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/dsifry/metaswarm/claude-mdgit clone --depth 1 https://github.com/dsifry/metaswarmWrote 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/dsifry/metaswarm/claude-md)<a href="https://agentmods.dev/instructions/dsifry/metaswarm/claude-md"><img src="https://agentmods.dev/badge/instructions/dsifry/metaswarm/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 | $0.02687 | $0.02687 |
| Opus 5 | $0.01344 | $0.01344 |
| Sonnet 5 | $0.00537 | $0.00537 |
| Haiku 4.5 | $0.00269 | $0.00269 |
Grade C, and why
metaswarm CLAUDE.md scanned grade C with 1 finding 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- Document important architectural decisions here so agents have context. These get loaded during knowledge priming (/prime). Use `bd decision` to record decisions persistently in the beads database with rationale tra 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.
Project Instructions
This project uses metaswarm, a multi-agent orchestration framework for Claude Code. It provides 18 specialized agents, a 9-phase development workflow, and quality gates that enforce TDD, coverage thresholds, and spec-driven development.
How to Work in This Project
Starting work
/start-task
This is the default entry point. It primes the agent with relevant knowledge, guides you through scoping, and picks the right level of process for the task.
For complex features (multi-file, spec-driven)
Describe what you want built, include a Definition of Done, and ask for the full workflow:
I want you to build [description]. [Tech stack, DoD items, file scope.]
Use the full metaswarm orchestration workflow.
This triggers the full pipeline: Research → Plan → Design Review Gate → Work Unit Decomposition → Orchestrated Execution (4-phase loop per unit) → Final Review → PR.
Available Commands
| Command | Purpose |
|---|---|
/start-task |
Begin tracked work on a task |
/prime |
Load relevant knowledge before starting |
/review-design |
Trigger parallel design review gate (5 agents) |
/pr-shepherd <pr> |
Monitor a PR through to merge |
/self-reflect |
Extract learnings after a PR merge |
/handoff |
Write a self-contained handoff doc so a fresh agent can resume the work |
/handle-pr-comments |
Handle PR review comments |
/brainstorm |
Refine an idea before implementation |
/create-issue |
Create a well-structured GitHub Issue |
/external-tools-health |
Check status of external AI tools (Codex, Gemini) |
/setup |
Interactive guided setup — detects project, configures metaswarm |
/update |
Update metaswarm to latest version |
/status |
Run diagnostic checks on your installation |
/start |
Alias for /start-task |
Visual Review
Use the visual-review skill to take screenshots of web pages, presentations, or UIs for visual inspection. Requires Playwright (npx playwright install chromium). See skills/visual-review/SKILL.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.
- 5d ago First seen · 211 lines · 2,687 tokens per session scan C a155bd80021f
metaswarm CLAUDE.md is an instructions file published in the GitHub repository dsifry/metaswarm (409 stars, last pushed 2mo ago), licensed MIT. It adds 2,687 tokens to every session, about $0.0134 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.