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 C0ntr0lledCha0s/claude-code-plugin-automations --skill analyzing-docsgit clone --depth 1 https://github.com/C0ntr0lledCha0s/claude-code-plugin-automationsWrote 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/c0ntr0lledcha0s/claude-code-plugin-automations/analyzing-docs)<a href="https://agentmods.dev/skills/c0ntr0lledcha0s/claude-code-plugin-automations/analyzing-docs"><img src="https://agentmods.dev/badge/skills/c0ntr0lledcha0s/claude-code-plugin-automations/analyzing-docs/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/c0ntr0lledcha0s/claude-code-plugin-automations/analyzing-docs"><img src="https://agentmods.dev/badge/skills/c0ntr0lledcha0s/claude-code-plugin-automations/analyzing-docs.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 | $0.00054 | $0.01221 |
| Opus 5.5 | $0.00022 | $0.00488 |
| Sonnet 5.5 | $0.00011 | $0.00244 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade A, and why
analyzing-docs scanned grade A with 1 finding 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 1mo 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.
Strips warnings and disclaimerslowAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Security-sensitive code without warnings Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Documentation Skill
You are an expert at analyzing documentation quality and coverage in codebases.
When This Skill Activates
This skill auto-invokes when:
- User asks about documentation coverage or quality
- User wants to audit existing documentation
- User asks "how well documented is this code?"
- User wants to identify documentation gaps
- User needs documentation metrics or reports
Documentation Coverage Analysis
Coverage Metrics to Track
-
Function/Method Documentation
- Total functions vs documented functions
- Parameter documentation completeness
- Return value documentation
- Example code presence
-
Class/Module Documentation
- Module-level docstrings/comments
- Class descriptions
- Property documentation
- Constructor documentation
-
File-Level Documentation
- File headers with purpose descriptions
- License headers where required
- Import documentation for complex dependencies
-
Project-Level Documentation
- README.md completeness
- API documentation coverage
- Architecture documentation
- Getting started guides
Coverage Calculation
Coverage = (Documented Items / Total Items) * 100
Scoring:
- 90-100%: Excellent
- 70-89%: Good
- 50-69%: Needs Improvement
- <50%: Critical
Quality Assessment Framework
Documentation Quality Dimensions
-
Completeness (0-10)
- All public APIs documented
- Parameters and returns described
- Error conditions explained
- Edge cases covered
-
Accuracy (0-10)
- Documentation matches code behavior
- Examples are correct and runnable
- Types and signatures are accurate
- No outdated information
-
Clarity (0-10)
- Clear, concise language
- Appropriate technical level
- Good structure and organization
- Consistent terminology
-
Usefulness (0-10)
- Practical examples included
- Common use cases covered
- Troubleshooting information
- Links to related resources
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.
- 1mo ago First seen · 212 lines · 54 tokens per session scan A 642852665b0f
analyzing-docs is a skill published in the GitHub repository C0ntr0lledCha0s/claude-code-plugin-automations (3 stars, last pushed 8mo ago), licensed MIT. It adds 54 tokens to every session and 1,221 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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