What is hackfish AGENTS.md?

A set of instructions for simulating a hackathon with participant, mentor, and judge agents, using patterns found in more than 260 past hackathons.

Use it to create simulated hackathon teams, choose agent roles and seniority levels, and evaluate ideas against patterns from areas such as healthcare, Web3, climate, and education.

It gives coding agents a defined cast and practical guidance for judging or improving hackathon ideas instead of making up an approach each time.

How Spirizeon/hackfish configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to Spirizeon/hackfish. 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/Spirizeon/hackfish/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/Spirizeon/hackfish

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/spirizeon/hackfish/agents-md/github.svg)](https://agentmods.dev/instructions/spirizeon/hackfish/agents-md)

Your own site

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

Per session 6,358 This file is loaded in full into every session.

When invoked 6,358 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	$0.06358	$0.06358
Opus 5.5	$0.02543	$0.02543
Sonnet 5.5	$0.01272	$0.01272
Haiku 4.5	$0.00636	$0.00636

Measured 2mo ago against content hash 6c35480e5570, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hackfish 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 · 669 lines

How it starts

The opening of the file, as written. The whole thing — 669 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hackathon Simulation — Agent Types

Defines the three agent archetypes (participant, mentor, judge), their seniority tiers, tools, system prompts, and how to generate the cast.

See SKILLS.md for how to spawn and run.

Winning Patterns from Knowledge Base (260+ Hackathons)

Based on analysis of actual hackathon winners:

Pattern	Domains	Why It Wins
AI Agents	All (esp. Web3, AI/ML)	2024-2025 dominant - automation + LLM integration
Sponsor Integration	Web3, FinTech, AI/ML	#1 predictor - winners use 2+ sponsor APIs
Real-world Impact	Healthcare, Civic, Climate	Solves actual problems, not just tech demos
Accessibility	Healthcare, Civic, EdTech	High impact, clear user need
Non-developer + AI	All (Claude Code example)	Domain experts with AI tools win
Edge AI / Local Inference	Healthcare, IoT	Privacy + offline capability
IoT/Sensors	Healthcare, Climate, Hardware	Real data, physical impact

Domain-Specific Winners

Healthcare: AI diagnostics, wearables, EHR integration, mental health apps
Web3/Blockchain: Account abstraction (smart wallets), ZK/privacy, consumer DeFi
FinTech: Cross-border payments, accessible banking, embedded finance
EdTech: Accessibility tools, AI tutoring, skills assessment
Climate: Carbon tracking, energy optimization, agriculture tech

Quick Reference

Role	Purpose	Tick Active	MCP
`participant`	Builds and pitches projects	1-48	Brave Search (if junior)
`mentor`	Guides, probes, refines, VERIFIES between ticks	1-48	Brave Search (always)
`judge`	Scores, debates, selects	47-48	Brave Search (always)

Shared Tools

`broadcast_message`

{
  name: "broadcast_message",
  description: "Broadcast a message to all hackathon participants.",
  inputSchema: {
    type: "object",
    properties: {
      content: { type: "string", description: "Message to broadcast" },
    },
    required: ["content"],
  },
  async execute(input, ctx) { broadcastToAll(ctx, input.content); },
}

Read the full file on GitHub · 669 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 · 669 lines · 6,358 tokens per session scan A 6c35480e5570

Subscribe to this mod's changes

hackfish AGENTS.md is an instructions file published in the GitHub repository Spirizeon/hackfish (12 stars, last pushed 6mo ago), licensed MIT. It adds 6,358 tokens to every session, about $0.0254 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 2026-08-30.

Building agents hackathon harness skill-md swarm-intelligence

hackfish AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
hackfish AGENTS.mdSpirizeon/hackfish	Instructions file	12	6mo ago	MIT	A	6,358	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

hackfish: Instructions file for Codex