Borrowing it
Nothing to install: this file belongs to selfradiance/agentgate. 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/selfradiance/agentgate/main/AGENTS.mdgit clone --depth 1 https://github.com/selfradiance/agentgateWrote 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/selfradiance/agentgate/agents-md)<a href="https://agentmods.dev/instructions/selfradiance/agentgate/agents-md"><img src="https://agentmods.dev/badge/instructions/selfradiance/agentgate/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/selfradiance/agentgate/agents-md"><img src="https://agentmods.dev/badge/instructions/selfradiance/agentgate/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 | $0.01113 | $0.01113 |
| Opus 5.5 | $0.00445 | $0.00445 |
| Sonnet 5.5 | $0.00223 | $0.00223 |
| Haiku 4.5 | $0.00111 | $0.00111 |
Grade A, and why
agentgate 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 1mo 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Commands
npm installinstalls project dependenciesnpm run devstarts the local Fastify server with reloadnpm run buildcompiles TypeScriptnpm run testruns the automated test suitenpm run lintruns the TypeScript typecheck used as linting
Conventions
- Keep the implementation minimal and local-first
- Use Fastify route handlers with zod parsing for request validation
- Use SQLite through
better-sqlite3; prefer:memory:in tests - Keep bond settlement logic in
src/service.ts - Add tests for state transitions through Fastify injection rather than only unit-level helpers
AgentGate: Instructions for Any AI Assistant
This repository is developed with help from AI. These rules apply regardless of model or tool.
User skill level
- The user is a beginner.
- Use baby steps.
- Provide clear, small, actionable steps.
Non-negotiable workflow (always)
For any meaningful change:
- Make the smallest safe change.
- Verify:
- run typecheck/build (as applicable)
- run demo script(s) / minimal tests
- Commit with a clear message.
- Push to GitHub immediately after committing. Do not leave commits unpushed unless explicitly told to hold off.
- Update README with:
- what changed
- how to verify
- next steps
If verification fails, stop and fix before proceeding.
Security priorities
- Treat auth/token/nonce/replay/transport logic as high risk.
- Prefer safety and clarity over speed.
- Never weaken security checks to “make it work”.
- Log security-relevant events (without leaking secrets).
Secrets and sensitive data
- Never hardcode secrets.
- Never commit tokens/keys/.env.
- Use example files and documented env vars instead.
Working style
- Ask before large refactors.
- Prefer small diffs and incremental steps.
- Keep diffs under ~100 lines per change. If a change exceeds 300 lines, stop and break it into smaller pieces before proceeding.
- When uncertain, propose 2 options with tradeoffs and default to safer.
- Do not claim something is verified unless you list what you ran/checked.
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.
- 1mo ago First seen · 116 lines · 1,113 tokens per session scan A 0a32248256c4
agentgate AGENTS.md is an instructions file published in the GitHub repository selfradiance/agentgate (5 stars, last pushed 6mo ago), licensed MIT. It adds 1,113 tokens to every session, about $0.0045 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.
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.