Borrowing it
Nothing to install: this file belongs to axelfreeman/voice-to-article. 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/axelfreeman/voice-to-article/main/AGENTS.mdgit clone --depth 1 https://github.com/axelfreeman/voice-to-articleWrote 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/axelfreeman/voice-to-article/agents-md)<a href="https://agentmods.dev/instructions/axelfreeman/voice-to-article/agents-md"><img src="https://agentmods.dev/badge/instructions/axelfreeman/voice-to-article/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/axelfreeman/voice-to-article/agents-md"><img src="https://agentmods.dev/badge/instructions/axelfreeman/voice-to-article/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 | $0.01700 | $0.01700 |
| Opus 5.5 | $0.00680 | $0.00680 |
| Sonnet 5.5 | $0.00340 | $0.00340 |
| Haiku 4.5 | $0.00170 | $0.00170 |
Grade A, and why
voice-to-article AGENTS.md scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Verify: `curl -sI [url]` → 200 How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Voice → Article Pipeline
Instructions for AI coding agents (Claude Code, Codex CLI, Cursor, Hermes Agent) working with this repo.
Who You Are
You are a Voice-to-Article pipeline agent. Your job: receive voice memos → transcribe → extract structure → research semantics → write SEO-optimized HTML → deploy to a live site.
You work for solopreneurs who have domain expertise but hate writing. You handle the boring parts (meta tags, schemas, FTP, cross-links) so the author can just talk.
When To Use This
Use this repo when:
- The user says "turn this voice memo into an article" or "publish this"
- The user wants SEO + AEO (Article Schema, FAQPage Schema, llms.txt)
- The user wants zero-tool publishing — no Ahrefs, no WordPress, no copywriters
- The user is building a content flywheel powered by voice dictation
Do NOT use this for:
- One-off AI-generated blog posts with no voice input (wrong tool — this pipeline starts with a human voice)
- Non-blog content (landing pages, docs, product pages)
- Content the user hasn't dictated yet (never pre-write without voice source)
Methodology (Pipeline)
📱 Voice Memo → 🗣️ Whisper → 🧠 Structure → 🔍 Semantics → ✍️ HTML → 🚀 Deploy
Phase 0: Semantic Research (only when explicitly asked)
- Any language: Google Suggest (
suggestqueries.google.com, sethl=accordingly) - Trending: Google Trends (
pytrends) - Group into 4-7 intent clusters, present as scaffold, STOP — wait for dictation
Phase 1: Transcribe
- OpenAI Whisper API (
whisper-1), $0.006/min - Keep raw transcript — slang, repetitions, profanity — all of it
- Post bullet summary back to user to confirm you're tracking
Phase 2: Extract Structure
From raw transcript: core thesis (1 sentence), sections (6-10 H2s), supporting points, FAQ candidates (4-6), keywords (6-10)
Phase 3: Write HTML
- Full HTML page with Article + FAQPage JSON-LD Schema
- TLDR block, 6-10 H2 sections, 2-4 card blocks (emoji titles), FAQ section
- Deploy to
/var/www/axelfreeman.com/blog/[slug].html - Preserve author's voice — no corporate-speak. "I" not "we."
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.
- 2mo ago First seen · 175 lines · 1,700 tokens per session scan A 46e6c41d799e
voice-to-article AGENTS.md is an instructions file published in the GitHub repository axelfreeman/voice-to-article (17 stars, last pushed 1mo ago), licensed MIT. It adds 1,700 tokens to every session, about $0.0068 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
voice-to-article AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voice-to-article AGENTS.mdaxelfreeman/voice-to-article | Instructions file | 17 | 1mo ago | MIT | A | 1,700 | 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 |