Creator · obra
Last updated · Sep 1, 2026
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Install targets
Codex install prompt
Install the "requesting-code-review" agent skill from https://github.com/obra/superpowers/tree/main/skills/requesting-code-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when completing tasks, implementing major features, or before merging to verify work meets requirements After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"obra-requesting-code-review","task":"Install requesting-code-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add obra/superpowers --skill requesting-code-review
Maintenance
fresh
7d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
280K
95/100 Quality · 86/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
280K GitHub stars
Repo activity
280K stars, 25K forks
Maintenance
7d since push
License
MIT
Install
npx skills add obra/superpowers --skill requesting-code-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add obra/superpowers --skill requesting-code-reviewDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20requesting-code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20requesting-code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/obra-requesting-code-review/install
Agent should check
Copy prompt
Task: Use requesting-code-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20requesting-code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/obra-requesting-code-review/install
Install command: npx skills add obra/superpowers --skill requesting-code-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/obra-requesting-code-review/install
LLM text format
/api/skills/obra-requesting-code-review/install?format=text
Find alternatives
/api/skills/search?q=requesting-code-review&limit=3
Agent prompt
Use requesting-code-review for this task. Review https://www.openagentskill.com/api/skills/obra-requesting-code-review/install, then install with: npx skills add obra/superpowers --skill requesting-code-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/obra-requesting-code-review
LLM text
/api/registry/manifest/obra-requesting-code-review?format=text
Install alias
/api/registry/install/obra-requesting-code-review
Recommend
/api/registry/recommend?task=Use%20requesting-code-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS280K GitHub stars
Stars/forks activity
PASS280K stars, 25K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: requesting-code-review description: Use when completing tasks, implementing major features, or before merging to verify work meets requirements ---
# 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:** ```bash BASE_SHA=$(git rev-parse HEAD~1) # or origin/main HEAD_SHA=$(git rev-parse HEAD) ```
**2. Dispatch code reviewer subagent:**
Dispatch a `general-purpose` subagent, filling the template at [code-reviewer.md](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 | awk '{print $1}') HEAD_SHA=$(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. |
## Red Flags
**Never:** - Skip review because "it's simple" - Ignore Critical issues - Proceed with unfixed Important issues - Argue with valid technical feedback
**If reviewer wrong:** - Push back with technical reasoning - Show code/tests that prove it works - Request clarification
See template at: [code-reviewer.md](code-reviewer.md)
Source provenance
Decision snapshot
280,439 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for requesting-code-review, ready for a manual X post.
requesting-code-review: Use when completing tasks, implementing major features, or before merging to verify work meet... 280.4K stars https://www.openagentskill.com/skills/obra-requesting-code-review?ref=x
Listing + install path for requesting-code-review: https://www.openagentskill.com/skills/obra-requesting-code-review?ref=x Install: npx skills add obra/superpowers --skill requesting-code-review
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to obra but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Review then install
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Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness