collab-audit

collab-audit is a skill for Claude Code, Codex from AlexZio00/sovereign-skills. It costs 179 tokens per session (6,773 once invoked), scanned A, original, MIT.

A command that analyzes how a person works with an AI assistant by examining conversation history, files, and work patterns. It produces a structured collaboration audit rather than a simple code review or metric report.

In plain words
What is it for?
Use it to audit at least two observed work sessions with enough conversation history, or compare collaboration patterns when the required records are available.
Why use it?
It can reveal recurring collaboration habits and possible problems that are difficult to notice from individual sessions.

Skill for Claude CodeCodex

Written for Claude Code and Codex: user-invocable in frontmatter, but also agents/openai.yaml present. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

Part of the collab-audit plugin — 1 skill shipped together

Good fit Use it to audit at least two observed work sessions with enough conversation history, or compare collaboration patterns when the required records are available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alexzio00/sovereign-skills/collab-audit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add AlexZio00/sovereign-skills --skill collab-audit
Clone the repo
git clone --depth 1 https://github.com/AlexZio00/sovereign-skills

Made for: Claude Code, Codex.

Or install collab-audit, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for collab-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexzio00/sovereign-skills/collab-audit/github.svg)](https://agentmods.dev/skills/alexzio00/sovereign-skills/collab-audit)
Your own site
<a href="https://agentmods.dev/skills/alexzio00/sovereign-skills/collab-audit"><img src="https://agentmods.dev/badge/skills/alexzio00/sovereign-skills/collab-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for collab-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexzio00/sovereign-skills/collab-audit"><img src="https://agentmods.dev/badge/skills/alexzio00/sovereign-skills/collab-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,773 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 152
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Excessive Agency · line 194
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 254
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Rogue Agent · line 367
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Excessive Agency · line 462
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 217
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00179 $0.06773
Opus 5 $0.00089 $0.03386
Sonnet 5 $0.00036 $0.01355
Haiku 4.5 $0.00018 $0.00677

Measured 4d ago against content hash 69997cc78a74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

collab-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/session_hygiene_scan.py, scripts/test_session_hygiene_scan.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

collab-audit/SKILL.md · 523 lines

How it starts

The opening of the file, as written. The whole thing — 523 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/collab-audit — AI Collaboration Audit

Purpose

Analyzes conversation history, artifacts, and work patterns to generate behavioral and psychological insights. Based on direct behavioral observation during actual work rather than self-report surveys. More accurate than survey-based methods.

Dominant Variable

Whether the analysis infers reasons behind observed patterns, not just lists facts (facts alone ≠ success)

Trigger

  • /collab-audit
  • "AI 협업 진단"
  • "협업 분석"
  • "AI 협업 진단해줘"

Discard If

  • Fewer than 2 observed sessions AND fewer than 100 messages — insufficient sample to extract patterns
  • Simple code review request → use code-reviewer instead
  • Only quantitative session metrics needed → use project-check instead

Key Assumptions

  1. 2+ observed sessions + 100+ messages — if broken: Discard If triggers.
  2. Access to memory/session-handoff-LATEST.md — if broken: handoff pattern analysis unavailable, skip that dimension.

Mode Detection (execute first)

  • Input contains /collab-audit compare or "compare" → Compare mode (separate section below)
  • Otherwise → Audit mode (14-section analysis)

Input Validation (Step 0 — execute first)

Minimum conditions — one of:

  • 2+ sessions
  • 100+ messages
  • Single-session high-density exception → refer to Invariant 4 criteria. If exception met, mark ⚠ Single-session analysis — pattern confidence limited then proceed.

Deterministic gate (preferred): if session-meta JSON files are available (one per session, with fields such as message_count, artifact_count, originator, first_message, cwd), run scripts/session_hygiene_scan.py --meta-dir <DIR> and read meets_minimum / single_session_exception straight from its JSON output — do not re-derive these booleans by eyeballing the transcripts. Fall back to manual counting only when no such metadata directory exists (e.g. a single live conversation with no file access).

If all unmet:

"Insufficient data — minimum 2 sessions or 100 messages required. Currently [N] messages, [M] artifacts observed."

Read the full file on GitHub · 523 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago Changed · +12 lines 69997cc78a74
  2. 12d ago First seen · 511 lines · 179 tokens per session scan A 1b48bffe2d23

Subscribe to this mod's changes

collab-audit is a skill published in the GitHub repository AlexZio00/sovereign-skills (129 stars, last pushed 5d ago), licensed MIT. It adds 179 tokens to every session and 6,773 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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