Borrowing it
Nothing to install: this file belongs to weitzu-com/ai-article-factory. 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/weitzu-com/ai-article-factory/main/AGENTS.mdgit clone --depth 1 https://github.com/weitzu-com/ai-article-factoryWrote 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/weitzu-com/ai-article-factory/agents-md)<a href="https://agentmods.dev/instructions/weitzu-com/ai-article-factory/agents-md"><img src="https://agentmods.dev/badge/instructions/weitzu-com/ai-article-factory/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/weitzu-com/ai-article-factory/agents-md"><img src="https://agentmods.dev/badge/instructions/weitzu-com/ai-article-factory/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 | $0.01028 | $0.01028 |
| Opus 5.5 | $0.00411 | $0.00411 |
| Sonnet 5.5 | $0.00206 | $0.00206 |
| Haiku 4.5 | $0.00103 | $0.00103 |
Grade A, and why
ai-article-factory 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — AI agent guide for ai-article-factory
Single source of truth for any AI agent (Claude, Gemini, Grok, Codex, Cursor, …) that opens this repo.
CLAUDE.md/GEMINI.md/GROK.mdare thin pointers to this file.
This repository is a self-contained Claude Code skill suite (compatible with other agents) that turns any material, topic, or product into a publish-ready, illustrated, SEO + GEO-optimized article in Markdown + Word, plus per-platform copy (website / LinkedIn / X). A human only reviews, confirms, and publishes; the agent does the rest.
If you are an agent here
- To USE the pipeline (write an article): follow
SKILL.md— the orchestrator. It runs 11 stages and invokes the bundled worker skills inskills/. - To EXTEND it: edit/add a worker in
skills/<name>/SKILL.md; keep it self-contained; then runbash tests/harness.sh(must stay green).
11-stage pipeline
P0 profile → P1 topic → P2 evidence★ → P3 angle → P4 outline → P5 draft → P6 visuals → P7 SEO/GEO → P8 QA★ → P9 export MD+Word → P10 publish → P11 monitor — ★ = hard gate; advance one stage at a time, reporting the artifact + gate verdict.
Bundled worker skills (no external pack required)
| Stage | Skill | Owns |
|---|---|---|
| P1–P2 | skills/article-research |
topic brief · intent/SERP · content gap · evidence ledger |
| P5 | skills/article-write |
answer-first draft · anti-AI-slop · evidence tagging [C#] |
| P6 | skills/article-visuals |
Mermaid + matplotlib figures + cover (图文并茂) |
| P7 | skills/article-optimize |
SEO + GEO + JSON-LD schema + internal links |
| P8 | skills/article-qa |
CORE-EEAT scoring + fact reconciliation (ship gate) |
| P9 | skills/article-export |
MD → Word (.docx), images embedded |
Default path (上善若水 — frictionless default)
one sentence / a materials folder
→ auto-file + blueprint (confirm ①, optional)
→ draft (every fact sourced [C#])
→ self-check + figures + export (confirm ②: glance & approve)
→ 文章.md + 文章.docx
Defaults: infer the profile (no forms), placeholder cover never blocks, website-only unless asked, gates are confirm points. Reveal full 11-stage control / multi-platform / scheduling only on request.
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 · 54 lines · 1,028 tokens per session scan A ed87fc33629b
ai-article-factory AGENTS.md is an instructions file published in the GitHub repository weitzu-com/ai-article-factory (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,028 tokens to every session, about $0.0041 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 2026-08-31.
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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.