Borrowing it
Nothing to install: this file belongs to oanhduong/token-ninja. 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/oanhduong/token-ninja/main/CLAUDE.mdgit clone --depth 1 https://github.com/oanhduong/token-ninjaWrote 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/oanhduong/token-ninja/claude-md)<a href="https://agentmods.dev/instructions/oanhduong/token-ninja/claude-md"><img src="https://agentmods.dev/badge/instructions/oanhduong/token-ninja/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/oanhduong/token-ninja/claude-md"><img src="https://agentmods.dev/badge/instructions/oanhduong/token-ninja/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 | $0.01736 | $0.01736 |
| Opus 5 | $0.00868 | $0.00868 |
| Sonnet 5 | $0.00347 | $0.00347 |
| Haiku 4.5 | $0.00174 | $0.00174 |
Grade C, and why
token-ninja CLAUDE.md scanned grade C with 2 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
denylist.ts # DENY_PATTERNS regex list (rm -rf, sudo, curl|sh, etc.) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
denylist.ts # DENY_PATTERNS regex list (rm -rf, sudo, curl|sh, etc.) How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Notes for Claude Code (and other AI coding assistants) working inside this repository.
What this project is
token-ninja is a CLI + MCP server that intercepts commands meant for an AI
coding assistant and runs the deterministic ones locally — zero LLM calls.
Anything it doesn't confidently recognize falls back to the user's AI tool
(Claude, Codex, Cursor, Aider, Gemini, Continue).
- 765 built-in rules across 46 tool domains
- Classifier hot path: ~19 µs/call; safety validator: ~10 µs/call (warm JIT)
- 312 tests across 21 test files; 90.67% lines / 84.61% branches /
95.45% functions (v8 coverage over
src/router/**,src/safety/**,src/rules/**; thresholds enforced at 88 / 82 / 88 / 95)
Source layout
src/
cli.ts # commander entry; subcommands: mcp, route, setup, uninstall, init, stats, doctor, shim, rules
doctor/
index.ts # `ninja doctor` health check (config, rules, shim, MCP, hook, stats)
router/
index.ts # runRouter(): safety → classify → safety (again) → exec-or-fallback
route-once.ts # one-shot classify+exec used by the Claude Code UserPromptSubmit hook (no AI fallback)
classifier.ts # exact → prefix → regex → nl matching; template expansion
executor.ts # execa wrapper (shell:true, captures + streams)
fallback.ts # hand off to user's AI tool
rules/
loader.ts # loads builtin/*.yaml + ~/.config/token-ninja/rules/*.yaml
types.ts # Rule / MatchSpec / ActionSpec
builtin/*.yaml # 765 rules, grouped by domain (46 files)
safety/
denylist.ts # DENY_PATTERNS regex list (rm -rf, sudo, curl|sh, etc.)
validator.ts # pipeline split + NFKC + homoglyph strip, then match
adapters/ # per-AI-tool metadata + shim generator (claude-code, codex, cursor, aider, gemini, continue, generic)
setup/
index.ts # orchestrates `ninja setup`: shell shim + MCP register + hook install
shell-install.ts # writes managed block into ~/.bashrc / ~/.zshrc
mcp-install.ts # registers ninja mcp with Claude Code, Cursor, Claude Desktop, Gemini CLI
hook-install.ts # installs Claude Code UserPromptSubmit hook
mcp/server.ts # stdio MCP server exposing tool: maybe_execute_locally
telemetry/stats.ts # hit/miss counters, tokens-saved estimate
config/user-config.ts # ~/.config/token-ninja/config.yaml
utils/
shell-parse.ts # splitPipelineSegments, tokenize, normalizeNl
repo-detect.ts # detect markers (package.json, Cargo.toml, …) and PMs
logger.ts # ANSI-colored stderr
hooks/
claude-code-user-prompt.cjs # shipped hook: reads a prompt, calls `ninja route`, short-circuits the model on hit
tests/ # 20 test files, 268 tests, vitest + v8 coverage
fixtures/real-commands.txt # ≥85% of these must classify (rules-coverage.test.ts)
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 · 139 lines · 1,736 tokens per session scan C 32def498a562
token-ninja CLAUDE.md is an instructions file published in the GitHub repository oanhduong/token-ninja (38 stars, last pushed 4mo ago), licensed MIT. It adds 1,736 tokens to every session, about $0.0087 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
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.