Borrowing it
Nothing to install: this file belongs to xg-gh-25/SwarmAI. 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/xg-gh-25/SwarmAI/main/CLAUDE.mdgit clone --depth 1 https://github.com/xg-gh-25/SwarmAIWrote 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/xg-gh-25/swarmai/claude-md)<a href="https://agentmods.dev/instructions/xg-gh-25/swarmai/claude-md"><img src="https://agentmods.dev/badge/instructions/xg-gh-25/swarmai/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/xg-gh-25/swarmai/claude-md"><img src="https://agentmods.dev/badge/instructions/xg-gh-25/swarmai/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 | $0.00355 | $0.00355 |
| Opus 5.5 | $0.00142 | $0.00142 |
| Sonnet 5.5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
SwarmAI 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 8d 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
CLAUDE.md
Short entry point for Claude Code / Cursor / other AI coding assistants working in this repo.
SwarmAI is a self-evolving Agent OS, not a Claude wrapper. Cognition (how it judges — principles, rules, gates) is kept separate from knowledge (what it knows). The model proposes; a layer of gates + a staged pipeline + a validator dispose. Much of
backend/core/is "guardrails around an LLM" — that is the product.
Read AGENTS.md before any non-trivial change. It is the single source of
truth for this repo: architecture, dev commands, the test command form, the push gate
(build + tests + eval), and commit rules. Coding anti-patterns and lifecycle invariants are
in .kiro/steering/swarmai-dev-rules.md.
The three rules people get wrong most often (full detail in AGENTS.md):
- No push unless build, tests, and
cd backend && python scripts/ci_eval_gate.pyare all green. Commit directly tomain; never auto-branch. - pytest needs a wall-clock cap:
perl -e 'alarm 90; exec @ARGV' python -m pytest tests/test_<module>.py -v --timeout=60(frombackend/). Never pipe pytest through| tail. - Every commit ends with
Co-Authored-By: Swarm <[email protected]>, never a Claude/Anthropic identity. Nothing enforces this for a manual commit — write it yourself.
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.
- 8d ago Changed · -28 lines · -324 tokens per session a2bd92b0104f
- 1mo ago First seen · 52 lines · 679 tokens per session scan A 1843f86f7686
SwarmAI CLAUDE.md is an instructions file published in the GitHub repository xg-gh-25/SwarmAI (55 stars, last pushed 8d ago), licensed MIT. It adds 355 tokens to every session, about $0.0014 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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.