Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
[OMX] Run an evaluator-gated performance optimization workflow over Codex goal mode with durable OMX artifacts and safe goal handoffs.
$ npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yangyuan-zhen/PolyWeather performance-goal --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/performance-goal .claude/skills/performance-goal && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "performance-goal" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/performance-goal into .claude/skills/performance-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-goal", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/performance-goalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yangyuan-zhen/PolyWeather performance-goal --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/performance-goal .agents/skills/performance-goal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performance-goal" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/performance-goal into .agents/skills/performance-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-goal", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yangyuan-zhen/PolyWeather performance-goal --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/performance-goal .cursor/skills/performance-goal && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performance-goal" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/performance-goal into .cursor/skills/performance-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-goal", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yangyuan-zhen/PolyWeather.git --path .codex/skills/performance-goal--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yangyuan-zhen/PolyWeather performance-goal --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/performance-goal .gemini/skills/performance-goal && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performance-goal" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/performance-goal into .gemini/skills/performance-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-goal", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yangyuan-zhen/PolyWeather performance-goalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/performance-goal .github/skills/performance-goal && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performance-goal" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/performance-goal into .github/skills/performance-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-goal", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yangyuan-zhen/PolyWeather performance-goal --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/performance-goal .opencode/skills/performance-goal && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performance-goal" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/performance-goal into .opencode/skills/performance-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-goal", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
performance-goal[OMX] Run an evaluator-gated performance optimization workflow over Codex goal mode with durable OMX artifacts and safe goal handoffs.
Performance Goal is an agent skill from yangyuan-zhen/PolyWeather. [OMX] Run an evaluator-gated performance optimization workflow over Codex goal mode with durable OMX artifacts and safe goal handoffs.
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Performance optimization. The repository describes itself as: polymarket Intelligent Weather Quant Analysis Bot. The licence is AGPL-3.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 43e658b. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Performance Goal loads about 890 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 348 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from yangyuan-zhen/PolyWeather at commit 43e658b, republished under its AGPL-3.0 licence (© yangyuan-zhen). 348 words, ~890 tokens.
.claude/skills/performance-goal/SKILL.md (or your agent's skills folder).Use this skill when a user asks OMX to optimize performance and wants a goal-oriented loop rather than a one-off review.
.omx/goals/performance/<slug>/.update_goal({status: "complete"}) until the evaluator has a passing checkpoint and a completion audit proves the objective is done; then call get_goal again and pass that fresh snapshot to omx performance-goal complete --codex-goal-json.Create the workflow and evaluator contract:
omx performance-goal create \
--objective "Reduce CLI startup latency by 20%" \
--evaluator-command "npm run perf:startup" \
--evaluator-contract "PASS when p95 latency improves by 20% and regression tests pass" \
--slug startup-latencyEmit the Codex goal handoff:
omx performance-goal start --slug startup-latencyRecord evaluator evidence:
omx performance-goal checkpoint --slug startup-latency --status pass --evidence "benchmark + tests passed"
omx performance-goal checkpoint --slug startup-latency --status fail --evidence "benchmark regressed"
omx performance-goal checkpoint --slug startup-latency --status blocked --evidence "missing fixture"Complete only after a passing checkpoint:
omx performance-goal complete --slug startup-latency --evidence "final evaluator evidence" --codex-goal-json <get_goal-json-or-path>omx performance-goal create if no workflow exists.omx performance-goal start and follow the handoff:get_goal;create_goal only when no active goal exists and the objective is explicit;update_goal({status: "complete"}), call get_goal again, and pass that snapshot to omx performance-goal complete --codex-goal-json;omx performance-goal complete succeeds, run /goal clear in the Codex UI before starting another goal in this same thread/session; OMX prints this terminal cleanup step but does not invoke hidden clear routes;checkpoint.A performance goal is incomplete unless .omx/goals/performance/<slug>/state.json contains a lastValidation.status of pass and omx performance-goal complete receives a matching complete Codex get_goal snapshot via --codex-goal-json. Passing ordinary tests alone is not sufficient unless they are the declared evaluator contract.
Lifecycle: create_goal starts the Codex thread goal, update_goal({status: "complete"}) marks terminal success after the evaluator and audit pass, and /goal clear removes the completed thread goal when another same-thread goal is needed. OMX shell commands and hooks reconcile snapshots and print the cleanup instruction; they must not mutate hidden Codex goal state.
© yangyuan-zhen, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .codex/skills/performance-goal of yangyuan-zhen/PolyWeather.
Open the folder on GitHubat commit 43e658b
Performance Goal next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performance Goal this skillyangyuan-zhen/PolyWeather | 316 | — | ~890 | Automated safety check: Pass | AGPL-3.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Cmux Debugging Guidemanaflow-ai/cmux | 28k | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Analyzing .NET Performancedotnet/skills | 5.6k | 3 repos | ~3.1k | Automated safety check: Pass | MIT |
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
crazyguitar/pysheeet
Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC.
manaflow-ai/cmux
Covers debug logging, the Debug menu, profiling rules and runtime pitfalls for working on the cmux macOS terminal app.
dotnet/skills
Scans C# and .NET code for about 50 performance anti-patterns and reports prioritized findings with concrete fixes, at a scan depth you choose.
keybase/client
Analyzes V8, Chrome and Electron .heapsnapshot files with Node scripts to find memory leaks, detached DOM nodes and the retainer paths that keep objects alive.
yangyuan-zhen/PolyWeather
[OMX] Run an anti-slop cleanup/refactor/deslop workflow. An agent skill from yangyuan-zhen/PolyWeather.
yangyuan-zhen/PolyWeather
[OMX] Run read-only deep repository analysis and return a ranked synthesis with explicit confidence, concrete file references, and clear evidence-vs-inference boundaries.
yangyuan-zhen/PolyWeather
[OMX] Stateful validator-gated research loop with native-hook persistence
yangyuan-zhen/PolyWeather
[OMX] Bounded best-practice research wrapper using official/upstream evidence first
yangyuan-zhen/PolyWeather
[OMX] Cancel any active OMX mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline, team)
yangyuan-zhen/PolyWeather
[OMX] Configure OMX notifications - unified entry point for all platforms
Categories
[OMX] Run an evaluator-gated performance optimization workflow over Codex goal mode with durable OMX artifacts and safe goal handoffs. Performance Goal is an agent skill from yangyuan-zhen/PolyWeather. [OMX] Run an evaluator-gated performance optimization workflow over Codex goal mode with durable OMX artifacts and safe goal handoffs.
Performance Goal fits situations like: tasks that involve Performance optimization.
Run `npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a claude-code`. Or copy the skill folder (.codex/skills/performance-goal in yangyuan-zhen/PolyWeather) into .claude/skills/performance-goal in your project. Claude Code loads it when a task matches its description.
Run `npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a codex`. Or copy the skill folder (.codex/skills/performance-goal in yangyuan-zhen/PolyWeather) into .agents/skills/performance-goal in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yangyuan-zhen/PolyWeather --skill performance-goal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performance-goal, .gemini/skills/performance-goal, .github/skills/performance-goal and .opencode/skills/performance-goal in your project.
SKILL.md names no scripts, command-line tools or credentials: Performance Goal is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Performance Goal is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 890 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Performance Goal: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
yangyuan-zhen (a GitHub user) maintains it in yangyuan-zhen/PolyWeather, which has 316 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 20, 2026.
Source: yangyuan-zhen/PolyWeather on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.