Borrowing it
Nothing to install: this file belongs to vlad-ryzhkov/ai-context-engineering-for-qa. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vlad-ryzhkov/ai-context-engineering-for-qa/main/.claude/skills/fix-markdown/SKILL.mdgit clone --depth 1 https://github.com/vlad-ryzhkov/ai-context-engineering-for-qaWrote 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/vlad-ryzhkov/ai-context-engineering-for-qa/fix-markdown)<a href="https://agentmods.dev/skills/vlad-ryzhkov/ai-context-engineering-for-qa/fix-markdown"><img src="https://agentmods.dev/badge/skills/vlad-ryzhkov/ai-context-engineering-for-qa/fix-markdown/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/vlad-ryzhkov/ai-context-engineering-for-qa/fix-markdown"><img src="https://agentmods.dev/badge/skills/vlad-ryzhkov/ai-context-engineering-for-qa/fix-markdown.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 | $0.00043 | $0.00269 |
| Opus 5 | $0.00022 | $0.00134 |
| Sonnet 5 | $0.00009 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
fix-markdown 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 today.
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
Fix Markdown Lint Skill
Fix all markdownlint errors in .md files across the repository.
Rules
- Only fix formatting issues
- Do not change content meaning
- Do not add tables or restructure sections
- Do not rewrite or rephrase text
Steps
-
Auto-fix what's possible:
npx markdownlint-cli --fix "**/*.md" --ignore node_modules --ignore ".gradle" --ignore build --ignore audit -
Re-run to find remaining issues:
npx markdownlint-cli "**/*.md" --ignore node_modules --ignore ".gradle" --ignore build --ignore audit -
Fix remaining errors manually using Edit tool (line length, heading levels, inline HTML)
-
Verify: re-run step 2, expect zero errors
Gardener: If you noticed rule drift or improvements during this run, briefly note it here.
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.
- today Changed · +13 lines · +26 tokens per session 551c51e7f818
- 9d ago First seen · 24 lines · 17 tokens per session scan A d907013beb0f
fix-markdown is a skill published in the GitHub repository vlad-ryzhkov/ai-context-engineering-for-qa (6 stars, last pushed today), licensed Unlicense. It adds 43 tokens to every session and 269 once invoked, about $0.0002 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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