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/spica-engine/spica/claude-mdgit clone --depth 1 https://github.com/spica-engine/spicaWrote 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/spica-engine/spica/claude-md)<a href="https://agentmods.dev/instructions/spica-engine/spica/claude-md"><img src="https://agentmods.dev/badge/instructions/spica-engine/spica/claude-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 | $0.02173 | $0.02173 |
| Opus 5 | $0.01086 | $0.01086 |
| Sonnet 5 | $0.00435 | $0.00435 |
| Haiku 4.5 | $0.00217 | $0.00217 |
Grade A, and why
spica CLAUDE.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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 152 lines · 2,173 tokens per session scan A 70f5d7a6f932
spica CLAUDE.md is an instructions file published in the GitHub repository spica-engine/spica (100 stars, last pushed 10d ago), licensed AGPL-3.0. It adds 2,173 tokens to every session, about $0.0109 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.
Other instructions, from other repositories
angular AGENTS.md
AGENTS.md instructions for angular/angular, covering environment, key documentation, testing and pull requests.
mikro-orm copilot-instructions.md
Copilot instructions for mikro-orm/mikro-orm, covering mikroorm typescript orm development instructions, working effectively, environment setup, building and testing and environment reset (when pulling master).
qq-music-api AGENTS.md
AGENTS.md instructions for Rain120/qq-music-api, covering 🤖 qq music api - ai agents 指南 (agents.md), 🎯 目录, 项目概览, 项目架构 and 1. 服务端主链路.
primitives angular.instructions.md
Instructions for radix-ng/primitives, covering typescript best practices, angular best practices, components, state management and templates.
sportsdataverse-js CLAUDE.md
Instructions for sportsdataverse/sportsdataverse-js, covering claude.md — sportsdataverse (node.js) development guide, package overview, commit convention, branches and build & development commands.
webiny-js copilot-instructions.md
Copilot instructions for webiny/webiny-js, a project described as: Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built for developers at large organizations.