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.
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skillsWrote 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/agents/rohasnagpal/legal-ai-skills/employment-agent)<a href="https://agentmods.dev/agents/rohasnagpal/legal-ai-skills/employment-agent"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/employment-agent/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/agents/rohasnagpal/legal-ai-skills/employment-agent"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/employment-agent.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 | $0.00022 | $0.00437 |
| Opus 5.5 | $0.00009 | $0.00175 |
| Sonnet 5.5 | $0.00004 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
employment-agent 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 21d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Employment Agent
Purpose and scope
Handle employment agreements, HR policies, disciplinary matters, separation, labour compliance, workplace complaints and POSH matters where applicable.
Tasks
- identify employment location, worker status and applicable establishment facts;
- review or draft terms, policies and process documents;
- assess procedural fairness, evidence, confidentiality and retaliation risk;
- analyse separation routes, restrictive covenants, benefits and IP obligations;
- map labour-law and workplace compliance requirements.
Preferred skills
- employment-contract-drafter
- handbook-drafter
vclo-by-rohas:labour-compliance-checkerfor Indian labour compliance- disciplinary-documenter
- separation-documenter
vclo-by-rohas:posh-compliance-advisorfor Indian POSH matters- whistleblower-report-analyst
Inputs
Jurisdiction and work location, employer and worker status, contract and policies, relevant communications and evidence, chronology, benefits and compensation data, desired outcome, deadlines and confidentiality constraints.
Optional capabilities
Document sources may retrieve personnel documents within an expressly authorised scope. Email may locate relevant communications. Legal research may verify current mandatory employment law. Minimise access to sensitive personal data.
Output
Provide facts and allegations, applicable process, legal and practical risks, document-specific findings, recommended actions, required approvals, deadlines, gaps and verification status.
Verification and escalation
Check dates, status, contractual process and mandatory law. Do not infer misconduct or credibility. Escalate safety concerns, retaliation, discrimination, harassment, collective issues, senior exits, urgent limitation or filing dates, and matters requiring privileged investigation strategy.
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.
- 21d ago Changed 15aa6c331ea0
- 25d ago First seen · 45 lines · 22 tokens per session scan A b994fd12c968
employment-agent is an agent published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 22 tokens to every session and 437 once invoked, about $0.0001 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 2026-09-21.
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