Borrowing it
Nothing to install: this file belongs to ymstar/agentmeter. 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/ymstar/agentmeter/master/CLAUDE.mdgit clone --depth 1 https://github.com/ymstar/agentmeterWrote 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/ymstar/agentmeter/claude-md)<a href="https://agentmods.dev/instructions/ymstar/agentmeter/claude-md"><img src="https://agentmods.dev/badge/instructions/ymstar/agentmeter/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/ymstar/agentmeter/claude-md"><img src="https://agentmods.dev/badge/instructions/ymstar/agentmeter/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 | $0.01296 | $0.01296 |
| Opus 5.5 | $0.00518 | $0.00518 |
| Sonnet 5.5 | $0.00259 | $0.00259 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade B, and why
agentmeter CLAUDE.md scanned grade B 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 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
1. `init` command writes a `PostToolUse` hook into `~/.claude/settings.json` that runs `npx -y @ymstar/agentmeter hook` How it starts
The opening of the file, as written. The whole thing — 106 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.
What is AgentMeter?
AgentMeter (@ymstar/agentmeter) is a CLI that tracks token consumption for AI agents (Claude Code, Cursor, Gemini CLI). It hooks into Claude Code's PostToolUse event to capture every tool call, records token usage and estimated costs into a local SQLite database, and provides terminal stats, a web dashboard, CSV/JSON export, and budget alerts.
Commands
npm run build # Compile TypeScript to dist/ + copy dashboard static assets
npm run test # Run all tests (vitest run)
npm run dev # Watch mode compilation (tsc --watch)
npx tsc --noEmit # Type-check only (used in CI lint job)
There is no linter or formatter configured. CI type-checks with npx tsc --noEmit on Node 20 and 22.
Architecture
ES modules ("type": "module" in package.json). Target ES2022 with Node16 module resolution.
Data Flow
initcommand writes aPostToolUsehook into~/.claude/settings.jsonthat runsnpx -y @ymstar/agentmeter hook- Claude Code fires the hook after every tool use, passing tool name, input, response, session_id, model, agent_type, cwd via stdin JSON
hookcommand parses stdin, detects model/agent type via fallback chains, estimates tokens (three-layer: parse MCP usage fields → estimate from text at 4 chars/token ASCII, 2 chars/token CJK → character count), calculates cost, inserts into SQLite- SQLite lives at
~/.agentmeter/meter.db
Key Modules
src/index.ts— CLI entry point usingnode:utilparseArgs. Routes to:init,hook,stats,dashboard,budget,exportsrc/commands/hook.ts— Core data collection. ContainsdetectModel()(input → env vars → settings file → default Sonnet) anddetectAgentType()(input → env vars → UUID pattern →~/.claudeexistence)src/db/client.ts—MeterDBclass wrappingbetter-sqlite3. Singletool_callstable with migration support (adds columns viaALTER TABLEbased onPRAGMA table_info). WAL mode enabledsrc/token/pricing.ts— HardcodedMODEL_PRICINGtable for Claude, GPT, and Gemini models. Unknown models default to Claude Sonnet pricingsrc/dashboard/server.ts— Rawnode:httpserver (no framework). REST API at/api/overview,/api/daily,/api/tools,/api/sessions,/api/models,/api/agents,/api/calls. Default port 3940
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 · 106 lines · 1,296 tokens per session scan B 89619d9f2f63
agentmeter CLAUDE.md is an instructions file published in the GitHub repository ymstar/agentmeter (1 stars, last pushed 5mo ago), licensed MIT. It adds 1,296 tokens to every session, about $0.0052 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.