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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

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claude-skills
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Install
$ npx -y skills add glebis/claude-skills --skill setup --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/setup

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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

SKILL.md

setup.SKILL.md
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):**

   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):**

   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):**

   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`.

Chosen optimal preferences (from SPEC.md)

Written from `confide_core.DEFAULTS`:

| Key | Value | Why | |---|---|---| | `engine` | `ollama` | zero-config, Metal-accelerated, handles long docs (llama.cpp 400s on long RU) | | `anon_model` | `qwen2.5:3b` | fast local LLM layer for quasi-PII | | `red_attacker_model` | `qwen2.5:3b` | local 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_style` | `typed_placeholder` | `[PERSON]`, `[DATE]`, … (reversible map kept locally, never shipped) | | `privacy.local_only` | `true` | raw text never leaves the machine | | `privacy.cloud_apis` | `false` | cloud disabled by default | | `privacy.cloud_only_on_synthetic` | `true` | cloud attacker only opt-in on synthetic/consented data | | `ollama_host` | `http://localhost:11434` | local 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()`.

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~100 skills for Claude Code — meeting pipelines, research, image generation, TDD, publishing, personal analytics, and Claude Code ops. Each skill is a self-contained folder with a SKILL.md; Claude triggers them from natural language.

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