Borrowing it
Nothing to install: this file belongs to frankxai/awesome-ai-coe. 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/frankxai/awesome-ai-coe/main/AGENTS.mdgit clone --depth 1 https://github.com/frankxai/awesome-ai-coeWrote 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/frankxai/awesome-ai-coe/agents-md)<a href="https://agentmods.dev/instructions/frankxai/awesome-ai-coe/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-ai-coe/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/frankxai/awesome-ai-coe/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-ai-coe/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 | $0.00358 | $0.00358 |
| Opus 5.5 | $0.00143 | $0.00143 |
| Sonnet 5.5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
awesome-ai-coe 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 2mo 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.
This is a copy
100% identical to awesome-agent-operating-systems AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Repository Instructions
This repo is part of the FrankX / Starlight / Arcanea agent estate.
Classification
- Repo: $title
- Class: $Classification
- Default health command: $HealthCommand
- Remote: $Remote
Agent Rules
- Read this file before making changes.
- Preserve existing user work and unrelated dirty files.
- Keep edits scoped to the requested task.
- Prefer existing repo conventions over new abstractions.
- Run the health command before handoff when feasible.
- Do not publish secrets, private memory, credentials, or internal-only strategy.
Class-Specific Guidance
- Prefer primary sources and active projects.
- Avoid private paths, private strategy, and unsourced rankings.
- Keep lists curated, not exhaustive dumps.
Handoff
Summarize changed files, validation run, risks, and any follow-up needed.
Design Taste Kernel
For any site, app, landing page, dashboard, visual identity, brand, motion, media, social, or frontend task, apply the shared Design Taste Kernel before handoff:
- C:\Users\frank\starlight\repos\DESIGN_TASTE.md
- C:\Users\frank\starlight\repos\WEB_EXPERIENCE_STANDARD.md
- C:\Users\frank\starlight\repos\MOTION_TASTE_RUBRIC.md
- C:\Users\frank\starlight\repos\MULTI_AGENT_DESIGN_COUNCIL.md
- C:\Users\frank\starlight\repos\VISUAL_QA_GATE.md
When motion, scroll, generated media, GIF/video, or premium polish matters, route through the Motion Design Studio plugin/skills and verify the result visually.
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.
- 2mo ago First seen · 43 lines · 358 tokens per session scan A 8755e6473e0a
awesome-ai-coe AGENTS.md is an instructions file published in the GitHub repository frankxai/awesome-ai-coe (0 stars, last pushed 27d ago), licensed CC0-1.0. It adds 358 tokens to every session, about $0.0014 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to awesome-agent-operating-systems AGENTS.md, differing in 0 lines, and is treated as a copy.
awesome-ai-coe AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| awesome-ai-coe AGENTS.mdfrankxai/awesome-ai-coe | Instructions file | 0 | 27d ago | CC0-1.0 | A | 358 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |