Borrowing it
Nothing to install: this file belongs to konglong87/shenbi-maliang. 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/konglong87/shenbi-maliang/main/AGENTS.mdgit clone --depth 1 https://github.com/konglong87/shenbi-maliangWrote 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/konglong87/shenbi-maliang/agents-md)<a href="https://agentmods.dev/instructions/konglong87/shenbi-maliang/agents-md"><img src="https://agentmods.dev/badge/instructions/konglong87/shenbi-maliang/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/konglong87/shenbi-maliang/agents-md"><img src="https://agentmods.dev/badge/instructions/konglong87/shenbi-maliang/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 | $0.00220 | $0.00220 |
| Opus 5.5 | $0.00088 | $0.00088 |
| Sonnet 5.5 | $0.00044 | $0.00044 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
shenbi-maliang 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.
What it actually says
Project Rules
- Independently improve this project. Do not import or record other writing-skill projects' names, URLs, commit IDs, source code, templates, research, or documents in this repository. General engineering principles may inform original work.
- Never remove third-party attribution to conceal copied material. Do not copy material that would require attribution from another writing-skill project.
- Preserve user files, author corpora, edits, and unpublished Git commits.
- Work on the current branch. Ask before creating a branch or worktree.
- Use
konglong <konglong@com>for commits. Test and push each completed batch. - Keep raw author data and generated private state out of Git.
- Separate deterministic tests, semantic review, and real-user studies. Do not present simulated data or unperformed reviews as measured writing quality.
- Follow
docs/superpowers/plans/2026-09-15-writing-dna-optimization.md. Implement engineering improvements; external recruitment, paid model runs, and public distribution require separate confirmation.
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 · 17 lines · 220 tokens per session scan A 4032ec222fa6
shenbi-maliang AGENTS.md is an instructions file published in the GitHub repository konglong87/shenbi-maliang (3 stars, last pushed 1mo ago), licensed MIT. It adds 220 tokens to every session, about $0.0009 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 2026-09-16.
shenbi-maliang AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shenbi-maliang AGENTS.mdkonglong87/shenbi-maliang | Instructions file | 3 | 1mo ago | MIT | A | 220 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |