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/duysolo/codebaxing/claude-mdgit clone --depth 1 https://github.com/duysolo/codebaxingWhat 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 | $0.01822 | $0.01822 |
| Opus 5 | $0.00911 | $0.00911 |
| Sonnet 5 | $0.00364 | $0.00364 |
| Haiku 4.5 | $0.00182 | $0.00182 |
Grade A, and why
codebaxing CLAUDE.md scanned grade A 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 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **Parallel Embedding**: `child_process` pool (default 2 workers, local) or concurrent API calls (cloud) How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebaxing (Node.js/TypeScript)
MCP server for semantic code search using vector embeddings.
How It Works
Source Code → Tree-sitter (AST) → Symbols → Embedding Model → Vectors → ChromaDB
↓
Query → Embedding Model → Query Vector → Cosine Similarity → Top-k Results
- Tree-sitter parses code into AST, extracts functions/classes/methods
- all-MiniLM-L6-v2 converts code chunks to 384-dim vectors (runs locally via ONNX)
- ChromaDB stores vectors for fast similarity search
- Search embeds query and finds nearest neighbors by cosine similarity
Project Structure
src/
├── core/
│ ├── models.ts # Symbol, ParsedFile, CodebaseIndex, Memory, MemoryType
│ ├── interfaces.ts # IParser interface
│ └── exceptions.ts # Error hierarchy
├── parsers/
│ ├── treesitter-parser.ts # Multi-language AST parsing
│ └── language-configs.ts # Tree-sitter node mappings (24+ languages)
├── indexing/
│ ├── embedding-service.ts # @huggingface/transformers wrapper
│ ├── embedding-pool.ts # Worker pool for parallel embedding
│ ├── embedding-worker.ts # Worker thread entry point
│ ├── parallel-indexer.ts # File parsing
│ ├── source-retriever.ts # Code indexing + semantic search
│ └── memory-retriever.ts # Memory storage + semantic recall
└── mcp/
├── state.ts # Global singleton (SourceRetriever + MemoryRetriever)
└── server.ts # MCP server (8 tools)
MCP Tools (8 total)
Code Search
| Tool | Purpose |
|---|---|
index |
Index codebase. Modes: auto (incremental), full, load-only. Required first. |
search |
Semantic search. Returns ranked code chunks with filters (language, symbol_type) |
stats |
Index statistics (files, symbols, chunks) |
languages |
Supported language extensions |
Memory Layer
| Tool | Purpose |
|---|---|
remember |
Store memories (conversation, status, decision, preference, doc, note) |
recall |
Semantic search over memories |
forget |
Delete memories by ID, type, tags, or age. Destructive. |
memory-stats |
Memory statistics by type |
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 · 152 lines · 1,822 tokens per session scan A 0854c3b54ea6
codebaxing CLAUDE.md is an instructions file published in the GitHub repository duysolo/codebaxing (53 stars, last pushed 5mo ago), licensed MIT. It adds 1,822 tokens to every session, about $0.0091 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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.
buildNext
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
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, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
Instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
langchain 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.