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/ferdinandobons/startup-skill/agents-mdgit clone --depth 1 https://github.com/ferdinandobons/startup-skillWhat 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 | $0.02416 | $0.02416 |
| Opus 5 | $0.01208 | $0.01208 |
| Sonnet 5 | $0.00483 | $0.00483 |
| Haiku 4.5 | $0.00242 | $0.00242 |
Grade A, and why
startup-skill 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 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- startup-skill CLAUDE.md — 94% identical, 17 lines differ
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidelines for AI agents working in this repository.
Repository Overview
This repository contains the startup plugin for AI agents. The plugin namespace is startup, and it includes multiple skills organized in 3 categories: Design, Analyze, and Build (4 skills total).
- Name: Startup Skills
- GitHub: ferdinandobons/startup-skill
- Creator: Ferdinando Bons
- License: MIT
Skill Taxonomy
| Category | Purpose | Skills |
|---|---|---|
| Design | Full process, idea to validated plan | startup-design |
| Analyze | Deep standalone analysis of one area | startup-competitors, startup-positioning |
| Build | Post-validation execution tools | startup-pitch |
Repository Structure
startup-skill/ # Plugin namespace (startup:*)
├── .claude-plugin/
│ └── marketplace.json # Plugin definition (name must be "startup")
├── startup-design/ # Skill: startup:startup-design
│ ├── SKILL.md # Main skill file (~476 lines, 8 phases + pre-flight & customer discovery)
│ └── references/ # Supporting documents loaded on demand
│ ├── research-principles.md
│ ├── research-scaling.md
│ ├── research-wave-1-market.md
│ ├── research-wave-2-competitors.md
│ ├── research-wave-3-customers.md
│ ├── research-wave-4-distribution.md
│ ├── research-synthesis.md
│ ├── verification-agent.md
│ ├── customer-interview.md
│ ├── intake-questions.md
│ ├── output-specs.md
│ ├── frameworks.md
│ ├── industry-benchmarks.md
│ ├── honesty-protocol.md
│ └── output-guidelines.md
├── startup-competitors/ # Skill: startup:startup-competitors
│ ├── SKILL.md # Main skill file (~268 lines, 3 waves)
│ └── references/
│ ├── research-principles.md
│ ├── research-scaling.md
│ ├── research-wave-1-profiles-pricing.md
│ ├── research-wave-2-sentiment-mining.md
│ ├── research-wave-3-gtm-signals.md
│ ├── research-synthesis.md
│ ├── verification-agent.md
│ └── honesty-protocol.md
├── startup-positioning/ # Skill: startup:startup-positioning
│ ├── SKILL.md # Main skill file (~302 lines, 2 waves)
│ └── references/
│ ├── research-principles.md
│ ├── research-scaling.md
│ ├── research-wave-1-alternatives.md
│ ├── research-wave-2-market-frame.md
│ ├── research-synthesis.md
│ ├── verification-agent.md
│ ├── frameworks.md
│ └── honesty-protocol.md
├── startup-pitch/ # Skill: startup:startup-pitch
│ ├── SKILL.md # Main skill file (~424 lines, 2 waves)
│ └── references/
│ ├── research-principles.md
│ ├── research-scaling.md
│ ├── research-wave-1-audience-narrative.md
│ ├── research-wave-2-competitive-framing.md
│ ├── research-synthesis.md
│ ├── verification-agent.md
│ ├── pitch-frameworks.md
│ └── honesty-protocol.md
├── CLAUDE.md
├── AGENTS.md
├── CONTRIBUTING.md
├── LICENSE
└── README.md
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 · 211 lines · 2,416 tokens per session scan A 94a45832afd0
startup-skill AGENTS.md is an instructions file published in the GitHub repository ferdinandobons/startup-skill (875 stars, last pushed 2mo ago), licensed MIT. It adds 2,416 tokens to every session, about $0.0121 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 2026-08-30.
Other instructions, from other repositories
reddit-research-mcp CLAUDE.md
Claude Code instructions for dialog-tools/reddit-research-mcp, covering reddit research mcp server - development guide, project overview, key files, releasing new versions and automated release process.
competitive-intelligence-radar CLAUDE.md
Instructions for sabahudin-web/competitive-intelligence-radar, covering claude.md, what this project is, first thing to do in a fresh checkout, architecture you must respect and hard rules (these are not optional).
agents AGENTS.md
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industry-pulse AGENTS.md
Instructions for thangnguyenworkspace/industry-pulse, covering agents.md, what this is, architecture, how to navigate and run it.
competitive-intelligence CLAUDE.md
Instructions for Laksh-star/competitive-intelligence, covering claude.md, project overview, development commands, setup and edit .env with your api keys and database url.
minds-mcp GEMINI.md
Instructions for minds-ai-co/minds-mcp: Use the Minds MCP tools for evidence-grounded synthetic market research: build audiences, run panel studies, compare segments, inspect disagreement, and export results.