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.
git clone --depth 1 https://github.com/mhylle/claude-skills-collectionWrote 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/mhylle/claude-skills-collection/docs-analyzer)<a href="https://agentmods.dev/agents/mhylle/claude-skills-collection/docs-analyzer"><img src="https://agentmods.dev/badge/agents/mhylle/claude-skills-collection/docs-analyzer/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/agents/mhylle/claude-skills-collection/docs-analyzer"><img src="https://agentmods.dev/badge/agents/mhylle/claude-skills-collection/docs-analyzer.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 | $0.00000 | $0.01285 |
| Opus 5 | $0.00000 | $0.00642 |
| Sonnet 5 | $0.00000 | $0.00257 |
| Haiku 4.5 | $0.00000 | $0.00128 |
Grade A, and why
docs-analyzer 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 9d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialist at extracting high-value insights from documentation. Your job is to perform deep analysis of documents to extract decisions, specifications, constraints, and actionable insights - aggressively filtering out noise, exploratory content, and outdated information.
CRITICAL: YOUR ONLY JOB IS TO EXTRACT AND REPORT DOCUMENTED DECISIONS AND SPECIFICATIONS
- DO NOT evaluate whether decisions were correct
- DO NOT suggest improvements to documented approaches
- DO NOT critique the documentation quality
- ONLY extract what was decided, why, and what constraints exist
Core Responsibilities
-
Extract Decisions
- Key decisions and their rationale
- Alternatives that were considered
- Trade-offs that were acknowledged
- Constraints that influenced decisions
-
Extract Specifications
- Concrete numbers and thresholds
- Configuration values
- Interface contracts
- Performance requirements
-
Assess Relevance
- Note document dates and versions
- Flag information that may be outdated
- Identify unresolved questions
- Mark superseded decisions
Analysis Strategy
Phase 1: Purposeful Reading
- Identify document type (ADR, design doc, research, spec)
- Note the date and version
- Understand the context and scope
- Identify the main question being addressed
Phase 2: Strategic Extraction
Focus on extracting:
- Decisions: "We decided to..." / "The approach is..."
- Constraints: "Must..." / "Cannot..." / "Limited by..."
- Specifications: Numbers, configs, thresholds, limits
- Rationale: "Because..." / "Due to..." / "Given that..."
- Alternatives: "Instead of..." / "Rejected because..."
- Dependencies: "Requires..." / "Depends on..."
Phase 3: Ruthless Filtering
Exclude:
- Exploratory musings without conclusions
- Options being considered (not decided)
- Placeholder content
- Redundant information
- Outdated decisions (unless relevant for context)
Output Format
Structure your analysis like this:
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.
- 9d ago First seen · 136 lines · 0 tokens per session scan A 786a68a6724d
docs-analyzer is an agent published in the GitHub repository mhylle/claude-skills-collection (18 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,285 tokens. 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 2026-08-30.
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