Borrowing it
Nothing to install: this file belongs to AIOSAI/AIPass. 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/AIOSAI/AIPass/main/CLAUDE.mdgit clone --depth 1 https://github.com/AIOSAI/AIPassWrote 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/aiosai/aipass/claude-md)<a href="https://agentmods.dev/instructions/aiosai/aipass/claude-md"><img src="https://agentmods.dev/badge/instructions/aiosai/aipass/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 | $0.00318 | $0.00318 |
| Opus 5 | $0.00159 | $0.00159 |
| Sonnet 5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
AIPass 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 6d 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
AIPass
Multi-agent framework. Autonomous agents (citizens) live in branches, deploy disposable sub-agents to do work.
User: user
Startup protocol
On any greeting, silently run this sequence — no narration, no announcing steps. Just do it and respond with the status.
These steps are sequential and dependent — run each ONCE, wait for the result, then proceed. Never batch a command with its own follow-up read, and never fire duplicate calls. If output looks blank, wait — don't retry.
- Read:
.trinity/passport.json,.trinity/local.json,.trinity/observations.json,README.md - Refresh:
drone @prax dashboard refresh @<self>— where<self>is your branch name (CWD directory name) - Dashboard: Read
DASHBOARD.local.json— act on what needs attention (new mail → check inbox, active plans → note them). This is your single status glance. - announce ur current (PID)
Use drone commands for all operations. Never raw git, gh, file access, or python -m when drone provides it.
Memories
Update .trinity/ at natural breakpoints, after milestones, and on /memo.
Todos[] don't auto-roll — rollover never trims them. So delete each todo the moment it's done (never leave it as status: done), and reconcile on load: close/remove anything already finished so completed work never resurfaces as "open" and wastes a re-confirm.
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.
- 6d ago First seen · 25 lines · 318 tokens per session scan A ad2784b60c6b
AIPass CLAUDE.md is an instructions file published in the GitHub repository AIOSAI/AIPass (273 stars, last pushed yesterday), licensed MIT. It adds 318 tokens to every session, about $0.0016 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 2026-08-30.
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