Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
Plan and evaluate mesh generation for numerical simulations.
No licenceAuto-check: notes
Install Mesh Generation
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill mesh-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills mesh-generation --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/mesh-generation .claude/skills/mesh-generation && 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 "mesh-generation" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation into .claude/skills/mesh-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mesh-generation", 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/mesh-generationType 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 mesh-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills mesh-generation --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/mesh-generation .agents/skills/mesh-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mesh-generation" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation into .agents/skills/mesh-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mesh-generation", 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 mesh-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills mesh-generation --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/mesh-generation .cursor/skills/mesh-generation && 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 "mesh-generation" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation into .cursor/skills/mesh-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mesh-generation", 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/mesh-generation--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 mesh-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills mesh-generation --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/mesh-generation .gemini/skills/mesh-generation && 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 "mesh-generation" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation into .gemini/skills/mesh-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mesh-generation", 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 mesh-generationInstalls 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 mesh-generation -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/mesh-generation .github/skills/mesh-generation && 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 "mesh-generation" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation into .github/skills/mesh-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mesh-generation", 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 mesh-generation -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 mesh-generation --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/mesh-generation .opencode/skills/mesh-generation && 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 "mesh-generation" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation into .opencode/skills/mesh-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mesh-generation", 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
mesh-generation- GitHub stars
- 3.1k
- Used in
- 1 other repo
- Token cost
- ~1.1k tokens
- SKILL.md length
- 393 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 173
- Repo updated
- First seen
- Licence
- None found
At a glance
Plan and evaluate mesh generation for numerical simulations.
- Works in 5 steps: Estimate resolution - From physics scales → Compute grid sizing - Run… → Check quality metrics - Run… → …
- Choosing grid resolution
- SKILL.md covers Goal, Requirements, Inputs to Gather and Decision Guidance, plus 10 more sections
- Runs Python scripts from its folder; calls python3
What it does
Mesh Generation is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Plan and evaluate mesh generation for numerical simulations. Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh quality constraints, or planning adaptive mesh refinement for PDE discretization.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/mesh_types.md`, `references/quality_metrics.md` and `scripts/grid_sizing.py`).
The repository describes itself as: The largest open-source medical AI skills library for OpenClaw🦞.
When your agent uses it
- Choosing grid resolution
- Checking aspect ratios/skewness
- Estimating mesh quality constraints
- Planning adaptive mesh refinement for PDE discretization
Example prompts
- “/mesh-generation”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Bash, Write, Grep, Glob
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Estimate resolution - From physics scales
- Compute grid sizing - Run scripts/grid_sizing.py
- Check quality metrics - Run scripts/mesh_quality.py
- Adjust if needed - Fix aspect ratios, reduce skewness
- Validate - Mesh convergence study
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 2 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
Mesh Generation loads about 1.1k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 393 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 393 words (~1,141 tokens).
“Provide a consistent workflow for selecting mesh resolution and checking mesh quality for PDE simulations.”
- name
- mesh-generation
- allowed-tools
- Read, Bash, Write, Grep, Glob
Files
SKILL.md and 4 other files (scripts, references) in skills/mesh-generation of FreedomIntelligence/OpenClaw-Medical-Skills.
- SKILL.md
- references/mesh_types.md
- references/quality_metrics.md
- scripts/grid_sizing.py
- scripts/mesh_quality.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
Mesh Generation 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 |
|---|---|---|---|---|---|---|
| Mesh Generation this skillFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~1.1k | Automated safety check: Notes | None | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 2 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Agent Evaluation Reportingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
- Official
LLM Evaluation
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
Agent Evaluation
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers.
Evaluators
Arize-ai/phoenix
Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.
Agent Evaluation Reporting
sickn33/agentic-awesome-skills
A skill your agent uses when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
Agent Mesh Coordinator
ruvnet/ruflo
Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator
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Questions about Mesh Generation
What does Mesh Generation do?
Plan and evaluate mesh generation for numerical simulations. Mesh Generation is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Plan and evaluate mesh generation for numerical simulations.
When should I use Mesh Generation?
Mesh Generation fits situations like: choosing grid resolution; checking aspect ratios/skewness; estimating mesh quality constraints; planning adaptive mesh refinement for PDE discretization.
How do I install Mesh Generation in Claude Code?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill mesh-generation -a claude-code`. Or copy the skill folder (skills/mesh-generation in FreedomIntelligence/OpenClaw-Medical-Skills) into .claude/skills/mesh-generation in your project. Claude Code loads it when a task matches its description.
How do I install Mesh Generation in Codex?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill mesh-generation -a codex`. Or copy the skill folder (skills/mesh-generation in FreedomIntelligence/OpenClaw-Medical-Skills) into .agents/skills/mesh-generation in your project. Codex loads it when a task matches its description.
Can I use Mesh Generation 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 mesh-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mesh-generation, .gemini/skills/mesh-generation, .github/skills/mesh-generation and .opencode/skills/mesh-generation in your project.
What does Mesh Generation need to run?
Going by SKILL.md and its folder, Mesh Generation 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 Mesh Generation 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 Mesh Generation 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 Mesh Generation use?
No licence was found for Mesh Generation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Mesh Generation use?
About 1.1k tokens (SKILL.md is roughly 4.6k 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 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Mesh Generation?
Skills that share tags, products or a category with Mesh Generation: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mesh Generation?
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.