Borrowing it
Nothing to install: this file belongs to entity12208/CodeLLM. 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/entity12208/CodeLLM/master/CLAUDE.mdgit clone --depth 1 https://github.com/entity12208/CodeLLMWrote 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/entity12208/codellm/claude-md)<a href="https://agentmods.dev/instructions/entity12208/codellm/claude-md"><img src="https://agentmods.dev/badge/instructions/entity12208/codellm/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/entity12208/codellm/claude-md"><img src="https://agentmods.dev/badge/instructions/entity12208/codellm/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 | $0.00304 | $0.00304 |
| Opus 5.5 | $0.00122 | $0.00122 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
CodeLLM 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 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.
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.
What it actually says
CodeLLM
Advanced AI coding agent built from scratch in TypeScript.
Architecture
src/
agent/ # Core agent: Agent (orchestrator), AgentLoop (conversation loop)
providers/ # LLM providers: Anthropic, OpenAI (abstract Provider interface)
tools/ # Tool system: Tool interface, Registry, Executor, implementations
context/ # Context management: ContextManager, Compactor, SystemPrompt
permissions/ # Permission system: PermissionManager with rules
session/ # Session persistence and history
ui/ # Terminal UI: Terminal, Spinner, ToolRenderer
config/ # Configuration loading and types
utils/ # Shared utilities
Build & Run
npm install
npm run build # TypeScript compile
npm run dev # Run in dev mode (tsx)
npm start # Run compiled version
Key Design Decisions
- Multi-provider: Abstract Provider interface supports Anthropic and OpenAI-compatible APIs
- Pure Node.js: No React/Ink — clean readline + ANSI for terminal UI
- Event-driven agent loop: AsyncGenerator yields events, caller decides rendering
- Composable tools: Tools are plain objects implementing a clean interface
- Smart compaction: Uses the LLM itself to summarize older conversation turns
- Concurrent tool execution: Read-only tools run in parallel automatically
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 · 37 lines · 304 tokens per session scan A 3aef5b376c4a
CodeLLM CLAUDE.md is an instructions file published in the GitHub repository entity12208/CodeLLM (2 stars, last pushed 7mo ago), licensed MIT. It adds 304 tokens to every session, about $0.0012 per session on Opus 5.5. 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 2026-08-31.
CodeLLM CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| CodeLLM CLAUDE.mdentity12208/CodeLLM | Instructions file | 2 | 7mo ago | MIT | A | 304 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| 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 |