Superpowers is a software development methodology for coding agents that guides work from clarifying requirements through design, planning, implementation, testing, and review. It is for developers who want agents to follow a structured, test-focused process using composable skills and subagents.
Borrowing it
Nothing to install: this file belongs to obra/superpowers. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/obra/superpowers/main/GEMINI.mdgit clone --depth 1 https://github.com/obra/superpowersWrote 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/obra/superpowers/gemini-md)<a href="https://agentmods.dev/instructions/obra/superpowers/gemini-md"><img src="https://agentmods.dev/badge/instructions/obra/superpowers/gemini-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.
<a href="https://agentmods.dev/instructions/obra/superpowers/gemini-md"><img src="https://agentmods.dev/badge/instructions/obra/superpowers/gemini-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00027 | $0.00027 |
| Opus 5.5 | $0.00011 | $0.00011 |
| Sonnet 5.5 | $0.00005 | $0.00005 |
| Haiku 4.5 | $0.00003 | $0.00003 |
Grade A, and why
superpowers 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 1mo 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
5 near-identical copies found in the catalogue:
- superpowers-ml GEMINI.md — 100% identical, 0 lines differ
- superpowers-zh GEMINI.md — 100% identical, 0 lines differ
- codex-superpowers GEMINI.md — 100% identical, 0 lines differ
- beads-superpowers GEMINI.md — 100% identical, 0 lines differ
- superpowers-deepseek-v4 GEMINI.md — 88% identical, 1 lines differ
What it actually says
@./skills/using-superpowers/SKILL.md @./skills/using-superpowers/references/gemini-tools.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.
- 1mo ago First seen · 3 lines · 27 tokens per session scan A 0823da8b7277
superpowers GEMINI.md is an instructions file published in the GitHub repository obra/superpowers (299,875 stars, last pushed 6d ago), licensed MIT. It adds 27 tokens to every session, about $0.0001 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.
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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langchain AGENTS.md
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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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).