Borrowing it
Nothing to install: this file belongs to lynxlangya/techne. 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/lynxlangya/techne/main/AGENTS.mdgit clone --depth 1 https://github.com/lynxlangya/techneWrote 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/lynxlangya/techne/agents-md)<a href="https://agentmods.dev/instructions/lynxlangya/techne/agents-md"><img src="https://agentmods.dev/badge/instructions/lynxlangya/techne/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/lynxlangya/techne/agents-md"><img src="https://agentmods.dev/badge/instructions/lynxlangya/techne/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 | $0.01237 | $0.01237 |
| Opus 5.5 | $0.00495 | $0.00495 |
| Sonnet 5.5 | $0.00247 | $0.00247 |
| Haiku 4.5 | $0.00124 | $0.00124 |
Grade A, and why
techne 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
version: v0.1
project: techne
updated: 2026-07-02
Project Facts
techneis an early-stage skills/plugin repository for "Skills and agents for the AI era."- The current
mainbranch contains the Claude plugin skin, install matrix docs, Cursor/Gemini thin skins, and four real skills:skills/anchor-viz(typed diagram router with a mechanical provenance gate),skills/anchor-repro(repro-first bugfix ledger),skills/anchor-vet(evidence-gated diff review), andskills/anchor-intake(written-brief interrogation gate). - There is still no root app, root package manager, CI, or general test runner.
skills/anchor-viz/scripts/package.jsonis a local helper manifest for the Mermaid validator, not a repo-wide build system;skills/anchor-repro/scripts/repro_ledger.py,skills/anchor-vet/scripts/vet_gate.py, andskills/anchor-intake/scripts/intake_gate.pyare dependency-free Python 3 stdlib (POSIX-only). - The git history contains a legacy
atools-jscodebase, but new work in this repo should not infer current architecture, tooling, or business rules from that legacy history unless the user explicitly asks for migration or reference work.
Working Rules
- Start with current files, not assumptions: inspect the present tree before choosing a structure, dependency, or framework.
- Keep early changes content-first and minimal. Do not add scaffolding, package managers, CI, telemetry, network services, or generated boilerplate unless the task requires them.
- When adding skills, agents, docs, or examples, include the intended usage, constraints, and a direct validation path.
- Prefer small, reviewable directory structures over broad future-facing abstractions until the repo has repeated patterns.
- Keep one tool-neutral skill body in
skills/; host-specific files should stay as thin skins or install instructions that point back to that body. - Keep public-facing documentation split by language:
README.mdis the default English document, andREADME-CN.mdis the Chinese companion. For real skills, keep executable instructions inSKILL.mdand human usage guidance in nearbyREADME.md/README-CN.mdfiles. - Do not commit generated
.techne/viewer output.skills/anchor-viz/scripts/build_viewer.pywrites.techne/viz/index.htmlinside target projects only. - Do not commit secrets, tokens, private config,
.envcontents, or logs that may contain credentials.
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 · 46 lines · 1,237 tokens per session scan A 107f8596cd0d
techne AGENTS.md is an instructions file published in the GitHub repository lynxlangya/techne (106 stars, last pushed 3mo ago), licensed MIT. It adds 1,237 tokens to every session, about $0.0049 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
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Repository instructions for a data-science workflow in GitHub Copilot, covering datasets, statistics, and analysis files.
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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).
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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).