agentsitter CLAUDE.md

agentsitter CLAUDE.md is an instructions file for coding agents from serdaraytac/agentsitter. It costs 532 tokens per session, scanned A, original, MIT.

A set of instructions for analyzing configuration files that guide AI coding tools, such as CLAUDE.md or CODEX.md files. It describes checks for clarity, structure, missing information, duplication, and token use.

In plain words
What is it for?
Use it to review, score, and improve configuration files for coding agents, and to produce an optimized version with categorized issues.
Why use it?
It helps keep agent instructions clear, complete, and efficient, while finding vague or repeated rules that may lead to inconsistent results.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/serdaraytac/agentsitter/claude-md
Clone the repo
git clone --depth 1 https://github.com/serdaraytac/agentsitter

Wrote 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.

agentmods badge for agentsitter CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/serdaraytac/agentsitter/claude-md.svg)](https://agentmods.dev/instructions/serdaraytac/agentsitter/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/serdaraytac/agentsitter/claude-md"><img src="https://agentmods.dev/badge/instructions/serdaraytac/agentsitter/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 532 This file is loaded in full into every session.
When invoked 532 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00532 $0.00532
Opus 5 $0.00266 $0.00266
Sonnet 5 $0.00106 $0.00106
Haiku 4.5 $0.00053 $0.00053

Measured 5d ago against content hash b86598145f40, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentsitter 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 5d 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.

CLAUDE.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

md-analyzer

Purpose

Analyze, score, and optimize AI coding agent config files (CLAUDE.md, .cursorrules, .clinerules, CODEX.md, GEMINI.md, .windsurfrules, copilot-instructions.md). Works as an MCP tool.

Tech Stack

  • TypeScript + Node.js 22+
  • MCP SDK (@modelcontextprotocol/sdk)

Supported Platforms

Claude Code, Cursor, Cline, Codex, Gemini CLI, GitHub Copilot, Windsurf, Amp, Antigravity, OpenCode, Kimi Code CLI, Warp, Firebender

Analysis Criteria

  • Token cost estimation (file size → estimated tokens → per-session cost)
  • Vague rule detection ("write good content" style ambiguity)
  • Missing section check (variables, examples, do/don't rules)
  • Duplicate content detection
  • Attention placement (critical info at head/tail for LLM U-shaped attention)
  • Structure analysis (markdown heading usage, grouping)

Output Format

  • Overall score: 0-100
  • Category scores (clarity, structure, token efficiency, coverage)
  • Issues list (severity: critical/warning/info)
  • Optimized version suggestion

Rules

  • All code, comments, and documentation in English
  • Write unit tests for every tool
  • Test before creating files

Skill routing

When the user's request matches an available skill, invoke it via the Skill tool. When in doubt, invoke the skill.

Key routing rules:

  • Product ideas/brainstorming → invoke /office-hours
  • Strategy/scope → invoke /plan-ceo-review
  • Architecture → invoke /plan-eng-review
  • Design system/plan review → invoke /design-consultation or /plan-design-review
  • Full review pipeline → invoke /autoplan
  • Bugs/errors → invoke /investigate
  • QA/testing site behavior → invoke /qa or /qa-only
  • Code review/diff check → invoke /review
  • Visual polish → invoke /design-review
  • Ship/deploy/PR → invoke /ship or /land-and-deploy
  • Save progress → invoke /context-save
  • Resume context → invoke /context-restore

Commands

npm run build       # compile TypeScript → dist/
npm run build:web   # bundle browser script → web/scoring/bundle.js
npm test            # run all 230 unit tests (vitest)
npm run dev         # run MCP server in dev mode (tsx)

Read the full file on GitHub · 60 lines

Changes

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.

  1. 5d ago First seen · 60 lines · 532 tokens per session scan A b86598145f40

Subscribe to this mod's changes

agentsitter CLAUDE.md is an instructions file published in the GitHub repository serdaraytac/agentsitter (8 stars, last pushed 3mo ago), licensed MIT. It adds 532 tokens to every session, about $0.0027 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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