Borrowing it
Nothing to install: this file belongs to ezBuilder/code-brain. 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/ezBuilder/code-brain/main/CLAUDE.mdgit clone --depth 1 https://github.com/ezBuilder/code-brainWrote 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/ezbuilder/code-brain/claude-md)<a href="https://agentmods.dev/instructions/ezbuilder/code-brain/claude-md"><img src="https://agentmods.dev/badge/instructions/ezbuilder/code-brain/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/ezbuilder/code-brain/claude-md"><img src="https://agentmods.dev/badge/instructions/ezbuilder/code-brain/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 | $0.00904 | $0.00904 |
| Opus 5.5 | $0.00362 | $0.00362 |
| Sonnet 5.5 | $0.00181 | $0.00181 |
| Haiku 4.5 | $0.00090 | $0.00090 |
Grade A, and why
code-brain 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 1mo 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Brain Agent Contract
.ai/ owns repo-local agent context, memory, generated metadata, trust, and runtime tooling.
Response
- Match the user's language unless they request otherwise.
- Keep self-initiated progress/output under 10 words.
- Keep answers concise by default.
- When changes are broad, end with a brief key-point summary of outcome, verification, and remaining risk; do not narrate every edit.
- Expand beyond these defaults only for explicit detail, severe error/risk, or required question.
- No progress narration or next-step outro; continue until done, blocked, or approval is required.
Branches
- Work on
developby default. - Never commit or push
mainunless the user explicitly requests main. - Do not create branches unless asked.
- After a requested main merge, return to
develop.
Loop
- Understand the request.
- Inspect local rules and current git state.
- Locate code with Code Brain before broad shell search.
- Before editing existing files, read exact target slices with hashline.
- Preserve unrelated user changes.
- Make the smallest coherent change.
- Verify before claiming success.
- Record durable decisions/todos when useful.
Planning
- Plan first only when scope or impact is unclear.
- Single-file fixes and explicit user-scoped work can proceed directly.
- If new risk appears, stop only when approval or a decision is required.
Search Routing
- Exact symbols, paths, and fast live checks: targeted
rgor native file tools first. - Semantic discovery: MCP
code_queryfirst when its index is fresh and the target language is supported; usecontext_packonly when bounded richer context is needed. - If indexed retrieval is stale, empty, or low-confidence, continue with targeted native search; retrieval output is a lead, not proof.
- Call graph:
code_graph_callers,code_graph_callees,code_graph_symbol. - Before editing existing files, read exact target slices:
code_read_hashline; CLI fallback:.ai/bin/ai code read-hashline PATH --start START --end END. - Long output or broad search: MCP
sandbox_executeor.ai/bin/ai exec run -- .... - Direct broad shell
grep -r,rg .,find,tree,ack,ag,git grepis last resort; keep native fallbacks targeted.
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.
- 1mo ago First seen · 86 lines · 904 tokens per session scan A 73f11a75fae9
code-brain CLAUDE.md is an instructions file published in the GitHub repository ezBuilder/code-brain (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 904 tokens to every session, about $0.0036 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 2026-08-30.
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