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.
Agent skill
Performance Profiling
by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation.
Install Performance Profiling
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills performance-profiling --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/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performance-profiling .claude/skills/performance-profiling && 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-profiling" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling into .claude/skills/performance-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-profiling", 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/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profilingType 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills performance-profiling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performance-profiling .agents/skills/performance-profiling && 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-profiling" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling into .agents/skills/performance-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-profiling", 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills performance-profiling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performance-profiling .cursor/skills/performance-profiling && 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-profiling" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling into .cursor/skills/performance-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-profiling", 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/FreedomIntelligence/OpenClaw-Medical-Skills.git --path skills/performance-profiling--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 FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills performance-profiling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performance-profiling .gemini/skills/performance-profiling && 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-profiling" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling into .gemini/skills/performance-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-profiling", 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 FreedomIntelligence/OpenClaw-Medical-Skills performance-profilingInstalls 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performance-profiling .github/skills/performance-profiling && 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-profiling" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling into .github/skills/performance-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-profiling", 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills performance-profiling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performance-profiling .opencode/skills/performance-profiling && 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-profiling" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling into .opencode/skills/performance-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-profiling", 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.
Facts
- Skill name
performance-profiling- GitHub stars
- 3.1k
- Used in
- 1 other repo
- Token cost
- ~2k tokens
- SKILL.md length
- 591 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 173
- Repo updated
- First seen
- Licence
- None found
At a glance
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation.
- Works in 6 steps: Analyze timing from simulation logs → Analyze scaling from multi-run data (if… → Profile memory from simulation parameters → …
- Simulations are slow
- SKILL.md covers Goal, Requirements, Inputs to Gather and Decision Guidance, plus 9 more sections
- Runs Python scripts from its folder; calls python3
What it does
Performance Profiling is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/optimization_strategies.md`, `references/profiling_guide.md` and `scripts/bottleneck_detector.py`).
It sits in Development, covering Performance optimization. The repository describes itself as: The largest open-source medical AI skills library for OpenClaw🦞.
When your agent uses it
- Simulations are slow
- Investigating parallel efficiency
- Planning resource allocation
- Seeking performance improvements through timing analysis
Example prompts
- “/performance-profiling”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Bash, Write, Grep, Glob
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Analyze timing from simulation logs
- Analyze scaling from multi-run data (if available)
- Profile memory from simulation parameters
- Detect bottlenecks and get recommendations
- Implement optimizations based on recommendations
- Re-profile to verify improvements
What it can do on your machine
Read from SKILL.md and the folder at commit b1f9b6e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashWriteGrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 4 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Performance Profiling loads about 2k tokens when it runs, and up to ~7.8k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 591 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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Bash, Write, Grep, Glob
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 591 words (~1,996 tokens).
“Provide tools to analyze simulation performance, identify bottlenecks, and recommend optimization strategies for computational materials science simulations.”
- name
- performance-profiling
- allowed-tools
- Read, Bash, Write, Grep, Glob
Files
SKILL.md and 6 other files (scripts, references) in skills/performance-profiling of FreedomIntelligence/OpenClaw-Medical-Skills.
- SKILL.md
- references/optimization_strategies.md
- references/profiling_guide.md
- scripts/bottleneck_detector.py
- scripts/memory_profiler.py
- scripts/scaling_analyzer.py
- scripts/timing_analyzer.py
Open the folder on GitHubat commit b1f9b6e
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in FreedomIntelligence/OpenClaw-Medical-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Performance Profiling 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 Profiling this skillFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2k | Automated safety check: Notes | None | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 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 | |
| Electron Heap Snapshot Analysiskeybase/client | 9.3k | — | ~875 | Automated safety check: Pass | BSD-3-Clause |
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Related
Categories
Questions about Performance Profiling
What does Performance Profiling do?
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Performance Profiling is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation.
When should I use Performance Profiling?
Performance Profiling fits situations like: simulations are slow; investigating parallel efficiency; planning resource allocation; seeking performance improvements through timing analysis.
How do I install Performance Profiling in Claude Code?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a claude-code`. Or copy the skill folder (skills/performance-profiling in FreedomIntelligence/OpenClaw-Medical-Skills) into .claude/skills/performance-profiling in your project. Claude Code loads it when a task matches its description.
How do I install Performance Profiling in Codex?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -a codex`. Or copy the skill folder (skills/performance-profiling in FreedomIntelligence/OpenClaw-Medical-Skills) into .agents/skills/performance-profiling in your project. Codex loads it when a task matches its description.
Can I use Performance Profiling in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill performance-profiling -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-profiling, .gemini/skills/performance-profiling, .github/skills/performance-profiling and .opencode/skills/performance-profiling in your project.
What does Performance Profiling need to run?
Going by SKILL.md and its folder, Performance Profiling needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash, Write, Grep, Glob.
Does Performance Profiling access the network?
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.
Is Performance Profiling safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Performance Profiling use?
No licence was found for Performance Profiling or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Performance Profiling use?
About 2k tokens (SKILL.md is roughly 8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.8k tokens, read only when the agent opens those files.
What are the alternatives to Performance Profiling?
Skills that share tags, products or a category with Performance Profiling: 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.
Who maintains Performance Profiling?
FreedomIntelligence (a GitHub organization) maintains it in FreedomIntelligence/OpenClaw-Medical-Skills, which has 3,051 GitHub stars. The repository holds 173 skills in this directory. The repository was last updated on July 21, 2026.
Source: FreedomIntelligence/OpenClaw-Medical-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.