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 zgbrenner/agentcounsel --skill wage-hour-qagit clone --depth 1 https://github.com/zgbrenner/agentcounselWrote 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/zgbrenner/agentcounsel/wage-hour-qa)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/wage-hour-qa"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/wage-hour-qa/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/zgbrenner/agentcounsel/wage-hour-qa"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/wage-hour-qa.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 | $0.00066 | $0.03452 |
| Opus 5 | $0.00033 | $0.01726 |
| Sonnet 5 | $0.00013 | $0.00690 |
| Haiku 4.5 | $0.00007 | $0.00345 |
Grade A, and why
Wage and Hour Question Triage 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wage and Hour Question Triage
Purpose
Produce a structured, attorney-ready draft analysis of a specific wage-and-hour or related employment question. The skill organizes the question, confirms the jurisdiction and operative facts, identifies what controlling rules must be researched and verified, applies those researched rules to the facts in a disciplined way, and flags whether the answer is clear, borderline, or in flux. It produces draft legal work product for attorney review — not legal advice, not a legal conclusion, and not a substitute for employment counsel.
This skill's entire value is the discipline it imposes: identify the jurisdiction, route every controlling rule to verified research, apply the researched rule to the facts, and flag close calls. It does not state any wage-and-hour rule, threshold, multiplier, deadline, exemption criterion, or computation formula from memory.
Use When
- A user asks a specific question about overtime eligibility, exempt vs. non-exempt status, meal or rest break entitlements, final-pay timing, paid-time-off payout obligations, or leave eligibility for a particular worker or role.
- An employer, HR professional, or attorney needs a structured, research-ready intake of a wage-and-hour issue before legal analysis begins.
- A user asks: "Is this employee eligible for overtime?", "Do we have to pay out accrued PTO on termination?", "What are our break obligations for this schedule?", or a similar specific question.
- A question involves computing back-pay or unpaid wages and the user needs to understand what must be researched and verified before any figure is calculated.
- A question arises in a multi-jurisdiction employment context and the most-restrictive jurisdiction must be identified before analysis can begin.
Required Inputs
- The specific question: the precise wage-and-hour or employment question to be analyzed. If the question is vague, clarify it before proceeding.
- The jurisdiction(s): the state, province, or country whose law governs the work. For a multi-jurisdiction employer, all relevant jurisdictions where the work is performed. If unknown, flag as
[CONFIRM: governing jurisdiction]and do not proceed past fact-gathering. - The operative facts: the job title, a description of the worker's actual day-to-day duties and responsibilities, compensation structure and pay rate, hours worked and schedule, and the specific actions, payments, or events that gave rise to the question. General or conclusory descriptions of duties are not sufficient; the analysis depends on what the worker actually does.
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.
- 11d ago First seen · 145 lines · 66 tokens per session scan A f568e2af033d
Wage and Hour Question Triage is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 3,452 once invoked, about $0.0003 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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