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 90le/worker-rights-cn --skill case-intakegit clone --depth 1 https://github.com/90le/worker-rights-cnWrote 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/90le/worker-rights-cn/case-intake)<a href="https://agentmods.dev/skills/90le/worker-rights-cn/case-intake"><img src="https://agentmods.dev/badge/skills/90le/worker-rights-cn/case-intake/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/90le/worker-rights-cn/case-intake"><img src="https://agentmods.dev/badge/skills/90le/worker-rights-cn/case-intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.00548 |
| Opus 5 | $0.00032 | $0.00274 |
| Sonnet 5 | $0.00013 | $0.00110 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
case-intake 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 10d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Labor Case Intake
Overview
Collect facts before giving legal conclusions. Produce a structured case file, identify missing facts, and route the matter to the right follow-up skill.
Workflow
- Start with jurisdiction, employment status, timeline, wage, contract, social insurance, dispute trigger, and user goal.
- Ask only the minimum high-impact follow-up questions needed for the next decision.
- Separate facts from user assumptions and legal conclusions.
- Flag urgent deadlines, signing risks, and evidence preservation needs.
- Output a normalized case object and a short next-step recommendation.
Intake Priorities
Collect these first:
- City where the work was mainly performed.
- Employer legal name and actual employing entity if different.
- Start date, current status, and expected or actual end date.
- Average monthly wage for the last 12 months or shorter actual period.
- Whether a written labor contract was signed and when.
- Whether social insurance and housing fund were paid.
- Termination or dispute trigger: resignation pressure, mutual termination, dismissal notice, economic layoff, contract expiry, unpaid wages, job transfer, salary reduction.
- Current documents: offer, contract, termination notice, resignation letter, separation agreement, salary slips, attendance, chats, emails, social insurance records.
Output Format
Return:
case_summary: 3 to 6 plain-language bullets.structured_case: YAML usingreferences/intake-schema.md.missing_facts: prioritized questions, no more than 8 at once.evidence_now: evidence to preserve immediately.risk_flags: urgent signing, limitation period, pregnancy/medical period, occupational disease, work injury, non-compete, foreign worker, executive status, group layoff, high-value case.recommended_next_skill: one oflayoff-defense,compensation-calculator,agreement-review,evidence-builder, orarbitration-drafter.
Legal Safety
Do not advise the user to fabricate, alter, backdate, or illegally obtain evidence. If facts are missing, label the conclusion as uncertain instead of filling gaps.
What ships with it
2 files 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.
- 10d ago First seen · 53 lines · 64 tokens per session scan A 2df070b5950d
case-intake is a skill published in the GitHub repository 90le/worker-rights-cn (93 stars, last pushed 29d ago), licensed Apache-2.0. It adds 64 tokens to every session and 548 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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