Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection.

No licenceAuto-check: notesBusiness, Finance & HR

Install Parameter Optimization

skills CLI
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill parameter-optimization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills parameter-optimization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/parameter-optimization .claude/skills/parameter-optimization && rm -rf skills-src

Use ~/.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/

Facts

Skill name
parameter-optimization
GitHub stars
3.1k
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
392 words
Files
9 (incl. scripts, references)
Skills in repo
279
Repo updated
First seen
Licence
None found

At a glance

Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection.

  • Works in 5 steps: Generate DOE with scripts/doe_generator.py → Run simulations at DOE sample points… → Summarize sensitivity with… → …
  • Uncertainty studies
  • SKILL.md covers Goal, Requirements, Inputs to Gather and Decision Guidance, plus 8 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Parameter Optimization is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Use for calibration, uncertainty studies, parameter sweeps, LHS sampling, Sobol analysis, surrogate modeling, or Bayesian optimization setup.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/doe_methods.md`, `references/optimizer_selection.md` and `references/sensitivity_guidelines.md`).

It sits in Business, Finance & HR, covering Performance reviews. The repository describes itself as: The largest open-source medical AI skills library for OpenClaw🦞.

When your agent uses it

  • Uncertainty studies
  • Parameter sweeps
  • Surrogate modeling
  • Bayesian optimization setup

Example prompts

  • “/parameter-optimization”

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.

  1. Generate DOE with scripts/doe_generator.py
  2. Run simulations at DOE sample points (user's responsibility)
  3. Summarize sensitivity with scripts/sensitivity_summary.py
  4. Choose optimizer using scripts/optimizer_selector.py
  5. (Optional) Fit surrogate with scripts/surrogate_builder.py

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:

    • Read
    • Bash
    • Write
    • Grep
    • Glob

    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

Parameter Optimization loads about 1.3k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 392 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.4k

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 392 words (~1,345 tokens).

“Provide a workflow to design experiments, rank parameter influence, and select optimization strategies for materials simulation calibration.”

— opening of SKILL.md by FreedomIntelligence
name
parameter-optimization
allowed-tools
Read, Bash, Write, Grep, Glob

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (scripts, references) in skills/parameter-optimization of FreedomIntelligence/OpenClaw-Medical-Skills.

  • SKILL.md
  • references/doe_methods.md
  • references/optimizer_selection.md
  • references/sensitivity_guidelines.md
  • references/surrogate_guidelines.md
  • scripts/doe_generator.py
  • scripts/optimizer_selector.py
  • scripts/sensitivity_summary.py
  • scripts/surrogate_builder.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 9, 2026.

Compare with similar skills

Parameter Optimization 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.

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Questions about Parameter Optimization

What does Parameter Optimization do?

Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Parameter Optimization is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection.

When should I use Parameter Optimization?

Parameter Optimization fits situations like: uncertainty studies; parameter sweeps; surrogate modeling; bayesian optimization setup.

How do I install Parameter Optimization in Claude Code?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill parameter-optimization -a claude-code`. Or copy the skill folder (skills/parameter-optimization in FreedomIntelligence/OpenClaw-Medical-Skills) into .claude/skills/parameter-optimization in your project. Claude Code loads it when a task matches its description.

How do I install Parameter Optimization in Codex?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill parameter-optimization -a codex`. Or copy the skill folder (skills/parameter-optimization in FreedomIntelligence/OpenClaw-Medical-Skills) into .agents/skills/parameter-optimization in your project. Codex loads it when a task matches its description.

Can I use Parameter Optimization 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 parameter-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parameter-optimization, .gemini/skills/parameter-optimization, .github/skills/parameter-optimization and .opencode/skills/parameter-optimization in your project.

What does Parameter Optimization need to run?

Going by SKILL.md and its folder, Parameter Optimization 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 Parameter Optimization 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 Parameter Optimization 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 Parameter Optimization use?

No licence was found for Parameter Optimization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Parameter Optimization use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 5k tokens, read only when the agent opens those files.

What are the alternatives to Parameter Optimization?

Skills that share tags, products or a category with Parameter Optimization: Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars), Align Human (agentscope-ai/OpenJudge, 871 stars), Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 861 stars) and Company Analysis (zhu1090093659/dsh-trading, 238 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parameter Optimization?

FreedomIntelligence (a GitHub organization) maintains it in FreedomIntelligence/OpenClaw-Medical-Skills, which has 3,053 GitHub stars. The repository holds 279 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.