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 democra-ai/skill-to-workflow --skill input-skillgit clone --depth 1 https://github.com/democra-ai/skill-to-workflowWrote 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/democra-ai/skill-to-workflow/input-skill)<a href="https://agentmods.dev/skills/democra-ai/skill-to-workflow/input-skill"><img src="https://agentmods.dev/badge/skills/democra-ai/skill-to-workflow/input-skill.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 5.1 | $0.00056 | $0.00554 |
| Opus 5 | $0.00028 | $0.00277 |
| Sonnet 5 | $0.00011 | $0.00111 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
doc-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 7d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Doc Audit
Overview
This skill audits a documentation folder and produces a single prioritized report of quality problems. It checks four independent dimensions, confirms each finding is real, and groups the results by severity.
When to use
Use when the user asks to audit documentation, check docs quality, or do a pre-release docs pass on a folder of Markdown/MDX files.
Procedure
Step 1 — Inventory
List every documentation file under the target folder (default: ./docs).
Record the relative path and size of each .md / .mdx file. If there are no
docs, stop and report that.
Step 2 — Audit the four dimensions
For the inventory, check these four dimensions. They are independent — none of them depends on the result of another:
- Broken links — find internal links that point to missing files/anchors and external links that look dead or malformed.
- Stale code examples — find fenced code blocks that reference APIs, flags, or file paths that no longer exist in the project.
- Missing sections — compare each page against the expected shape for its type (a how-to needs prerequisites + steps; a reference needs a parameter table) and list missing sections.
- Readability — flag pages with overlong paragraphs, undefined jargon, or a reading level inappropriate for the audience.
For each dimension, produce a list of findings. Each finding has: file, a short title, a severity (blocker / major / minor), and a suggested fix.
Step 3 — Verify each finding
Documentation audits produce false positives (a "broken" link that is actually valid, a "stale" example that still works). Before reporting, confirm each finding is real by re-checking it against the actual files. Drop findings that do not hold up.
Step 4 — Prioritize and report
Merge the confirmed findings from all four dimensions, de-duplicate any that
overlap, sort by severity (blockers first), and write a single
DOC-AUDIT.md report grouped by dimension with a summary count at the top.
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.
- 7d ago First seen · 62 lines · 56 tokens per session scan A 76b2e8989338
doc-audit is a skill published in the GitHub repository democra-ai/skill-to-workflow (5 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 554 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 2026-08-31.
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