femtech-radar AGENTS.md

femtech-radar AGENTS.md is an instructions file for Codex, OpenCode from ChanMeng666/femtech-radar. It costs 5,304 tokens per session, scanned A, original, MIT.

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.

In plain words
What is it for?
It helps with coding tasks in the repository, including its scrape, curate, and publish units, pnpm monorepo layout, and GitHub-based workflows.
Why use it?
It gives an assistant the repository context needed to make changes that fit the existing pipeline and avoid breaking its data contract.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md; mentions Codex.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/chanmeng666/femtech-radar/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.

agentmods badge for femtech-radar AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/chanmeng666/femtech-radar/agents-md.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.svg" alt="Measured on agentmods" 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. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.05304 $0.05304
Opus 5 $0.02652 $0.02652
Sonnet 5 $0.01061 $0.01061
Haiku 4.5 $0.00530 $0.00530

Measured 5d ago against content hash c885b4a63361, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 5d 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.

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.

  1. 5d 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 5d ago), licensed MIT. It adds 5,304 tokens to every session, about $0.0265 per session on Opus 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.