Borrowing it
Nothing to install: this file belongs to Metabuilder-Labs/tokenjam. 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/Metabuilder-Labs/tokenjam/main/CLAUDE.mdgit clone --depth 1 https://github.com/Metabuilder-Labs/tokenjamWrote 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/metabuilder-labs/tokenjam/claude-md)<a href="https://agentmods.dev/instructions/metabuilder-labs/tokenjam/claude-md"><img src="https://agentmods.dev/badge/instructions/metabuilder-labs/tokenjam/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/metabuilder-labs/tokenjam/claude-md"><img src="https://agentmods.dev/badge/instructions/metabuilder-labs/tokenjam/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 | $0.07850 | $0.07850 |
| Opus 5.5 | $0.03140 | $0.03140 |
| Sonnet 5.5 | $0.01570 | $0.01570 |
| Haiku 4.5 | $0.00785 | $0.00785 |
Grade B, and why
tokenjam 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.
43. **Installed is not resident, and neither gate is visible from the filesystem.** A plugin's skills reach the model only when its key is true in `enabledPlugins` (`~/.claude/settings.json`) AND its install scope in `pl How it starts
The opening of the file, as written. The whole thing — 214 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.
This file is deliberately small. Only what governs every file lives here. Everything else —
architecture detail and path-scoped Critical Rules alike — lives in .claude/rules/*.md, each of
which loads only when you touch a file its paths: frontmatter matches. The single index is at the
bottom of this file — if you are looking for a rule by number, or for an area's architecture notes,
go there first.
Project Overview
tj (TokenJam) is a local-first, OTel-native cost-optimization layer for AI agents (with a full observability stack underneath). No cloud backend, no signup. It captures telemetry from agent runtimes, stores it in a local DuckDB database, and runs the optimize analyzers (the live list is ANALYZER_REGISTRY / ANALYZER_ORDER in tokenjam/core/optimize/runner.py — derive it from there rather than trusting a hand-maintained enumeration) that surface cost-saving candidates from real usage — plus a CLI, local REST API, web UI, and MCP server for querying. Install via pipx install tokenjam (recommended — sidesteps PEP 668 on Homebrew Python and Debian 12+/Ubuntu 24+) or pip install tokenjam in a venv. Run via tj <subcommand>. Requires Python >=3.10.
Build & Development
pip install -e ".[dev]" # dev install
ruff check tokenjam/ # line-length=100, target py310
mypy tokenjam/ # only attr-defined + no-any-return disabled (with justification); see [tool.mypy] in pyproject.toml
# Tests — CI runs all except e2e. Layers: unit = pure logic no I/O <1s; synthetic = span
# injection via factories, zero cost; agents = mock agent scenarios, full SDK path;
# integration = CLI + API. e2e needs TJ_ANTHROPIC_API_KEY and is auto-skipped otherwise.
pytest tests/unit/ tests/synthetic/ tests/agents/ tests/integration/
pytest tests/unit/test_config.py::test_function_name -v # one test
cd sdk-ts && npm install && npm test # TypeScript SDK (independent package)
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 · 214 lines · 7,850 tokens per session scan B 25f7af1239aa
tokenjam CLAUDE.md is an instructions file published in the GitHub repository Metabuilder-Labs/tokenjam (125 stars, last pushed 5d ago), licensed MIT. It adds 7,850 tokens to every session, about $0.0314 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 2026-08-30.
tokenjam CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tokenjam CLAUDE.mdMetabuilder-Labs/tokenjam | Instructions file | 125 | 5d ago | MIT | B | 7,850 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| 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 |