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.
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 skills add obra/superpowers --skill requesting-code-reviewgit 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/skills/obra/superpowers/requesting-code-review)<a href="https://agentmods.dev/skills/obra/superpowers/requesting-code-review"><img src="https://agentmods.dev/badge/skills/obra/superpowers/requesting-code-review/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/skills/obra/superpowers/requesting-code-review"><img src="https://agentmods.dev/badge/skills/obra/superpowers/requesting-code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00688 |
| Opus 5.5 | $0.00009 | $0.00275 |
| Sonnet 5.5 | $0.00004 | $0.00138 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
requesting-code-review 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 6d 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
8 near-identical copies found in the catalogue:
- requesting-code-review — 100% identical, 4 lines differ
- requesting-code-review — 100% identical, 0 lines differ
- requesting-code-review — 100% identical, 91 lines differ
- requesting-code-review — 100% identical, 0 lines differ
- requesting-code-review — 100% identical, 0 lines differ
- requesting-code-review — 100% identical, 4 lines differ
- requesting-code-review — 100% identical, 4 lines differ
- requesting-code-review — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requesting Code Review
Dispatch a code reviewer subagent to catch issues before they cascade. The reviewer gets precisely crafted context for evaluation — never your session's history.
Core principle: Review early, review often.
When to Request Review
Mandatory:
- After each task in subagent-driven development
- After completing major feature
- Before merge to main
Optional but valuable:
- When stuck (fresh perspective)
- Before refactoring (baseline check)
- After fixing complex bug
How to Request
1. Get git SHAs:
BASE_SHA=$(git rev-parse HEAD~1) # or: git merge-base origin/main HEAD
HEAD_SHA=$(git rev-parse HEAD)
2. Dispatch code reviewer subagent:
Dispatch a general-purpose subagent, filling the template at code-reviewer.md
Placeholders:
{DESCRIPTION}- Brief summary of what you built{PLAN_OR_REQUIREMENTS}- What it should do{BASE_SHA}- Starting commit{HEAD_SHA}- Ending commit
3. Act on feedback:
- Fix Critical issues immediately
- Fix Important issues before proceeding
- Note Minor issues for later
- Push back if reviewer is wrong (with reasoning)
Example
[Just completed Task 2: Add verification function]
You: Let me request code review before proceeding.
BASE_SHA=$(git log --oneline | grep "Task 1" | head -1 | cut -d' ' -f1)
HEAD_SHA=$(git rev-parse HEAD)
[Dispatch code reviewer subagent]
DESCRIPTION: Added verifyIndex() and repairIndex() with 4 issue types
PLAN_OR_REQUIREMENTS: Task 2 from docs/superpowers/plans/deployment-plan.md
BASE_SHA: a7981ec
HEAD_SHA: 3df7661
[Subagent returns]:
Strengths: Clean architecture, real tests
Issues:
Important: Missing progress indicators
Minor: Magic number (100) for reporting interval
Assessment: Ready to proceed
You: [Fix progress indicators]
[Continue to Task 3]
Common Rationalizations
| Excuse | Reality |
|---|---|
| "I'll just review the diff myself instead of dispatching a reviewer" | You're the coordinator — reviewing the diff inline burns the context window you need to keep driving the work. Dispatch a reviewer subagent: the diff and the evaluation live in its context, and only the findings come back to you. |
| "The reviewer needs my whole session history to understand the change" | Hand it precisely crafted context, never your session's history. That keeps the reviewer on the work product, not your thought process. |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago Changed 2180e14a448e
- 27d ago Changed cfcee1b06774
- 1mo ago First seen · 96 lines · 22 tokens per session scan A d71cc01ba56d
requesting-code-review is a skill published in the GitHub repository obra/superpowers (300,676 stars, last pushed 7d ago), licensed MIT. It adds 22 tokens to every session and 688 once invoked, 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.
Other skills, from other repositories
review-resolution
You MUST use this when code-review findings, PR comments, CI review output, or reviewer suggestions need technical validation before any fix or disposition, including feedback from human reviewers, subagents, GitHub, static-analysis tools, or external review systems.
verification-gate
You MUST use this when work is about to be called complete, done, fixed, ready, or mergeable - before a completion claim, a merge or pull request, a branch finish, or a handoff report.
cross-review
You MUST use this when an implementation plan or a finished implementation needs an independent review by the other agent CLI - Codex reviewing work done in Claude Code, Claude Code reviewing work done in Codex, or Antigravity (Gemini) on explicit request - whether the user asks for a cross-review or a second opinion…
review-request
You MUST use this when a completed or partially committed implementation needs an independent code review against explicit requirements, a defined task scope, and the actual Git diff, including committed and working-tree changes.
code-review-and-quality
Runs code review as a change-management process — right-sizing the diff, labeling findings by required-vs-optional severity, applying structural remedies for complexity, and resolving reviewer/author disagreements. Use when a change needs splitting before review, when review comments need severity labels, when a…
coding-standards
Cross-language code-quality heuristics -- function size, nesting depth, magic numbers, comment intent, naming -- for reviewing or writing code in any language. Use when reviewing code for maintainability, setting up lint rules, or onboarding conventions. For Go-specific idioms use go-service-idioms, for API contracts…