Borrowing it
Nothing to install: this file belongs to shijiew/back-to-basics-skills. 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/shijiew/back-to-basics-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/shijiew/back-to-basics-skillsWrote 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/shijiew/back-to-basics-skills/agents-md)<a href="https://agentmods.dev/instructions/shijiew/back-to-basics-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/shijiew/back-to-basics-skills/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/shijiew/back-to-basics-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/shijiew/back-to-basics-skills/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 | $0.00050 | $0.00050 |
| Opus 5 | $0.00025 | $0.00025 |
| Sonnet 5 | $0.00010 | $0.00010 |
| Haiku 4.5 | $0.00005 | $0.00005 |
Grade A, and why
back-to-basics-skills 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- back-to-basics-skills CLAUDE.md — 100% identical, 0 lines differ
What it actually says
Entropy
Agent system design is the art of reducing system entropy.
Add a part only when its absence provably blocks the task; usefulness is not necessity.
Every dependency imports its own disorder; the standard library is the lowest-entropy dependency.
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.
- 9d ago First seen · 8 lines · 50 tokens per session scan A 369daa80774a
back-to-basics-skills AGENTS.md is an instructions file published in the GitHub repository shijiew/back-to-basics-skills (3 stars, last pushed 23d ago), licensed MIT. It adds 50 tokens to every session, about $0.0003 per session on Opus 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
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.