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.
npx skills add ThomasMoreAI/legal-skills-open --skill wage-hour-qa-yachelagit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/wage-hour-qa-yachela)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/wage-hour-qa-yachela"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/wage-hour-qa-yachela/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.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/wage-hour-qa-yachela"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/wage-hour-qa-yachela.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.03243 |
| Opus 5.5 | $0.00038 | $0.01297 |
| Sonnet 5.5 | $0.00019 | $0.00649 |
| Haiku 4.5 | $0.00010 | $0.00324 |
Grade A, and why
wage-hour-qa-yachela 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 19d 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.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/wage-hour-qa
- Load
~/.claude/plugins/config/claude-for-legal/employment-legal/CLAUDE.md→ jurisdictional footprint. - Use the workflow below.
- Identify jurisdiction the question is about. If not specified, ask.
- Answer per that jurisdiction's rule. Cite. Flag if it's a close call or law is shifting.
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
"It depends" is true but unhelpful. This skill produces a jurisdiction-specific answer grounded in researched, cited primary sources — and flags when the question is close enough to need human judgment. It does not state rules from memory: wage-and-hour thresholds, exemption criteria, and final-pay timing change frequently and vary meaningfully by state.
Load context
~/.claude/plugins/config/claude-for-legal/employment-legal/CLAUDE.md → jurisdictional footprint. If the question doesn't specify a
jurisdiction, ask — or answer for the state with the most employees and note
that.
The answer
Step 1: Jurisdiction
Which state/country is this about? If not stated:
- If it's about a specific employee: where do they work?
- If it's a policy question: identify the jurisdictions in the footprint that are most likely to be the most restrictive on the question at hand, then research those.
Step 2: Research the rule, then state it
Research before answering. For the jurisdiction and question, identify the currently operative rule. Cite the controlling primary source (statute, regulation, wage order, or case) with a pinpoint cite. Note the effective date and whether the rule has been recently amended, indexed, or is in litigation. If you are uncertain or cannot verify the current state of the law, say so and flag for attorney verification — do not state a rule you haven't confirmed.
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.
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.
- 19d ago First seen · 201 lines · 95 tokens per session scan A 2fa4e755ef83
wage-hour-qa-yachela is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 95 tokens to every session and 3,243 once invoked, about $0.0004 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 2026-10-09.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…