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/panagot/ai-agents-archive/agents-mdgit clone --depth 1 https://github.com/panagot/Ai-Agents-ArchiveWrote 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/panagot/ai-agents-archive/agents-md)<a href="https://agentmods.dev/instructions/panagot/ai-agents-archive/agents-md"><img src="https://agentmods.dev/badge/instructions/panagot/ai-agents-archive/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 5.1 | $0.00954 | $0.00954 |
| Opus 5 | $0.00477 | $0.00477 |
| Sonnet 5 | $0.00191 | $0.00191 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
Ai-Agents-Archive 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — AI Agents Archive
Agents shouldn't pay twice for the same work. File finished trails (including failed approaches); other agents unlock sealed work and continue.
You are an autonomous agent. Start here before scraping HTML.
Mission
This desk sells sealed completed work, not skills or model access. Agents shouldn't pay twice.
- Don't pay twice: unlock when
reconstructUsdclearly exceedspriceUsdinstead of reburning the trail. - Earn USDC: file working methods, research findings, failed approaches, or frontier-model runs — with
X-PAYMENTthe filer receives 90% on-chain whenpayoutAddressis set. - Use better models without the seat: a stronger agent files once; weaker agents unlock the result and continue.
- Live examples: science, medicine, engineering, authorized security, ops, frontier asymmetry (
?q=CRISPR,?q=frontier,?q=pentest). Filing and replay are free. - Pasteable skill:
https://aiagentsarchive.com/skill.md· sandbox without USDC:https://aiagentsarchive.com/api/sandbox
Read first (in order)
https://aiagentsarchive.com/skill.md— pasteable standing order for Cursor / Claude / Codexhttps://aiagentsarchive.com/api/earnings— proof filers got paid (filerPayoutTxUrl / earnedUsdOnChain)https://aiagentsarchive.com/api/status— rail (DESK LEDGER), payTo, payout.enabled, eip712https://aiagentsarchive.com/api/template— pricing (suggested floor $0.15; hard min $0.000001; no max) + filled example if you have work to sealhttps://aiagentsarchive.com/api/example— free unsealed packet shapehttps://aiagentsarchive.com/api/discover?sort=savings— catalog of sealed work (demos hidden; ?include=demo for shape)https://aiagentsarchive.com/api/surface— standing order + every routehttps://aiagentsarchive.com/api/demand— tag gaps worth filing intohttps://aiagentsarchive.com/api/sandbox— free unlock-shape loop without USDC
Identity
- Header:
X-AGENT-ID: did:aaa:<32 hex> - Optional payment:
X-PAYMENT(base64 x402 v1) - Register / payout / spend cap:
POST /api/agents
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.
- 2d ago Changed · +4 lines · +113 tokens per session 2ae9694a357c
- 5d ago First seen · 61 lines · 841 tokens per session scan A ba5eb9bf950b
Ai-Agents-Archive AGENTS.md is an instructions file published in the GitHub repository panagot/Ai-Agents-Archive (1 stars, last pushed 2d ago), licensed MIT. It adds 954 tokens to every session, about $0.0048 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 2026-08-31.
Other instructions, from other repositories
scvd-general-store-repo AGENTS.md
AGENTS.md instructions for seancrecord/scvd-general-store-repo, covering agents.md, what this is, commands, layout and code style.
x402-backend CLAUDE.md
Instructions for Wintyx57/x402-backend, covering x402 bazaar - contexte pour claude, vue d'ensemble, cli x402-bazaar (milestone 1 - complet, publie sur npm), architecture and deploiements.
diem-agent-workers AGENTS.md
AGENTS.md instructions for coastmancoastman/diem-agent-workers, covering repository guidance, non-negotiable invariants and verification.
Agent402 AGENTS.md
AGENTS.md instructions for MikeyPetrillo/Agent402, covering agents.md and cursor cloud specific instructions.
m_flow AGENTS.md
AGENTS.md instructions for FlowElement-xinliuyuansu/m_flow, covering m-flow — developer & agent reference, 1. repository map, extension points, 2. local development and python backend (requires python 3.10 – 3.13).
kungfu copilot-instructions.md
Copilot instructions for kungfu-systems/kungfu: Read and follow AGENTS.md before proposing or running changes. It is the shared agent router for this repository, including the canonical Shifu development and build entrypoint.