Agent skill

Audit

Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution…

MITAuto-check passed

Install Audit

skills CLI

$ npx skills add glebis/claude-skills --skill audit -a claude-code

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

GitHub CLI

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

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 audit -a codex

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

GitHub CLI

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

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

GitHub CLI

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

--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 audit -a gemini-cli

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

GitHub CLI

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

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 audit -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/confide/skills/audit .github/skills/audit && 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 "audit" agent skill from https://github.com/glebis/claude-skills/tree/main/confide/skills/audit into .github/skills/audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit", 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 audit -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 audit --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/confide/skills/audit .opencode/skills/audit && 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 "audit" agent skill from https://github.com/glebis/claude-skills/tree/main/confide/skills/audit into .opencode/skills/audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit", 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: audit
GitHub stars: 388
Token cost: ~928 tokens
SKILL.md length: 380 words
Files: 2 (incl. scripts)
Skills in repo: 91
Repo updated: Sep 26, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution…

Works in 2 steps: Report the aggregate summary (file… → If residual is non-trivial on a GREEN…
The user says audit my sessions
SKILL.md covers Privacy invariants (do not…, What it reports, Run it and RED vs GREEN, plus 2 more sections
Runs Python scripts from its folder; calls python3

What it does

Audit is an agent skill from glebis/claude-skills. Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution, document lengths, and a coarse residual proxy. Use when the user says "audit my sessions", "scan folder for PII", "how much PII across these transcripts", "PII stats for my corpus", "is my redaction holding at scale", or points at a directory of transcripts and asks how much personal data it contains. Fully local — raw…

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/audit.py`).

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 audit my sessions
Scan folder for PII
How much PII across these transcripts
PII stats for my corpus

Example prompts

“audit my sessions”
“scan folder for PII”
“how much PII across these transcripts”
“/audit”

Requirements

Python 3

Workflow steps

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

Report the aggregate summary (file count, span totals by type/layer, redaction-rate
If residual is non-trivial on a GREEN corpus, point the user at confide:anon to

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
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

Audit loads about 928 tokens when it runs. Until then it costs about 204 tokens; SKILL.md has 380 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~204
When it runs · the whole SKILL.md, loaded when a task matches: ~928

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). 380 words, ~928 tokens.

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

name: audit
description: Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution, document lengths, and a coarse residual proxy. Use when the user says "audit my sessions", "scan folder for PII", "how much PII across these transcripts", "PII stats for my corpus", "is my redaction holding at scale", or points at a directory of transcripts and asks how much personal data it contains. Fully local — raw text never leaves the machine; the report carries ZERO PII values, transcript substrings, or filenames (only anonymized own-NN ids and counts), so the aggregates are safe to surface. Run it on a RED (raw) corpus to size the PII, or on a GREEN (already-redacted) corpus to check residual leakage.

confide:audit — corpus-scale, stats-only PII audit

Measure how much PII lives across a whole folder of sessions, without ever exposing any of it. The audit runs the layered LOCAL detector stack from shared/confide_core.py (regex → Natasha → local LLM) over each file and emits only aggregates. This mirrors the real_session_eval privacy contract: read text only in-process, emit counts.

Privacy invariants (do not violate)

Local-only. No cloud APIs. Raw transcript text never leaves the machine.
Stats-only output. The report (markdown + json + optional HTML) contains ONLY counts and rates — never a transcript substring, never a detected PII value.
No filenames. Per-file rows are keyed by anonymized ids own-00, own-01, … The original path/name is never written or printed. On an unreadable file, only the index + exception class name is recorded.
Safe to surface. Because it is counts-only, the aggregate report can be shared with a cloud agent or pasted into a chat. The PII stays on the machine.

What it reports

n_files, total / mean / min / max document chars
spans_by_type (PERSON, EMAIL, PHONE, DATE, …) and spans_by_layer (regex / natasha / llm)
overall_redaction_rate plus the per-session redaction-rate distribution (min / median / mean / max)
a coarse residual proxy: spans still detectable after redaction — ~0 on a clean RED corpus, a leakage signal on a GREEN corpus.

Show full SKILL.md (176 more words)Show less

Run it

Point it at a folder (recurses, processes every .md/.txt; skips confide's own *.green.md / *.stats.json outputs):

bash

python3 skills/audit/scripts/audit.py FOLDER

Options:

--list paths.txt — also/instead audit absolute paths listed one per line.
--layers regex,natasha,llm — choose detection layers (default from config). Use --layers regex for a fully offline, deterministic pass (no models/network).
--out report.md — report path; a report.json sibling is written alongside.
--html — also write a Tufte-ish dashboard (report.html, counts only).

Writes the markdown + json report (and optional HTML) and prints the aggregate summary — all counts only.

RED vs GREEN

RED (raw) corpus: sizes the PII problem before any redaction.
GREEN (redacted) corpus: the residual proxy and remaining spans_by_type tell you whether redaction is holding at scale.

After running

Report the aggregate summary (file count, span totals by type/layer, redaction-rate distribution, residual proxy) — never paste PII.
If residual is non-trivial on a GREEN corpus, point the user at confide:anon to re-redact and confide:red to probe re-identification risk.

Setup

Layer availability (Natasha, local LLM via Ollama) comes from config — run confide:setup if they aren't installed. --layers regex always works offline.

Files

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

SKILL.md
scripts/audit.py

Open the folder on GitHubat commit 7524dff

Compare with similar skills

Audit 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.

Audit compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Audit this skillglebis/claude-skills	388	—	~928	Automated safety check: Pass	MIT	11 days ago
Pii Detectruvnet/ruflo	74k	1 repos	~350	Automated safety check: Notes	MIT	today
Tests Query Corpusnetdata/netdata	81k	—	~5.3k	Automated safety check: Pass	GPL-3.0	today
Scale Benchmarkssickn33/agentic-awesome-skills	47k	1 repos	~1.4k	Automated safety check: Pass	MIT	today
Qdrant Scalinggithub/awesome-copilot	40k	1 repos	~467	Automated safety check: Pass	MIT	today
Idea Scale AutomationComposioHQ/awesome-claude-skills	77k	3 repos	~742	Automated safety check: Pass	None	19 days ago

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Questions about Audit

What does Audit do?

Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution…. Audit is an agent skill from glebis/claude-skills. Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution, document lengths, and a coarse residual proxy.

When should I use Audit?

Audit fits situations like: the user says audit my sessions; scan folder for PII; how much PII across these transcripts; PII stats for my corpus.

How do I install Audit in Claude Code?

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

How do I install Audit in Codex?

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

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

What does Audit need to run?

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

Does Audit 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 Audit 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 Audit use?

Audit 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 Audit use?

About 928 tokens (SKILL.md is roughly 3.7k 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 Audit?

Skills that share tags, products or a category with Audit: Pii Detect (ruvnet/ruflo, 74k stars), Tests Query Corpus (netdata/netdata, 81k stars), Scale Benchmarks (sickn33/agentic-awesome-skills, 47k stars) and Qdrant Scaling (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 388 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 Audit

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

confide:audit — corpus-scale, stats-only PII audit

Privacy invariants (do not violate)

What it reports

Run it

RED vs GREEN

After running

Setup

Files

Compare with similar skills

Similar skills

More from glebis/claude-skills

Questions about Audit