Borrowing it
Nothing to install: this file belongs to LearnAIHubC/AgentRules. 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/LearnAIHubC/AgentRules/main/AGENTS.mdgit clone --depth 1 https://github.com/LearnAIHubC/AgentRulesWrote 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/learnaihubc/agentrules/agents-md)<a href="https://agentmods.dev/instructions/learnaihubc/agentrules/agents-md"><img src="https://agentmods.dev/badge/instructions/learnaihubc/agentrules/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/learnaihubc/agentrules/agents-md"><img src="https://agentmods.dev/badge/instructions/learnaihubc/agentrules/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 | $0.01280 | $0.01280 |
| Opus 5.5 | $0.00512 | $0.00512 |
| Sonnet 5.5 | $0.00256 | $0.00256 |
| Haiku 4.5 | $0.00128 | $0.00128 |
Grade A, and why
AgentRules 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.
Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.
1. Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
- Turn the request into 2-5 concrete, verifiable acceptance criteria.
- State your assumptions explicitly. If uncertain, ask.
- If multiple interpretations exist, present them - don't pick silently.
- If a simpler approach exists, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.
2. Simplicity First
Minimum code that solves the problem. Nothing speculative.
- No features beyond what was asked.
- No abstractions for single-use code.
- No "flexibility" or "configurability" that wasn't requested.
- No error handling for impossible scenarios.
- If you write 200 lines and it could be 50, rewrite it.
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
3. Preserve Existing Architecture and Framework Boundaries
Understand the system before extending it. Preserve the guarantees already in place.
When creating or extending a project:
- If a codebase, scaffold, template, architecture, dependency set, or framework has already been selected, inspect its structure, conventions, dependency graph, existing patterns, and supported extension points before designing or coding.
- Prefer the project's established abstractions and integration paths when they cover the need. Do not introduce a parallel architecture or replace or bypass a dependency or framework without explicit justification.
- Keep feature logic modular, but integrate it through the lifecycle and control boundaries of the adopted architecture and frameworks, such as dependency injection, routing, state management, persistence, middleware, and configuration.
- Do not make a feature work by bypassing those boundaries in a way that disables framework hooks, guarantees, cross-cutting behavior, or existing functionality.
- If the requirement does not fit the current boundaries, explain the mismatch and tradeoffs before changing the architecture or introducing or replacing dependencies.
- Verify the feature through the project's normal entry points and regression tests, confirming that the existing architecture and framework behavior remains effective.
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 · 115 lines · 1,280 tokens per session scan A f0f88d9d0b6e
AgentRules AGENTS.md is an instructions file published in the GitHub repository LearnAIHubC/AgentRules (17 stars, last pushed 2mo ago), licensed MIT. It adds 1,280 tokens to every session, about $0.0051 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
agent-rulescope tests.instructions.md
Instructions for 13624725933/agent-rulescope, a project described as: See exactly which instructions your coding agent inherits. Scan AGENTS.md, CLAUDE.md, Cursor and Copilot rules.
agent-rulescope copilot-instructions.md
Copilot instructions for 13624725933/agent-rulescope, a project described as: See exactly which instructions your coding agent inherits. Scan AGENTS.md, CLAUDE.md, Cursor and Copilot rules.
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.