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/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/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/aiosai/aipass/agents-md"><img src="https://agentmods.dev/badge/instructions/aiosai/aipass/agents-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 | $0.00502 | $0.00502 |
| Opus 5.5 | $0.00201 | $0.00201 |
| Sonnet 5.5 | $0.00100 | $0.00100 |
| Haiku 4.5 | $0.00050 | $0.00050 |
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 yesterday.
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, one file per call, never concatenated:
.trinity/passport.json,.trinity/local.json,.trinity/observations.json. A "persisted output" notice means you batched: read the originals one per call, never the persisted file. - Never read your
README.mdat startup — it is the face for strangers. Your inventory isdrone @<self>(live) anddrone @<self> --help. - 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 (Claude Code) or $memo (Codex).
Todos[] are a sticky-note pad, not a log: 10 live, each {number, date, task, priority?}, the task one line under 100 chars ("Check on seedgo's errors in logs"), no status field — the story lives in plans and sessions. Delete each todo the moment it's done. The oldest roll off by number to .backup/todo/<branch>/backlog.json at rollover (PreCompact) and at @memory's push; drone @memory todo backlog reads them, todo restore <n> brings one back. Rolling never closes anything, so reconcile on load: remove what is finished so it never resurfaces as open. A truncated .trinity read is a signal, not noise — say so first, then measure the file.
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.
- yesterday Changed · +12 tokens per session 8b2c4882dbf1
- 6d ago Changed · +4 lines · +240 tokens per session e29ff092cef1
- 1mo 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 (306 stars, last pushed yesterday), licensed MIT. It adds 502 tokens to every session, about $0.0020 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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.