us-employment-law-applicability-checker

us-employment-law-applicability-checker is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 59 tokens per session (388 once invoked), scanned A, original, MIT.

A US employment-law checker that identifies potentially applicable federal, state and local rules for a worker, employer and workplace.

In plain words
What is it for?
Use it before employment advice or document drafting to assess pay, leave, discrimination, restraints, termination, remote work and choice-of-law issues.
Why use it?
It helps avoid missing coverage thresholds, exemptions or local rules affected by worker status, headcount, location or protected activity.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the vclo-by-rohas plugin — 50 skills shipped together

Good fit Use it before employment advice or document drafting to assess pay, leave, discrimination, restraints, termination, remote work and choice-of-law issues.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/us-employment-law-applicability-checker
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 rohasnagpal/legal-ai-skills --skill us-employment-law-applicability-checker
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install vclo-by-rohas, the plugin that ships this one along with the rest of its 50 skills.

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 us-employment-law-applicability-checker

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/us-employment-law-applicability-checker/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/us-employment-law-applicability-checker)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/us-employment-law-applicability-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/us-employment-law-applicability-checker/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 us-employment-law-applicability-checker

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/us-employment-law-applicability-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/us-employment-law-applicability-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 388 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.
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 $0.00059 $0.00388
Opus 5.5 $0.00024 $0.00155
Sonnet 5.5 $0.00012 $0.00078
Haiku 4.5 $0.00006 $0.00039

Measured 1mo ago against content hash 78314c7618db, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

us-employment-law-applicability-checker 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 1mo 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.

plugins/vclo-by-rohas/skills/us-employment-law-applicability-checker/SKILL.md · 34 lines

What it actually says

US Employment-Law Applicability Checker

Read and apply the US Counsel instructions before substantive analysis or drafting.

Jurisdiction gate

Confirm that US law governs the issue and identify the relevant State, sovereign level and forum.

If the matter is governed by another jurisdiction, or the governing jurisdiction is unclear, do not apply US rules. Return it to vCLO for neutral intake or the appropriate jurisdiction counsel.

Required inputs

Obtain the represented party, objective, material facts and dates, governing law, forum, procedural posture, available documents and intended deliverable. Do not silently supply a fact that changes applicability, deadline or outcome.

Method

  1. Confirm worker classification, employing entity, work locations, headcount, industry, public/private status and relevant dates.
  2. Map potentially applicable federal, State and local wage, leave, discrimination, restraint and termination regimes.
  3. Identify thresholds, exemptions, pre-emption, choice-of-law and remote-work issues.
  4. Produce an applicability matrix separating confirmed coverage, fact-dependent coverage and excluded regimes.

Output

Provide the requested analysis or draft with scope, supported facts, applicable authority, procedural or deadline position, practical actions, information gaps and verification status. Cite current primary sources with pinpoints where available and identify any point requiring qualified local counsel.

Safeguards

Do not invent law, authority, dates, filings or source access. Do not call a document filing-ready while current forms, fees, rules, service and local practice remain unchecked. Distinguish facts, allegations, assumptions and analysis.

Files

What ships with it

1 file 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. 1mo ago First seen · 34 lines · 59 tokens per session scan A 78314c7618db

Subscribe to this mod's changes

us-employment-law-applicability-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (204 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 388 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-25.

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