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/doc-lint/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/doc-lint)<a href="https://agentmods.dev/skills/vlad-ryzhkov/ai-context-engineering-for-qa/doc-lint"><img src="https://agentmods.dev/badge/skills/vlad-ryzhkov/ai-context-engineering-for-qa/doc-lint/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/doc-lint"><img src="https://agentmods.dev/badge/skills/vlad-ryzhkov/ai-context-engineering-for-qa/doc-lint.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 | $0.00047 | $0.02242 |
| Opus 5 | $0.00023 | $0.01121 |
| Sonnet 5 | $0.00009 | $0.00448 |
| Haiku 4.5 | $0.00005 | $0.00224 |
Grade A, and why
doc-lint 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.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/doc-lint — Documentation Quality Audit
Before Starting
Read .claude/qa_agent.md.
When to Use
- After adding a new document or skill
- When cross-file content duplication is suspected
- For periodic documentation audit (once per sprint)
- Before documentation refactoring
Input
| Parameter | Required | Description |
|---|---|---|
| Scope | Optional | Specific files/directories. Default — entire project |
| Focus | Optional | Specific phases only (size, structure, duplicates) |
Algorithm (7 Phases)
Verbosity Protocol (STRICT)
SILENT MODE ENFORCED:
- NO CHAT TABLES: Never output tables (Inventory, Findings, Stats) to chat. Only to the report file.
- NO LISTS: Do not list checked files in chat.
- ONLY STATUS: Output to chat only the final
SKILL COMPLETEblock and the report path.
Example of the only acceptable chat output:
📝 Audit Complete. 📊 Report:
audit/doc-lint-report_{YYYYMMDD_HHMMSS}.md📉 Health Score: 78/100 💡 Action: Runbash audit/safe-fix.shto apply safe fixes.
Phases 1-7: Detailed Algorithm
Full description of all phases (Discovery, Size Analysis, Structure Analysis, Cross-File Duplicate Detection, Consistency & Conciseness Analysis, Content Hygiene, Report Generation, Safe-Fix Script) — in references/phases.md.
Severity Model
| Severity | Criteria |
|---|---|
| CRITICAL | Actual limit exceeded (>700 generic, >500 SKILL); Broken links (file not found); Enumeration mismatch (CON-1); Aspirational-as-factual (CON-4) |
| WARNING | Approaching limit (90% of threshold); Duplicates >10 lines; Wall-of-text >30 lines; Synonym drift (CON-2); Scattered instructions (BRV-4); Overlapping checklists (BRV-5); Missing decision rules (BRV-9) |
| INFO | TODO markers; Minor duplicates (3-5 lines); Stale dates; Formatting issues; Single-row tables (BRV-1); Algorithm restated in checklist (BRV-6) |
What ships with it
4 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.
- yesterday Changed · +262 lines · +29 tokens per session 1aaed9fad324
- 10d ago First seen · 20 lines · 18 tokens per session scan A e0956b99cd40
doc-lint is a skill published in the GitHub repository vlad-ryzhkov/ai-context-engineering-for-qa (6 stars, last pushed yesterday), licensed Unlicense. It adds 47 tokens to every session and 2,242 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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