Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/aiosai/aipass/agents-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/agents-md)<a href="https://agentmods.dev/instructions/aiosai/aipass/agents-md"><img src="https://agentmods.dev/badge/instructions/aiosai/aipass/agents-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 | $0.00250 | $0.00250 |
| Opus 5 | $0.00125 | $0.00125 |
| Sonnet 5 | $0.00050 | $0.00050 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
AIPass AGENTS.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 4d 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.
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.
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.
- 4d ago First seen · 21 lines · 250 tokens per session scan A a8a43de12ab6
AIPass AGENTS.md is an instructions file published in the GitHub repository AIOSAI/AIPass (273 stars, last pushed yesterday), licensed MIT. It adds 250 tokens to every session, about $0.0013 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.
Other instructions, from other repositories
engraphis AGENTS.md
AGENTS.md instructions for Coding-Dev-Tools/engraphis, covering agents.md — engraphis, internal subagent delegation, 0. read this first — two architectures live in one package, 1. commands and ── unified dashboard + memory inspector ──.
honcho CLAUDE.md
Claude Code instructions for plastic-labs/honcho, covering claude.md, honcho overview, what is honcho?, core concepts and peer paradigm.
mentedb copilot-instructions.md
Instructions for nambok/mentedb, covering mentedb development instructions, project overview, workspace structure, build, test, and lint and key types.
amfs CLAUDE.md
Instructions for raia-live/amfs, covering amfs memory — agent instructions, available mcp tools, identity, brain tools (agent-scoped) and shared knowledge tools.
docmancer copilot-instructions.md
Instructions for docmancer/docmancer, covering docmancer, workflow and core commands.
causal-memory CLAUDE.md
Claude Code instructions for JingxuanC/causal-memory, covering causal memory mcp integration, causal memory integration, after acting on a decision and observing the result, when something fails unexpectedly and when a recorded lesson turns out to be wrong.