Agent skill

Pick A Pii Model

by maziyarpanahi in maziyarpanahi/openmed

Select an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Pick A Pii Model

skills CLI

$ npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a claude-code

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

GitHub CLI

$ gh skill install maziyarpanahi/openmed pick-a-pii-model --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/maziyarpanahi/openmed.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pick-a-pii-model .claude/skills/pick-a-pii-model && 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/

Paste into Claude Code

Install the "pick-a-pii-model" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/pick-a-pii-model into .claude/skills/pick-a-pii-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-a-pii-model", 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

$skill-installer install https://github.com/maziyarpanahi/openmed/tree/master/skills/pick-a-pii-model

Type 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.

skills CLI

$ npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install maziyarpanahi/openmed pick-a-pii-model --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pick-a-pii-model .agents/skills/pick-a-pii-model && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "pick-a-pii-model" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/pick-a-pii-model into .agents/skills/pick-a-pii-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-a-pii-model", 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.

skills CLI

$ npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install maziyarpanahi/openmed pick-a-pii-model --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pick-a-pii-model .cursor/skills/pick-a-pii-model && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "pick-a-pii-model" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/pick-a-pii-model into .cursor/skills/pick-a-pii-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-a-pii-model", 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

$ gemini skills install https://github.com/maziyarpanahi/openmed.git --path skills/pick-a-pii-model

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install maziyarpanahi/openmed pick-a-pii-model --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pick-a-pii-model .gemini/skills/pick-a-pii-model && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "pick-a-pii-model" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/pick-a-pii-model into .gemini/skills/pick-a-pii-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-a-pii-model", 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.

GitHub CLI

$ gh skill install maziyarpanahi/openmed pick-a-pii-model

Installs 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).

skills CLI

$ npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pick-a-pii-model .github/skills/pick-a-pii-model && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "pick-a-pii-model" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/pick-a-pii-model into .github/skills/pick-a-pii-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-a-pii-model", 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.

skills CLI

$ npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install maziyarpanahi/openmed pick-a-pii-model --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pick-a-pii-model .opencode/skills/pick-a-pii-model && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "pick-a-pii-model" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/pick-a-pii-model into .opencode/skills/pick-a-pii-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-a-pii-model", 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: pick-a-pii-model
GitHub stars: 5.5k
Token cost: ~798 tokens
SKILL.md length: 235 words
Files: 1
Skills in repo: 74
Repo updated: Oct 11, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Select an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment.

Works in 6 steps: Identify the input language and script… → Choose the runtime: pytorch for local… → Read get_default_pii_model(language) as… → …
An agent must choose a local PII detector for CPU
SKILL.md covers Procedure, Runnable offline shortlist, Selection rules and Repository example
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pick A Pii Model is an agent skill from maziyarpanahi/openmed. Select an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment. Use when an agent must choose a local PII detector for CPU, Apple Silicon, or a mobile export without relying on live model discovery.

Its SKILL.md is about 800 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 AI & LLM Engineering. The repository describes itself as: Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android… The licence is Apache-2.0.

When your agent uses it

An agent must choose a local PII detector for CPU
A mobile export without relying on live model discovery

Example prompts

“/pick-a-pii-model”

Requirements

Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

Identify the input language and script before choosing a model.
Choose the runtime: pytorch for local CPU/GPU and mobile export sources,
Read get_default_pii_model(language) as the baseline.
Filter get_pii_models_by_language(language) by runtime and device budget.
Prefer the baseline when it fits; otherwise select a compatible candidate.
Benchmark the candidate on direct identifiers, critical leakage, scripts,

What it can do on your machine

Read from SKILL.md and the folder at commit 34d7b8c. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
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

Pick A Pii Model loads about 798 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 235 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~78
When it runs · the whole SKILL.md, loaded when a task matches: ~798

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 passed

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.

SKILL.md

The full file from maziyarpanahi/openmed at commit 34d7b8c, republished under its Apache-2.0 licence (© maziyarpanahi). 235 words, ~798 tokens.

Download SKILL.mdSave it as .claude/skills/pick-a-pii-model/SKILL.md (or your agent's skills folder).

name: pick-a-pii-model
description: Select an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment. Use when an agent must choose a local PII detector for CPU, Apple Silicon, or a mobile export without relying on live model discovery.

Pick an on-device PII model

Use the committed registry to build an offline shortlist. Treat the language default as the safety baseline, but never treat model size or format as proof of recall.

Procedure

Identify the input language and script before choosing a model.
Choose the runtime: pytorch for local CPU/GPU and mobile export sources, mlx-fp or mlx-8bit for Apple Silicon.
Read get_default_pii_model(language) as the baseline.
Filter get_pii_models_by_language(language) by runtime and device budget.
Prefer the baseline when it fits; otherwise select a compatible candidate.
Benchmark the candidate on direct identifiers, critical leakage, scripts, and the target quantization before shipping.

Runnable offline shortlist

This snippet reads only the bundled manifest; it does not download weights.

python

from openmed import get_default_pii_model, get_pii_models_by_language

LANGUAGE = "en"
TARGET_FORMAT = "mlx-fp"  # Use "pytorch" for CPU or as an export source.
MAX_PARAMETERS_M = 150

baseline_id = get_default_pii_model(LANGUAGE)
models = get_pii_models_by_language(LANGUAGE)

shortlist = [
    (key, info)
    for key, info in models.items()
    if TARGET_FORMAT in info.formats
    and info.size_mb is not None
    and info.size_mb <= MAX_PARAMETERS_M
]
shortlist.sort(
    key=lambda item: (
        item[1].model_id != baseline_id,
        item[1].size_mb,
        item[0],
    )
)

if not shortlist:
    raise RuntimeError("No compatible PII model fits the requested budget")

registry_key, selected = shortlist[0]
print(
    {
        "registry_key": registry_key,
        "model_id": selected.model_id,
        "format": TARGET_FORMAT,
        "parameters_m": selected.size_mb,
        "recommended_confidence": selected.recommended_confidence,
        "is_language_default": selected.model_id == baseline_id,
    }
)
print("Benchmark this candidate against the language default before release.")

For Android, Core ML, ONNX, or browser deployment, select a compatible pytorch source and use the target export workflow. Re-run PII recall after conversion or quantization.

Selection rules

Reject an unsupported language instead of silently falling back to English.
Prefer audited script coverage over a model's name or marketing description.
Treat parameter count as a rough capacity signal, not download size, latency, peak memory, or quality.
Measure latency and peak memory on the real target device.
Fail closed when conversion or quantization drops direct-identifier recall or introduces residual critical leakage.
Cache approved weights locally and set offline mode for steady-state use.

Repository example

Read the PII model comparison example for registry inspection and model-by-model inference.

Files

Just SKILL.md in skills/pick-a-pii-model of maziyarpanahi/openmed.

Open the folder on GitHubat commit 34d7b8c

Compare with similar skills

Pick A Pii Model 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.

Pick A Pii Model compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Pick A Pii Model this skillmaziyarpanahi/openmed	5.5k	—	~798	Automated safety check: Pass	Apache-2.0	today
Hexstellarbrayonpi/hexstellar	1.4k	—	~5k	Automated safety check: Pass	Proprietary	1 mo ago
Safactory WorkflowsAI45Lab/SAfactory	236	—	~1.8k	Automated safety check: Pass	None	17 days ago
Langfuselangfuse/skills	301	—	~2.1k	Automated safety check: Notes	MIT	10 days ago
Areno Debug RuntimeinclusionAI/AReno	323	—	~486	Automated safety check: Pass	Apache-2.0	yesterday
Megatron-LM on SLURMNVIDIA/Megatron-LM	18k	—	~1.8k	Automated safety check: Pass	Apache-2.0	today

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Questions about Pick A Pii Model

What does Pick A Pii Model do?

Select an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment. Pick A Pii Model is an agent skill from maziyarpanahi/openmed. Select an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment.

When should I use Pick A Pii Model?

Pick A Pii Model fits situations like: an agent must choose a local PII detector for CPU; A mobile export without relying on live model discovery.

How do I install Pick A Pii Model in Claude Code?

Run `npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a claude-code`. Or copy the skill folder (skills/pick-a-pii-model in maziyarpanahi/openmed) into .claude/skills/pick-a-pii-model in your project. Claude Code loads it when a task matches its description.

How do I install Pick A Pii Model in Codex?

Run `npx skills add maziyarpanahi/openmed --skill pick-a-pii-model -a codex`. Or copy the skill folder (skills/pick-a-pii-model in maziyarpanahi/openmed) into .agents/skills/pick-a-pii-model in your project. Codex loads it when a task matches its description.

Can I use Pick A Pii Model 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 maziyarpanahi/openmed --skill pick-a-pii-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pick-a-pii-model, .gemini/skills/pick-a-pii-model, .github/skills/pick-a-pii-model and .opencode/skills/pick-a-pii-model in your project.

What does Pick A Pii Model need to run?

SKILL.md names no scripts, command-line tools or credentials: Pick A Pii Model is instructions for the agent only. Our summary lists: Python 3.

Does Pick A Pii Model 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 Pick A Pii Model safe to install?

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.

What licence does Pick A Pii Model use?

Pick A Pii Model is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pick A Pii Model use?

About 798 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pick A Pii Model?

Skills that share tags, products or a category with Pick A Pii Model: Hexstellar (brayonpi/hexstellar, 1.4k stars), Safactory Workflows (AI45Lab/SAfactory, 236 stars), Langfuse (langfuse/skills, 301 stars) and Areno Debug Runtime (inclusionAI/AReno, 323 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pick A Pii Model?

maziyarpanahi (a GitHub user) maintains it in maziyarpanahi/openmed, which has 5,506 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.

Source: maziyarpanahi/openmed on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Pick A Pii Model

Install Pick A Pii Model

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Pick an on-device PII model

Procedure

Runnable offline shortlist

Selection rules

Repository example

Files

Compare with similar skills

Similar skills

Hexstellar

Safactory Workflows

Langfuse

Areno Debug Runtime

Megatron-LM on SLURM

Eval

More from maziyarpanahi/openmed

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Questions about Pick A Pii Model

Install Pick A Pii Model

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Pick an on-device PII model

Procedure

Runnable offline shortlist

Selection rules

Repository example

Files

Compare with similar skills

Similar skills

More from maziyarpanahi/openmed

Related

Questions about Pick A Pii Model