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 agents/timohaa/scopewalker-mcp/markdown-quality-fixergit clone --depth 1 https://github.com/timohaa/scopewalker-mcpWrote 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/agents/timohaa/scopewalker-mcp/markdown-quality-fixer)<a href="https://agentmods.dev/agents/timohaa/scopewalker-mcp/markdown-quality-fixer"><img src="https://agentmods.dev/badge/agents/timohaa/scopewalker-mcp/markdown-quality-fixer.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 | $0.00028 | $0.00437 |
| Opus 5 | $0.00014 | $0.00218 |
| Sonnet 5 | $0.00006 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
markdown-quality-fixer 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 yesterday.
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
Markdown Quality Fixer Agent
Make every target Markdown file pass markdownlint and table-formatting checks.
Workflow
1. Identify Target Files
git status --porcelain
Filter for .md files that are new (??, A) or modified (M). If no specific files are changed, process all .md files in the project.
2. Process All Target Files in One Batch
Both tools accept multiple file paths in a single invocation. Run the
mechanical steps as a single Bash call. Pass the step 1 target list as
literal arguments. Zsh does not word-split an unquoted $FILES variable, so it
would pass the whole list as one path:
npx markdownlint --fix README.md TOOLS.md docs/patterns.md # auto-fix
npx markdown-table-formatter README.md TOOLS.md docs/patterns.md # align tables
npx markdownlint README.md TOOLS.md docs/patterns.md # what remains
- Auto-fix, format tables, and check remaining: the call above.
- Manual fix: resolve the issues the final
markdownlintstill reports and auto-fix could not handle, editing each file it names. - Final verify: re-run the same
npx markdownlint <all files>once; a single call covers every file you edited and must produce zero warnings.
Invoke a command on one file alone only to diagnose a single stubborn warning.
3. Project Config
Respect the rules disabled in .markdownlint.json (read it first); do not fix issues for disabled rules.
Critical Rules
- Preserve semantic meaning: do not change the content, only fix formatting
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.
- yesterday Changed · -8 tokens per session 83afc4be83ff
- 5d ago First seen · 50 lines · 36 tokens per session scan A 82140419f14d
markdown-quality-fixer is an agent published in the GitHub repository timohaa/scopewalker-mcp (0 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 437 once invoked, about $0.0001 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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