Agent skill

Session Anonymizer

Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring).

MITAuto-check passedAI & LLM Engineering

Install Session Anonymizer

skills CLI

$ npx skills add glebis/claude-skills --skill session-anonymizer -a claude-code

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

GitHub CLI

$ gh skill install glebis/claude-skills session-anonymizer --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/session-anonymizer .claude/skills/session-anonymizer && 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 "session-anonymizer" agent skill from https://github.com/glebis/claude-skills/tree/main/session-anonymizer into .claude/skills/session-anonymizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "session-anonymizer", 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/glebis/claude-skills/tree/main/session-anonymizer

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 glebis/claude-skills --skill session-anonymizer -a codex

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

GitHub CLI

$ gh skill install glebis/claude-skills session-anonymizer --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/session-anonymizer .agents/skills/session-anonymizer && 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 "session-anonymizer" agent skill from https://github.com/glebis/claude-skills/tree/main/session-anonymizer into .agents/skills/session-anonymizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "session-anonymizer", 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 glebis/claude-skills --skill session-anonymizer -a cursor

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

GitHub CLI

$ gh skill install glebis/claude-skills session-anonymizer --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/session-anonymizer .cursor/skills/session-anonymizer && 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 "session-anonymizer" agent skill from https://github.com/glebis/claude-skills/tree/main/session-anonymizer into .cursor/skills/session-anonymizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "session-anonymizer", 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/glebis/claude-skills.git --path session-anonymizer

--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 glebis/claude-skills --skill session-anonymizer -a gemini-cli

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

GitHub CLI

$ gh skill install glebis/claude-skills session-anonymizer --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/glebis/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/session-anonymizer .gemini/skills/session-anonymizer && 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 "session-anonymizer" agent skill from https://github.com/glebis/claude-skills/tree/main/session-anonymizer into .gemini/skills/session-anonymizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "session-anonymizer", 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 glebis/claude-skills session-anonymizer

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 glebis/claude-skills --skill session-anonymizer -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/session-anonymizer .github/skills/session-anonymizer && 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 "session-anonymizer" agent skill from https://github.com/glebis/claude-skills/tree/main/session-anonymizer into .github/skills/session-anonymizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "session-anonymizer", 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 glebis/claude-skills --skill session-anonymizer -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 glebis/claude-skills session-anonymizer --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/session-anonymizer .opencode/skills/session-anonymizer && 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 "session-anonymizer" agent skill from https://github.com/glebis/claude-skills/tree/main/session-anonymizer into .opencode/skills/session-anonymizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "session-anonymizer", 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: session-anonymizer
GitHub stars: 389
Token cost: ~841 tokens
SKILL.md length: 214 words
Files: 2 (incl. scripts)
Skills in repo: 91
Repo updated: Sep 26, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring).

Anonymize session
SKILL.md covers Architecture, Prerequisites, Usage and Invoking from Claude Code, plus 2 more sections
Runs Python scripts from its folder; calls python3, pip and ollama; reaches github.com
Protect client data

What it does

Session Anonymizer is an agent skill from glebis/claude-skills. Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring). Runs Natasha (Russian NER), OpenAI Privacy Filter, and local LLM (Ollama) in sequence for maximum coverage. Fully local by default. This skill should be used when anonymizing session transcripts, notes, or any text containing client PII before AI analysis. Triggers on "anonymize", "redact PII", "anonymize session", "protect client data", "strip personal data", "anonymize transcript".

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/anonymize.py`).

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

When your agent uses it

Anonymize session
Protect client data
Strip personal data
Anonymize transcript

Example prompts

“anonymize”
“redact PII”
“anonymize session”
“/session-anonymizer”

Requirements

Python 3

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
- pip
- ollama
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- github.com
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

Session Anonymizer loads about 841 tokens when it runs. Until then it costs about 126 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~126
When it runs · the whole SKILL.md, loaded when a task matches: ~841

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). 214 words, ~841 tokens.

Download SKILL.mdSave it as .claude/skills/session-anonymizer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: session-anonymizer
description: Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring). Runs Natasha (Russian NER), OpenAI Privacy Filter, and local LLM (Ollama) in sequence for maximum coverage. Fully local by default. This skill should be used when anonymizing session transcripts, notes, or any text containing client PII before AI analysis. Triggers on "anonymize", "redact PII", "anonymize session", "protect client data", "strip personal data", "anonymize transcript".

Therapy Anonymizer

Three-layer PII detection and anonymization for therapy session transcripts. Supports Russian and English. Fully local by default — no data leaves the machine.

Architecture

Three detection layers run in sequence, each catching what others miss:

Layer	Tool	Catches	Size	Speed
1	Natasha	Russian names, locations, organizations	27 MB	instant
2	OpenAI Privacy Filter (opf)	Phones, accounts, addresses, emails	2.8 GB	~1.5s
3	Ollama LLM	Medications, dates, contextual IDs	2.5-7 GB	~10s

Spans from all layers are merged, overlaps resolved, and a unified redacted output is produced.

Prerequisites

bash

pip install natasha setuptools pymorphy2-dicts-ru
pip install 'opf @ git+https://github.com/openai/privacy-filter.git'
ollama pull qwen3:4b

Each layer is optional — the script gracefully skips unavailable layers and warns.

Usage

Single file

bash

python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py session.txt

Stdin pipe

bash

cat session.txt | python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py

Batch processing

bash

python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py --batch ~/sessions/ -o ~/sessions_clean/

JSON report

bash

python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py session.txt --json

Pseudonyms instead of tags

bash

python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py session.txt --pseudonyms

Select layers / model

bash

# Fast — Natasha only
python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py session.txt --layers natasha

# LLM only — maximum coverage
python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py session.txt --layers ollama --model gemma4:e2b

Encrypt output (AES-256)

bash

python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py session.txt -o clean.txt --encrypt "password"

Invoking from Claude Code

To anonymize text already in context, pipe it through the script:

bash

echo '<text>' | python3 ~/.claude/skills/therapy-anonymizer/scripts/anonymize.py --json

For files, pass the path directly. Always recommend manual review after automated anonymization.

Limitations

Contextual identifiers ("the only red-haired architect in Kostroma") are NOT detected by any automated tool
OPF is English-focused — Russian coverage is partial
Medications detected only by Layer 3 (requires Ollama)
Does not assess re-identification risk from combinations of non-PII fields

Guardrails

NEVER send raw transcripts to cloud services
Cloud verification only on already-anonymized text
Always recommend manual review for therapy data
Never log original PII values

Files

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

SKILL.md
scripts/anonymize.py

Open the folder on GitHubat commit 7524dff

Compare with similar skills

Session Anonymizer 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.

Session Anonymizer compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Session Anonymizer this skillglebis/claude-skills	389	—	~841	Automated safety check: Pass	MIT	12 days ago
Aider DelegateamElnagdy/delegate-skills	2.3k	3 repos	~3k	Automated safety check: Pass	MIT	yesterday
Perfupraullenchai/Rapid-MLX	3.9k	—	~1.6k	Automated safety check: Notes	Custom licence	today
Ideer Daily Paper ChatbotAI45Lab/iDeer	416	—	~3k	Automated safety check: Notes	AGPL-3.0	2 mo ago
Agent Frameworkjihadkhawaja/Egroo	178	—	~1.9k	Automated safety check: Pass	Apache-2.0	6 mo ago
Tanstack AIsecondsky/claude-skills	227	1 repos	~3.6k	Automated safety check: Notes	MIT	10 days ago

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Works with

Questions about Session Anonymizer

What does Session Anonymizer do?

Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring). Session Anonymizer is an agent skill from glebis/claude-skills. Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring).

When should I use Session Anonymizer?

Session Anonymizer fits situations like: anonymize session; protect client data; strip personal data; anonymize transcript.

How do I install Session Anonymizer in Claude Code?

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

How do I install Session Anonymizer in Codex?

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

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

What does Session Anonymizer need to run?

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

Does Session Anonymizer access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Session Anonymizer 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 Session Anonymizer use?

Session Anonymizer 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 Session Anonymizer use?

About 841 tokens (SKILL.md is roughly 3.4k 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 Session Anonymizer?

Skills that share tags, products or a category with Session Anonymizer: Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Perfup (raullenchai/Rapid-MLX, 3.9k stars), Ideer Daily Paper Chatbot (AI45Lab/iDeer, 416 stars) and Agent Framework (jihadkhawaja/Egroo, 178 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Session Anonymizer?

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.

Install Session Anonymizer

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Therapy Anonymizer

Architecture

Prerequisites

Usage

Single file

Stdin pipe

Batch processing

JSON report

Pseudonyms instead of tags

Select layers / model

Encrypt output (AES-256)

Invoking from Claude Code

Limitations

Guardrails

Files

Compare with similar skills

Similar skills

More from glebis/claude-skills

Related

Questions about Session Anonymizer