independent-review

Incorporate feedback from an independent code reviewer to improve your solution. The reviewer is a different agent that analyzed your work.

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Repository: benchflow-ai/benchflow
Last source activity: June 3, 2026 at 05:51
Detected SKILL.md language: English
Stars: 355
Forks: 74

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SKILL.md

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name: independent-review
description: Incorporate feedback from an independent code reviewer to improve your solution. The reviewer is a different agent that analyzed your work.

# Independent Review Skill When an independent reviewer provides feedback on your code, incorporate it effectively. ## Process 1. Read the reviewer's feedback carefully 2. Identify each specific issue raised 3. Fix only what the reviewer flagged — don't refactor unrelated code 4. If the reviewer says the code is correct, don't make unnecessary changes 5. Verify your fixes address each point ## When reviewer finds bugs - Fix each bug the reviewer identified - Add edge case handling if reviewer pointed out missing cases - Test mentally that the fix resolves the specific issue ## When reviewer approves - Acknowledge the positive review - Do NOT introduce unnecessary changes to working code - "If it ain't broke, don't fix it"

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benchflow

Run agent benchmarks, create tasks, analyze results, and manage agents using BenchFlow. Use when asked to benchmark an AI coding agent, run a benchmark suite, create tasks, view trajectories, or compare agent performance.

2026-09-20

benchflow-experiment-review

Review Benchflow or SkillsBench task-run trajectories and integration-test Benchflow code changes. Use this skill whenever the user asks to audit traj health, failed or timed-out runs, healthy pass/fail/timeout status, no-skill leakage, skill loading, reward hacking, verifier isolation, metadata completeness, token usage, timing, Daytona-vs-Docker parity, path/root handling, coverage gaps, Docker/Daytona failures, or release-readiness of benchmark data.

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benchflow-traj-upload-ops

Operate, test, troubleshoot, and explain `bench traj upload` for public or trusted-direct trajectory contributions, including interactive and fully specified commands, dry runs, input validation, local secret masking, trajectory reports and previews, manifest metadata, upload progress, idempotency, and production promotion checks. Use this skill when a maintainer or operator wants to test, inspect, or debug a trajectory upload; validate a trajectory, report, or manifest; or verify the public upload path end to end. For helping a contributor submit their own session, use `benchflow-traj-upload` instead.

2026-08-17

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independent-review

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