worker-classification

worker-classification is a skill for Claude Code from anthropics/claude-for-legal. It costs 85 tokens per session (4,806 once invoked), scanned A, original, Apache-2.0.

A prospective worker-classification review that determines whether a planned engagement looks like an employee, independent contractor, temporary worker, or vendor arrangement. Worker classification affects which employment rules apply.

In plain words
What is it for?
Use it before engaging a worker to assess jurisdiction-specific classification tests and identify where the proposed arrangement may not fit.
Why use it?
Calling someone a contractor does not by itself make the arrangement one. This compares the intended structure with the facts and flags possible misclassification gaps.

Skill for Claude Code ✓ vendor

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md.

Part of the employment-legal plugin — 17 skills, 1 agent shipped together

Good fit Use it before engaging a worker to assess jurisdiction-specific classification tests and identify where the proposed arrangement may not fit.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anthropics/claude-for-legal/worker-classification
About the project

Claude for Legal is a collection of AI agents, skills, and data connectors for legal work such as commercial, privacy, employment, litigation, regulatory, and intellectual-property matters. Lawyers and legal teams use it through Claude Cowork, Claude Code, or the Claude Managed Agents API, with attorney review required for every output. The catalogue entries are its workflow plugins, skills, agents, and connectors.

anthropics/claude-for-legal · 9,415 stars · on GitHub

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 anthropics/claude-for-legal --skill worker-classification
Clone the repo
git clone --depth 1 https://github.com/anthropics/claude-for-legal

Made for: Claude Code.

Or install employment-legal, the plugin that ships this one along with the rest of its 17 skills, 1 agent.

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 worker-classification

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthropics/claude-for-legal/worker-classification/github.svg)](https://agentmods.dev/skills/anthropics/claude-for-legal/worker-classification)
Your own site
<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/worker-classification"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/worker-classification/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 worker-classification

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/worker-classification"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/worker-classification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,806 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
  • Socket pass 13 May 2026
  • Snyk warn 13 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

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 →

  • high Memory Poisoning · line 294
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
  • medium Rogue Agent · line 49
    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.
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 $0.00085 $0.04806
Opus 5 $0.00043 $0.02403
Sonnet 5 $0.00017 $0.00961
Haiku 4.5 $0.00009 $0.00481

Measured 11d ago against content hash 32705d51cfae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

worker-classification 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 11d ago.

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.

employment-legal/skills/worker-classification/SKILL.md · 400 lines

How it starts

The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/worker-classification

Runs the applicable classification tests for the jurisdiction and flags where the proposed arrangement doesn't match the structure you're trying to use. Prospective only — for existing relationships, consult counsel.

Instructions

  1. Load ~/.claude/plugins/config/claude-for-legal/employment-legal/CLAUDE.md → jurisdictional footprint, escalation table.
  2. Run the full workflow below.
  3. If the attorney provides details upfront, extract what's available and ask only about the gaps. Do not re-ask information already provided.

Examples

/employment-legal:worker-classification
We want to bring on a data scientist for 6 months, working out of our
SF office, using our tools, embedded in our analytics team.
/employment-legal:worker-classification
Is our recruiter contractor arrangement okay? She works exclusively for
us, sets her own hours, uses her own laptop, project fee per placement.
/employment-legal:worker-classification
(skill will ask for details)

Matter context

Matter context. Check ## Matter workspaces in the practice-level CLAUDE.md. If Enabled is (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run /employment-legal:matter-workspace switch <slug> or say practice-level." Load the active matter's matter.md for matter-specific context and overrides. Write outputs to the matter folder at ~/.claude/plugins/config/claude-for-legal/employment-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.


Purpose

The most expensive classification decision is the one nobody made consciously. Someone describes what they want ("a contractor"), the engagement starts, and two years later the facts look like employment. This skill walks the applicable tests on the proposed arrangement before it starts — and tells you when what you're describing doesn't match the structure you're trying to use.

Read the full file on GitHub · 400 lines

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. 11d ago First seen · 400 lines · 85 tokens per session scan A 32705d51cfae

Subscribe to this mod's changes

worker-classification is a skill published in the GitHub repository anthropics/claude-for-legal (9,415 stars, last pushed 20d ago), licensed Apache-2.0. It adds 85 tokens to every session and 4,806 once invoked, about $0.0004 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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