Borrowing it
Nothing to install: this file belongs to alonw0/llm-docs-optimizer. 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/alonw0/llm-docs-optimizer/main/CLAUDE.mdgit clone --depth 1 https://github.com/alonw0/llm-docs-optimizerWrote 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/instructions/alonw0/llm-docs-optimizer/claude-md)<a href="https://agentmods.dev/instructions/alonw0/llm-docs-optimizer/claude-md"><img src="https://agentmods.dev/badge/instructions/alonw0/llm-docs-optimizer/claude-md/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/instructions/alonw0/llm-docs-optimizer/claude-md"><img src="https://agentmods.dev/badge/instructions/alonw0/llm-docs-optimizer/claude-md.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 | $0.01380 | $0.01380 |
| Opus 5.5 | $0.00552 | $0.00552 |
| Sonnet 5.5 | $0.00276 | $0.00276 |
| Haiku 4.5 | $0.00138 | $0.00138 |
Grade A, and why
llm-docs-optimizer CLAUDE.md 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 2mo 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
llm-docs-optimizer is a Claude Code plugin that optimizes documentation for AI coding assistants (Claude, GitHub Copilot, etc.). It provides two core capabilities:
- C7Score Optimization: Transforms documentation to score highly on Context7's benchmark - the leading quality metric for AI-assisted coding documentation
- llms.txt Generation: Creates standardized navigation files (llmstxt.org format) that help LLMs quickly understand and navigate project documentation
Architecture
This is NOT a Traditional Codebase
This is a Claude Code skill/plugin where the "code" is markdown. There are no build tools, test frameworks, or compilation steps for the main plugin.
skills/llm-docs-optimizer/
├── SKILL.md (21,827 lines) # Main skill logic - the "code"
├── references/ # Knowledge base
│ ├── c7score_metrics.md # Scoring rubrics for 5 metrics
│ ├── optimization_patterns.md # 20+ transformation examples
│ └── llmstxt_format.md # llms.txt specification
├── examples/ # Before/after samples
└── scripts/
└── analyze_docs.py # Optional Python analysis tool
Component Interaction
- SKILL.md: Contains structured workflows for both optimization and generation. This is where all logic lives.
- Reference Materials: Knowledge base that SKILL.md references during execution
- Python Script: Optional standalone tool for automated documentation scanning
- c7score/: Separate TypeScript reference implementation (Upstash's package) - not directly used by the skill
Key Architectural Pattern: Structured Workflows
C7Score Optimization (6 Steps):
- Analyze current documentation
- Generate 15-20 developer questions
- Map questions to existing snippets
- Optimize based on priority (80% weight on question-answering)
- Validate optimizations
- Evaluate c7score impact with before/after scoring
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.
- 2mo ago First seen · 153 lines · 1,380 tokens per session scan A a0b7cdbba354
llm-docs-optimizer CLAUDE.md is an instructions file published in the GitHub repository alonw0/llm-docs-optimizer (63 stars, last pushed 11mo ago), licensed MIT. It adds 1,380 tokens to every session, about $0.0055 per session on Opus 5.5. 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 2026-08-30.
llm-docs-optimizer CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| llm-docs-optimizer CLAUDE.mdalonw0/llm-docs-optimizer | Instructions file | 63 | 11mo ago | MIT | A | 1,380 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |