Borrowing it
Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. 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/Smart-AI-Memory/attune-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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/smart-ai-memory/attune-ai/claude-md)<a href="https://agentmods.dev/instructions/smart-ai-memory/attune-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/smart-ai-memory/attune-ai/claude-md.svg" alt="Measured on agentmods" 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 | $0.00240 | $0.00240 |
| Opus 5 | $0.00120 | $0.00120 |
| Sonnet 5 | $0.00048 | $0.00048 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
attune-ai 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 3d 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
Memory
Me
Patrick, project owner of Attune AI. Prefers console integration and spends most time in code.
People
| Who | Role |
|---|---|
| Patrick | Project owner, primary developer |
Terms
| Term | Meaning |
|---|---|
| P2B | Phase 2 Backlog (deferred debt) |
| LLM | Large Language Model |
| SDK | Agent SDK subsystem |
| CLI | attune command |
| hub | Command routing namespace |
| tier | Model cost level (CHEAP/CAPABLE/PREMIUM) |
| wizard | Multi-step guided workflow |
| crew | Multi-agent team (CrewAI-based) |
| progressive | Multi-tier escalation workflow |
| Socratic | Discovery-first interaction style |
Projects
| Name | What |
|---|---|
| attune-ai | AI dev workflows |
| Phase 2 | Profiling, caching, generators |
Preferences
- Console-first workflow, minimal context switching
- Code over docs — spends more time coding
- Prefers TASKS.md + CLI over external tools
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.
- 3d ago First seen · 42 lines · 240 tokens per session scan A f543008dc0e9
attune-ai CLAUDE.md is an instructions file published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 240 tokens to every session, about $0.0012 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 2026-09-03.
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