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.
npx agentmods add instructions/emzod/agent-focus-group/agents-mdgit clone --depth 1 https://github.com/EmZod/Agent-Focus-GroupWrote 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/emzod/agent-focus-group/agents-md)<a href="https://agentmods.dev/instructions/emzod/agent-focus-group/agents-md"><img src="https://agentmods.dev/badge/instructions/emzod/agent-focus-group/agents-md.svg" alt="Measured on agentmods" 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 | $0.02284 | $0.02284 |
| Opus 5 | $0.01142 | $0.01142 |
| Sonnet 5 | $0.00457 | $0.00457 |
| Haiku 4.5 | $0.00228 | $0.00228 |
Grade C, and why
Agent-Focus-Group AGENTS.md scanned grade C with 2 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 3d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **Bun runtime** — Install from https://bun.sh (`curl -fsSL https://bun.sh/install | bash`) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Bun runtime** — Install from https://bun.sh (`curl -fsSL https://bun.sh/install | bash`) How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
TL;DR: Test skill docs against multiple AI models. Run
bun run src/cli.ts test <skill-file.md> "<task>" -m qwen/qwen3-coder:freeand see what models found confusing.
Prerequisites
Before using Focus Group, you need:
- Bun runtime — Install from https://bun.sh (
curl -fsSL https://bun.sh/install | bash) - OpenRouter API key — Free signup at https://openrouter.ai/keys
- A skill file — Markdown doc describing your tool (see "What's a Skill File?" below)
What This Is
Focus Group tests AI tool documentation by sending it to multiple AI models along with a task. The models respond as QA testers — reporting what confused them and suggesting improvements. This helps you find documentation gaps before shipping.
What's a Skill File?
A skill file is a markdown document containing instructions for AI agents. It describes a tool, API, or capability that an AI should be able to use. See examples/sample-skill.md for a complete example.
# Podcast Generator
Generate podcasts with multiple voices.
## Usage
podcast-gen --voices <count> --duration <minutes> --output <file>
## Parameters
- `--voices`: Number of distinct voices (1-5)
- `--duration`: Length in minutes
- `--output`: Output file path (.mp3)
## Example
podcast-gen --voices 3 --duration 30 --output episode.mp3
Installation
# Clone and install
git clone https://github.com/EmZod/Agent-Focus-Group
cd Agent-Focus-Group
bun install
Important: All commands must be run from inside the Agent-Focus-Group directory.
Quick Start (Free, Zero Cost)
# 1. Set your API key (get from https://openrouter.ai/keys)
export OPENROUTER_API_KEY="sk-or-v1-..."
# 2. Create a test skill file
cat > test-skill.md << 'EOF'
# Test Tool
Does something useful.
## Usage
test-tool --input <file>
## Example
test-tool --input data.txt
EOF
# 3. Run test with FREE model (zero cost)
bun run src/cli.ts test test-skill.md "Process the data in data.txt" -m qwen/qwen3-coder:free
# 4. Results appear in ~30-60 seconds
# View saved results anytime:
bun run src/cli.ts show latest
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.
- 3d ago First seen · 267 lines · 2,284 tokens per session scan C 75e1645a2ccf
Agent-Focus-Group AGENTS.md is an instructions file published in the GitHub repository EmZod/Agent-Focus-Group (2 stars, last pushed 7mo ago), licensed MIT. It adds 2,284 tokens to every session, about $0.0114 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
LLM_trader AGENTS.md
AGENTS.md instructions for qrak/LLM_trader, covering llm trader — master architecture blueprint, 0. instruction authority, 1. system overview, 2. agent inventory and 3. application lifecycle.
1Panel-Appstore AGENTS.md
Instructions for arch3rPro/1Panel-Appstore, covering repository guidelines, project shape, app package layout, 1panel conventions and app creation workflow.
abap_wiki AGENTS.md
AGENTS.md instructions for Gixsy95/abap_wiki, covering agents.md - abapwiki operating contract, 1. identity and mission, 2. language, 3. architecture: the two planes and 4. inviolable rules.
gnosis-mcp CLAUDE.md
Instructions for nicholasglazer/gnosis-mcp, covering gnosis mcp -- mcp documentation server, architecture, backend protocol, dependencies and tools.
python-docs-mcp-server AGENTS.md
AGENTS.md instructions for ayhammouda/python-docs-mcp-server, covering repository guidance, project, autonomous agent execution, canonical commands and mcp testing flow.
jdocmunch-mcp CLAUDE.md
Claude Code instructions for jgravelle/jdocmunch-mcp, covering jdocmunch-mcp, standing operational notes (jdoc-specific), standing lessons (suite-wide), release: the two steps that are only written down here and 1. read ci for the pushed sha before any irreversible step.