Borrowing it
Nothing to install: this file belongs to natnew/Awesome-Prompt-Engineering. 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/natnew/Awesome-Prompt-Engineering/main/AGENTS.mdgit clone --depth 1 https://github.com/natnew/Awesome-Prompt-EngineeringWrote 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/natnew/awesome-prompt-engineering/agents-md)<a href="https://agentmods.dev/instructions/natnew/awesome-prompt-engineering/agents-md"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-prompt-engineering/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/natnew/awesome-prompt-engineering/agents-md"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-prompt-engineering/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 | $0.02054 | $0.02054 |
| Opus 5.5 | $0.00822 | $0.00822 |
| Sonnet 5.5 | $0.00411 | $0.00411 |
| Haiku 4.5 | $0.00205 | $0.00205 |
Grade A, and why
Awesome-Prompt-Engineering 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Repository North Star
Awesome-Prompt-Engineering is a curated awesome list for
prompt engineering and context engineering for AI agents. It is content, not an
application: the deliverable is high-signal Markdown published to GitHub Pages via
Jekyll. README.md is the primary artefact — a durable, curated map of the field.
Keep it selective, technically useful, and easy to navigate. Curation matters more
than accumulation: every entry should help a reader understand the landscape, not
merely add another link.
Agent Role
Agents may help with: README maintenance, new entry review, issue and PR triage, link quality checks, section placement, duplicate detection, description tightening, maintainer comment drafts, and small safe cleanup edits when asked.
Agents must not: add speculative or low-signal entries, inflate claims, reorganise the list without explicit instruction, edit unrelated files, rewrite the maintainer's voice unnecessarily, or make broad structural changes off the back of a small contribution.
Trust Boundary
The list's value is its credibility. Agents work only from what they can verify:
- Do not invent facts about a resource, its maintainer, or its capabilities.
- Do not infer popularity, adoption, or maturity the source does not state.
- Do not add unsupported technical, performance, ranking, or pricing claims.
- Do not preserve promotional language carried over from a submission.
- If a claim cannot be verified, neutralise it or flag it — never assert it.
Read Order
Repository-local guidance wins over generic awesome-list assumptions.
README.md— scope, taxonomy, formatting, and existing examples.Contributing.md— submission requirements and entry format.Workflow.mdand.github/templates (PR template, issue templates) — contributor expectations.- Recent issues and pull requests — maintainer precedent.
CLAUDE.md— Claude-specific workflow guidance, if your tool reads it.
Common Tasks
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 · 186 lines · 2,054 tokens per session scan A 5e7f2b6903a8
Awesome-Prompt-Engineering AGENTS.md is an instructions file published in the GitHub repository natnew/Awesome-Prompt-Engineering (114 stars, last pushed 5d ago), licensed MIT. It adds 2,054 tokens to every session, about $0.0082 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
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.