metaswarm GEMINI.md

metaswarm GEMINI.md is an instructions file for Gemini CLI from dsifry/metaswarm. It costs 548 tokens per session, scanned A, original, MIT.

Instructions for Metaswarm, a software-development system that coordinates specialized agents and requires checks such as TDD, or writing tests before implementation.

In plain words
What is it for?
Starting tracked tasks, loading project knowledge, reviewing designs, shepherding pull requests through merging, handling review comments, creating issues, configuring the system, and running diagnostics.
Why use it?
It gives developers a defined workflow for starting work, reviewing designs, checking progress, and handling pull requests instead of managing each step manually.

Instructions file for Gemini CLI

Install

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.

agentmods
npx agentmods add instructions/dsifry/metaswarm/gemini-md
Clone the repo
git clone --depth 1 https://github.com/dsifry/metaswarm

Made for: Gemini CLI.

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.

agentmods badge for metaswarm GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dsifry/metaswarm/gemini-md.svg)](https://agentmods.dev/instructions/dsifry/metaswarm/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/dsifry/metaswarm/gemini-md"><img src="https://agentmods.dev/badge/instructions/dsifry/metaswarm/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 548 This file is loaded in full into every session.
When invoked 548 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00548 $0.00548
Opus 5 $0.00274 $0.00274
Sonnet 5 $0.00110 $0.00110
Haiku 4.5 $0.00055 $0.00055

Measured 4d ago against content hash 29367cfa05ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

metaswarm GEMINI.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 4d 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.

GEMINI.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

metaswarm

Multi-agent orchestration framework for software development. 18 specialized agents, 14 skills, quality gates, TDD enforcement.

Getting Started

Run /metaswarm:start-task to begin tracked work, or /metaswarm:setup to configure metaswarm for this project.

Available Commands

Command Purpose
/metaswarm:start-task Begin tracked work on a task
/metaswarm:prime Load relevant knowledge before starting
/metaswarm:review-design Trigger design review gate (5 reviewers)
/metaswarm:pr-shepherd Monitor a PR through to merge
/metaswarm:self-reflect Extract learnings after a PR merge
/metaswarm:handle-pr-comments Handle PR review comments
/metaswarm:brainstorm Refine an idea before implementation
/metaswarm:create-issue Create a well-structured GitHub Issue
/metaswarm:external-tools-health Check status of external AI tools
/metaswarm:setup Interactive guided setup
/metaswarm:status Run diagnostic checks

Workflow

For complex features, describe what you want with a Definition of Done and say: Use the full metaswarm orchestration workflow.

This runs: Research -> Plan -> Design Review Gate -> Work Unit Decomposition -> Orchestrated Execution (4-phase loop per unit) -> Final Review -> PR.

Quality Gates (MANDATORY)

  • After brainstorming -> MUST run /metaswarm:review-design before planning
  • After any plan -> MUST run Plan Review Gate before presenting to user
  • Before finishing branch -> MUST run /metaswarm:self-reflect before PR
  • Coverage -> .coverage-thresholds.json is the single source of truth. BLOCKING gate.
  • TDD is mandatory -> Write tests first, watch them fail, then implement

Rules

  • NEVER use --no-verify on git commits
  • NEVER use git push --force without explicit user approval
  • ALWAYS follow TDD
  • STAY within declared file scope

Platform Notes

Gemini CLI has limited sub-agent support. When sub-agents are unavailable:

  • Design review runs sequentially (each reviewer in-session one at a time)
  • Adversarial review uses rubrics as structured checklists
  • Quality of review is maintained through rubric structure

Read the full file on GitHub · 55 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.

  1. 4d ago First seen · 55 lines · 548 tokens per session scan A 29367cfa05ef

Subscribe to this mod's changes

metaswarm GEMINI.md is an instructions file published in the GitHub repository dsifry/metaswarm (407 stars, last pushed 2mo ago), licensed MIT. It adds 548 tokens to every session, about $0.0027 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.

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