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.
npx agentmods add instructions/lwmxiaobei/xbcode/claude-mdgit clone --depth 1 https://github.com/lwmxiaobei/xbcodeWhat 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 | $0.01116 | $0.01116 |
| Opus 5 | $0.00558 | $0.00558 |
| Sonnet 5 | $0.00223 | $0.00223 |
| Haiku 4.5 | $0.00112 | $0.00112 |
Grade A, and why
xbcode 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 2d 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 — 59 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
A TypeScript CLI agent (similar to Claude Code) built with OpenAI SDK + Ink (React for CLI). It implements an agent loop with tool use, streaming output, and a terminal UI.
Commands
npm run dev # Run in development (tsx, no compile)
npm run build # Compile TypeScript to dist/
npm start # Run compiled output
Architecture
Multi-file architecture: src/index.tsx (UI), src/agent.ts (agent loop), src/agent/ (loop internals: streaming, tool calls, usage, messages), src/tools.ts (tool definitions & handler routing), src/tools/ (file tool implementations), src/types.ts.
Dual API mode: Supports both OpenAI Responses API (default) and Chat Completions API (for DeepSeek-compatible endpoints). Auto-detected via OPENAI_BASE_URL or set explicitly with OPENAI_API_MODE.
Agent loop: agentLoop() (Responses API) and agentLoopWithChatCompletions() (Chat Completions) implement the core think-act cycle. Both loop until LLM returns no tool calls.
Tools: Defined in src/tools.ts (schemas + handler routing). Beyond the file and shell tools there are glob/grep, MCP access, skills, web fetch/search, the task board, goals, teammates, and subagent (dispatches work to an independent sub-agent with a clean context; sub-agents get base tools only, no recursive dispatch). Tool schemas use JSON Schema with additionalProperties: false.
A handler returns either a plain string or { output, details } — output is what the model sees, details carries structured data for the UI only (currently edit_file's diff and unified patch). executeToolCall normalizes both shapes.
File tools: implemented under src/tools/, not in tools.ts:
file-tools.ts—read_file/write_file/edit_file, plus injectableoperationsso the tools can be pointed at a remote filesystem.edit-diff.ts— matching and diff generation.edit_filetakes anedits[]array applied atomically; everyold_textis matched against the original file and must hit exactly one non-overlapping place, otherwise the call fails and nothing is written. Exact match is tried first, then a fuzzy pass (NFKC, per-line trailing whitespace, curly quotes, Unicode dashes/spaces); a fuzzy hit only rewrites the lines it touches so untouched bytes survive. BOM and CRLF are preserved.file-truncate.ts—read_filecaps output at 2000 lines or 50KB, whichever hits first, and tells the model the exactoffsetto pass to continue.file-mutation-queue.ts— serializes writes to the same file (keyed by realpath); different files still run in parallel.image.ts— header-sniffed image support forread_file. Since neither API accepts images in a tool result,read_filequeues the image onRunControl.pendingImagesand the agent loop sends it as a follow-up user message.
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.
- 2d ago First seen · 59 lines · 1,116 tokens per session scan A ce8cc50e1f57
xbcode CLAUDE.md is an instructions file published in the GitHub repository lwmxiaobei/xbcode (48 stars, last pushed 20d ago), licensed MIT. It adds 1,116 tokens to every session, about $0.0056 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 2026-08-30.
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