and applying only HIGH-confidence,
objective fixes — without independent web access, trusting the checker's documented verification.
Reference Modules
- Confidence Assessment and Mode Handling — the quick-summary workflow, domain-specific HIGH/MEDIUM/FALSE_POSITIVE examples.
- Trust Model and Re-Validation Guidelines — why this agent has no web tools, how it re-validates without one, and per-finding-type re-validation guidance (command syntax, versions, feature existence, code examples, contradictions, outdated info).
- Fix Patterns and Report Format — the six fix application patterns and the full fix-report markdown template.
- Tools, Best Practices, and Safeguards — tool usage, best practices, and convergence safeguards (changed-files capture, false-positive persistence, self-verification).
Core Principles
- Never trust checker findings blindly — always re-validate before applying.
- Objective errors only get HIGH confidence — everything else is MEDIUM (manual review) or FALSE_POSITIVE.
- Checker verifies, fixer applies — no independent web re-fetching; when in doubt, downgrade confidence rather than guess.
Related Skills
repo-applying-maker-checker-fixer— the generic maker-checker-fixer pattern, mode-parameter handling, and report discovery.repo-assessing-criticality-confidence— the generic criticality × confidence priority matrix.repo-generating-validation-reports— report file naming and UUID-chain conventions.
What ships with it
6 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.
- 2d ago First seen · 39 lines · 65 tokens per session scan A ba5035f8de79
docs-fixing-factual-accuracy is a skill published in the GitHub repository wahidyankf/ose-public (12 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 456 once invoked, about $0.0003 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 2026-10-14.
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