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 termination-review-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/termination-review-yachela)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/termination-review-yachela"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/termination-review-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/termination-review-yachela"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/termination-review-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 | $0.00070 | $0.04234 |
| Opus 5.5 | $0.00028 | $0.01694 |
| Sonnet 5.5 | $0.00014 | $0.00847 |
| Haiku 4.5 | $0.00007 | $0.00423 |
Grade A, and why
termination-review-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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/termination-review
- Load
~/.claude/plugins/config/claude-for-legal/employment-legal/CLAUDE.md→ termination review triggers, high-risk flags, severance practice, jurisdiction rules. - Use the workflow below.
- Walk the checklist. Check every high-risk flag.
- Final pay timing per employee's jurisdiction. Severance + release if applicable.
- If any high-risk flag fires: escalate per table, don't proceed without sign-off.
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
Most terminations are fine. A few are lawsuits waiting to happen. This skill runs the checklist that catches the second kind before the decision is final. The skill does not state the law — every jurisdiction-specific rule and release-period requirement is researched and cited at the time of review.
Load context
~/.claude/plugins/config/claude-for-legal/employment-legal/CLAUDE.md → termination review triggers, high-risk flags, standard severance,
jurisdiction table.
Output header
Prepend the work-product header from ~/.claude/plugins/config/claude-for-legal/employment-legal/CLAUDE.md → ## Outputs (it differs by user role — see ## Who's using this). Match the memo format from seed term memos referenced in that config where one exists. The work-product header is always first.
Workflow
Step 1: The basic facts
- Employee name (or role if staying abstract)
- Jurisdiction (where they work)
- Reason for termination (performance, misconduct, RIF, position elimination)
- How long employed
- Age (relevant to release requirements for older-worker protections)
- Whether any other employees are being terminated as part of the same decisional unit or program (relevant to group-termination release rules)
- When is the planned term date
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 · 272 lines · 70 tokens per session scan A 2d47a53b1421
termination-review-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 70 tokens to every session and 4,234 once invoked, about $0.0003 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.
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