What is femtech-radar AGENTS.md?

A set of instructions for AI coding assistants working on FemTech Radar, a TypeScript project that collects and publishes information about women's health and FemTech. It explains the project's structure, data rules, and development setup.

It helps with coding tasks in the repository, including its scrape, curate, and publish units, pnpm monorepo layout, and GitHub-based workflows.

It gives an assistant the repository context needed to make changes that fit the existing pipeline and avoid breaking its data contract.

How ChanMeng666/femtech-radar configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to ChanMeng666/femtech-radar. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/ChanMeng666/femtech-radar/master/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/ChanMeng666/femtech-radar

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/chanmeng666/femtech-radar/agents-md/github.svg)](https://agentmods.dev/instructions/chanmeng666/femtech-radar/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/chanmeng666/femtech-radar/agents-md"><img src="https://agentmods.dev/badge/instructions/chanmeng666/femtech-radar/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/chanmeng666/femtech-radar/agents-md"><img src="https://agentmods.dev/badge/instructions/chanmeng666/femtech-radar/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 5,304 This file is loaded in full into every session.

When invoked 5,304 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.05304	$0.05304
Opus 5.5	$0.02122	$0.02122
Sonnet 5.5	$0.01061	$0.01061
Haiku 4.5	$0.00530	$0.00530

Measured 2mo ago against content hash c885b4a63361, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

femtech-radar 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 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.

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.

AGENTS.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides project guidance to AI coding assistants (Claude Code, GitHub Copilot, Cursor, Codex, etc.) working with this repository. Read it before writing or changing any code.

Project Overview

femtech-radar — Agent-first FemTech intelligence: a three-unit scrape → curate → publish pipeline that turns the scattered firehose of women's-health & FemTech signal into a curated, deduplicated, ranked, subscribable weekly digest, built entirely on GitHub-native primitives plus a reusable MCP server.

Primary language / stack: TypeScript (strict, ESM) on Node.js ≥ 20, pnpm monorepo
Default branch: master
Repository: https://github.com/ChanMeng666/femtech-radar (public)
Live site: https://chanmeng666.github.io/femtech-radar/ · RSS: https://chanmeng666.github.io/femtech-radar/rss.xml · Per-section RSS: /rss/<section>.xml (e.g. /rss/industry.xml)
npm package: @chanmeng666/femtech-radar-mcp (v0.4.1)

Status: all three units are built and live in production. The pipeline runs end-to-end: the weekly workflow calls the published MCP server, curates a digest, opens a data PR, and the site auto-deploys. All five sections (industry, research, opportunities, discussions, china) now have source adapters and are collected by the weekly workflow. Deferred to a future version: ChatOps slash commands and bilingual support.

The Three Units

 Sources ─► ① MCP server ─► ② weekly gh aw workflow ─► data/YYYY-Www.json ─► ③ Astro site + RSS
 (arXiv,    (deterministic:   (editorial judgment:        (Interface ②,         (reads data/, auto-
  Google     fetch/dedupe/     Copilot curates +           single source        deploys to Pages)
  News)      score)            writes why_it_matters)      of truth)

Core principle — determinism vs judgment. Unit ① does ONLY deterministic work (fetch, normalize, dedupe, score) and is reusable/unit-tested. ALL editorial judgment (which items, the per-item why_it_matters line, the weekly editor_note, cross-section dedup) lives in Unit ②'s Copilot agent. Unit ③ is pure presentation and reads only committed data. Keep these responsibilities separate.

Read the full file on GitHub · 207 lines

Changes

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 · 207 lines · 5,304 tokens per session scan A c885b4a63361

Subscribe to this mod's changes

femtech-radar AGENTS.md is an instructions file published in the GitHub repository ChanMeng666/femtech-radar (0 stars, last pushed 2mo ago), licensed MIT. It adds 5,304 tokens to every session, about $0.0212 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 2026-09-01.

Research ai-agents arxiv claude femtech github-actions mcp

femtech-radar AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
femtech-radar AGENTS.mdChanMeng666/femtech-radar	Instructions file	0	2mo ago	MIT	A	5,304	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

femtech-radar: Instructions file for Codex