Borrowing it
Nothing to install: this file belongs to genai-tools/anygpt. 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/genai-tools/anygpt/main/AGENTS.mdgit clone --depth 1 https://github.com/genai-tools/anygptWrote 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/genai-tools/anygpt/agents-md)<a href="https://agentmods.dev/instructions/genai-tools/anygpt/agents-md"><img src="https://agentmods.dev/badge/instructions/genai-tools/anygpt/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/genai-tools/anygpt/agents-md"><img src="https://agentmods.dev/badge/instructions/genai-tools/anygpt/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 | $0.00354 | $0.00354 |
| Opus 5.5 | $0.00142 | $0.00142 |
| Sonnet 5.5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
anygpt 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.
What it actually says
General Guidelines for working with Nx
- When running tasks (for example build, lint, test, e2e, etc.), always prefer running the task through
nx(i.e.nx run,nx run-many,nx affected) instead of using the underlying tooling directly - You have access to the Nx MCP server and its tools, use them to help the user
- When answering questions about the repository, use the
nx_workspacetool first to gain an understanding of the workspace architecture where applicable. - When working in individual projects, use the
nx_project_detailsmcp tool to analyze and understand the specific project structure and dependencies - For questions around nx configuration, best practices or if you're unsure, use the
nx_docstool to get relevant, up-to-date docs. Always use this instead of assuming things about nx configuration - If the user needs help with an Nx configuration or project graph error, use the
nx_workspacetool to get any errors
CI Error Guidelines
If the user wants help with fixing an error in their CI pipeline, use the following flow:
- Retrieve the list of current CI Pipeline Executions (CIPEs) using the
nx_cloud_cipe_detailstool - If there are any errors, use the
nx_cloud_fix_cipe_failuretool to retrieve the logs for a specific task - Use the task logs to see what's wrong and help the user fix their problem. Use the appropriate tools if necessary
- Make sure that the problem is fixed by running the task that you passed into the
nx_cloud_fix_cipe_failuretool
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 · 22 lines · 354 tokens per session scan A f78db93474ea
anygpt AGENTS.md is an instructions file published in the GitHub repository genai-tools/anygpt (1 stars, last pushed 3mo ago), licensed MIT. It adds 354 tokens to every session, about $0.0014 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 2026-08-31.
anygpt AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| anygpt AGENTS.mdgenai-tools/anygpt | Instructions file | 1 | 3mo ago | MIT | A | 354 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |