mcpbeat

Setup

glebis/setup

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".

3k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
337
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/glebis/claude-skills --skill setup

What comes with it

7 714 bytes besides the instruction
scripts/setup.py

The instruction itself

5 sections, as written by the author

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.

  • 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.

  • 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.
  • 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().

How to use it

Copy the folder

Take glebis/setup from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.