Agent skill

Setup

by glebis in glebis/claude-skills

Set up, install, and configure CONFIDE local de-identification — installs Python deps (natasha, scrubadub, phonenumbers, pymorphy2), ensures Ollama + pulls the default qwen2.5:3b model, detects…

MITAuto-check passedAI & LLM Engineering

Install Setup

skills CLI
$ npx skills add glebis/claude-skills --skill setup -a claude-code

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

GitHub CLI
$ gh skill install glebis/claude-skills setup --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/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/confide/skills/setup .claude/skills/setup && 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
setup
GitHub stars
389
Token cost
~1.1k tokens
SKILL.md length
348 words
Files
2 (incl. scripts)
Skills in repo
91
Repo updated
First seen
Licence
MIT

At a glance

Set up, install, and configure CONFIDE local de-identification — installs Python deps (natasha, scrubadub, phonenumbers, pymorphy2), ensures Ollama + pulls the default qwen2.5:3b model, detects…

  • Works in 3 steps: Check readiness (default, no install) → Install everything (best-effort,… → Write the optimal-default config…
  • The user says set up confide
  • SKILL.md covers When to use, How to run, Chosen optimal preferences… and Notes
  • Runs Python scripts from its folder; calls python3 and ollama

What it does

Setup is an agent skill from glebis/claude-skills. Set up, install, and configure CONFIDE local de-identification — installs Python deps (natasha, scrubadub, phonenumbers, pymorphy2), ensures Ollama + pulls the default qwen2.5:3b model, detects optional llama.cpp, and writes the optimal-default config so confide:anon and confide:red work with zero further config. Everything is local-first; raw text never leaves the machine. Use when the user says "set up confide", "install confide", "configure confide de-id", "confide setup", or "get confide ready".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/setup.py`).

It sits in AI & LLM Engineering, covering LLM inference and serving. It works with Ollama, llama.cpp and Python. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

  • The user says set up confide
  • Install confide
  • Configure confide de-id
  • Get confide ready

Example prompts

  • “set up confide”
  • “install confide”
  • “configure confide de-id”
  • “/setup”

Requirements

  • Python 3

Workflow steps

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

  1. Check readiness (default, no install)
  2. Install everything (best-effort, tolerates failures)
  3. Write the optimal-default config (idempotent)

What it can do on your machine

Read from SKILL.md and the folder at commit 7524dff. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • ollama

    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

Setup loads about 1.1k tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 348 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~128
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 7524dff, republished under its MIT licence (© glebis). 348 words, ~1,054 tokens.

Download SKILL.mdSave it as .claude/skills/setup/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
setup
description
Set up, install, and configure CONFIDE local de-identification — installs Python deps (natasha, scrubadub, phonenumbers, pymorphy2), ensures Ollama + pulls the default qwen2.5:3b model, detects optional llama.cpp, and writes the optimal-default config so confide:anon and confide:red work with zero further config. Everything is local-first; raw text never leaves the machine. Use when the user says "set up confide", "install confide", "configure confide de-id", "confide setup", or "get confide ready".

confide:setup

One-shot installer + optimal-default config writer for the CONFIDE local de-identification toolkit. After running this, confide:anon (redact a transcript) and confide:red (residual re-identification risk check) work with no further configuration.

Local-first: all detection and redaction run on the user's machine. Readiness checks and config writing never read, print, or transmit any transcript text or PII — only booleans and the config path.

When to use

Trigger phrasings: "set up confide", "install confide", "configure confide de-id", "confide setup", "get confide ready to anonymize".

How to run

The entrypoint is scripts/setup.py. It imports the shared core (shared/confide_core.py) for the canonical DEFAULTS — do not redefine preferences here.

  1. Check readiness (default, no install):

    bash
    python3 skills/setup/scripts/setup.py --check

    Prints a ✓/✗ table: Python deps importable (natasha, scrubadub, phonenumbers, pymorphy2), Ollama reachable (GET ollama_host/api/tags), the anon_model pulled, llama.cpp on PATH (optional), and whether the config exists. Booleans only — no PII.

  2. Install everything (best-effort, tolerates failures):

    bash
    python3 skills/setup/scripts/setup.py --install            # core deps + ollama pull
    python3 skills/setup/scripts/setup.py --install --with-presidio   # + optional EN baseline
    • pip-installs: natasha scrubadub phonenumbers pymorphy2 pymorphy2-dicts-ru "setuptools<81" (setuptools<81 supplies pkg_resources for pymorphy2). Optional presidio-analyzer behind --with-presidio.
    • If ollama is on PATH, runs ollama pull qwen2.5:3b.
    • Each step reports ✓/✗; a failed step never aborts the others.
  3. Write the optimal-default config (idempotent):

    bash
    python3 skills/setup/scripts/setup.py --write-config   # writes only if absent
    python3 skills/setup/scripts/setup.py --reconfigure    # overwrites with defaults
    python3 skills/setup/scripts/setup.py --show           # print current config

    On first run with no config present, the script writes the defaults automatically. --write-config will not clobber an existing (user-customized) config; use --reconfigure to force-reset.

Config lives at ~/.config/confide/config.json.

Show full SKILL.md (133 more words)Show less

Chosen optimal preferences (from SPEC.md)

Written from confide_core.DEFAULTS:

KeyValueWhy
engineollamazero-config, Metal-accelerated, handles long docs (llama.cpp 400s on long RU)
anon_modelqwen2.5:3bfast local LLM layer for quasi-PII
red_attacker_modelqwen2.5:3blocal default; it is a floor — a stronger attacker is the true ceiling
languages["ru", "en"]bilingual corpus
layers["regex", "natasha", "llm"]deterministic → RU NER → quasi-PII
redaction_styletyped_placeholder[PERSON], [DATE], … (reversible map kept locally, never shipped)
privacy.local_onlytrueraw text never leaves the machine
privacy.cloud_apisfalsecloud disabled by default
privacy.cloud_only_on_synthetictruecloud attacker only opt-in on synthetic/consented data
ollama_hosthttp://localhost:11434local Ollama

Notes

  • llama.cpp is optional (reproducible engine) — detected and recorded if present, never required.
  • The bigger attacker model for confide:red is optional; the local 3b default under-reports risk.
  • Importable functions for programmatic / tested use: readiness(), ensure_config(reconfigure=False), install(with_presidio=False), show_config().

© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in confide/skills/setup of glebis/claude-skills.

  • SKILL.md
  • scripts/setup.py

Open the folder on GitHubat commit 7524dff

Compare with similar skills

Setup 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.

Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Setup this skillglebis/claude-skills389—~1.1kAutomated safety check: PassMIT
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Aider DelegateamElnagdy/delegate-skills2.3k3 repos~3kAutomated safety check: PassMIT
Qwen Mtp GgufR6410418/Jackrong-llm-finetuning-guide1.7k—~1.7kAutomated safety check: PassMIT
Resolvealexziskind1/model-shelf130—~792Automated safety check: PassMIT
Outlines Structured GenerationOrchestra-Research/AI-Research-SKILLs13k10 repos~4kAutomated safety check: PassMIT

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Questions about Setup

What does Setup do?

Set up, install, and configure CONFIDE local de-identification — installs Python deps (natasha, scrubadub, phonenumbers, pymorphy2), ensures Ollama + pulls the default qwen2.5:3b model, detects…. Setup is an agent skill from glebis/claude-skills.cpp, and writes the optimal-default config so confide:anon and confide:red work with zero further config.

When should I use Setup?

Setup fits situations like: the user says set up confide; install confide; configure confide de-id; get confide ready.

How do I install Setup in Claude Code?

Run `npx skills add glebis/claude-skills --skill setup -a claude-code`. Or copy the skill folder (confide/skills/setup in glebis/claude-skills) into .claude/skills/setup in your project. Claude Code loads it when a task matches its description.

How do I install Setup in Codex?

Run `npx skills add glebis/claude-skills --skill setup -a codex`. Or copy the skill folder (confide/skills/setup in glebis/claude-skills) into .agents/skills/setup in your project. Codex loads it when a task matches its description.

Can I use Setup 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 glebis/claude-skills --skill setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/setup, .gemini/skills/setup, .github/skills/setup and .opencode/skills/setup in your project.

What does Setup need to run?

Going by SKILL.md and its folder, Setup needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and ollama). Our summary lists: Python 3.

Does Setup 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 Setup 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Setup use?

Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Setup use?

About 1.1k tokens (SKILL.md is roughly 4.2k 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 Setup?

Skills that share tags, products or a category with Setup: Llama Cpp (magnus919/agent-skills, 113 stars), Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Qwen Mtp Gguf (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars) and Resolve (alexziskind1/model-shelf, 130 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Setup?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 389 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on September 26, 2026.

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