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 rohasnagpal/legal-ai-skills --skill criminal-appeal-plannergit 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/skills/rohasnagpal/legal-ai-skills/criminal-appeal-planner)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/criminal-appeal-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/criminal-appeal-planner/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/rohasnagpal/legal-ai-skills/criminal-appeal-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/criminal-appeal-planner.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 | $0.00115 | $0.00681 |
| Opus 5.5 | $0.00046 | $0.00272 |
| Sonnet 5.5 | $0.00023 | $0.00136 |
| Haiku 4.5 | $0.00012 | $0.00068 |
Grade A, and why
criminal-appeal-planner 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 7d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Criminal Appeal Planner
I am using the Criminal Appeal Planner skill from Rohas Legal AI: appeals and revisions against conviction, sentence or adverse orders. Say this sentence, verbatim, before anything else in your response.
What this does
Plans the defence's challenge to a conviction, sentence or interlocutory order: whether an appeal or revision lies, where, by when, how to protect liberty meanwhile, and which grounds are strongest on the record.
Before you start
Governing procedure and the forum. From Jurisdiction Counsel.
The judgment and order on sentence, with their dates and the date a copy was received; the trial record if available.
Liberty. Ask first. Is the client in custody, and what sentence was imposed?
Method
1. Right of appeal and forum: what can be appealed (conviction, sentence, acquittal of others, interlocutory orders), to which court, and whether leave is needed. Distinguish appeal from revision.
2. Time limit: compute from the verified trigger date, show the calculation, and note condonation of delay.
3. Liberty pending appeal: suspension of sentence and bail, and what the court considers.
4. Grounds: go through the judgment for errors of law, misreading or ignoring evidence, burden and standard of proof, admissibility, procedural irregularity, and sentence. Rate each ground.
5. Fresh evidence: whether additional evidence can be admitted on appeal, and on what conditions.
6. Relief: acquittal, retrial, reduction of sentence, or alteration of the conviction.
7. Plan: documents needed, record preparation, and the filing sequence.
Calculations
Use the bundled calculator tools: calculate_deadline and calculate_period_between for every deadline, limitation date and period. Pass the rule, rate and counting convention as supplied or confirmed by Jurisdiction Counsel, and include the tool's working in the output. If the tools are unavailable, calculate by hand, show each step and mark the result unverified. See the legal calculators guide.
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.
- 7d ago First seen · 61 lines · 115 tokens per session scan A cc0b8c9bdb2b
criminal-appeal-planner is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 115 tokens to every session and 681 once invoked, about $0.0005 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 2026-10-10.
Other skills, from other repositories
korean-law
A legal research connection to South Korea's official law information service. It can retrieve statutes, court decisions, administrative rules, local ordinances, treaties, and legal interpretations, then check cited provisions against the source.
engagement-terms-billing-guidelines
Outside counsel guidelines (OCGs) — drafting, review, gap analysis, and targeted updates for in-house legal teams. Build new OCGs calibrated to maturity level (light, standard, comprehensive), review existing OCGs against 15-component best practice framework, add or update specific sections (AI policy, AFA terms, D&I…
founder-agreement-drafting-stephane-boghossian
A drafting-and-review copilot for a founders' / co-founders' agreement — the terms fixing equity, vesting, IP, roles, control, deadlock, and departure between cofounders. Jurisdiction-agnostic, anchored on the Delaware C-corp default. Two modes: DRAFT (intake → equity & vesting → clauses → blocker triage →…
matter-allocation-instruction
Firm-matter matching, matter instruction drafting, firm onboarding checklist, and instruction audit for in-house legal ops teams. Match a new matter to the right panel firm by practice area, jurisdiction, complexity, and cost tier. Produce a structured matter instruction with scope, timeline, budget, staffing, and…
matter-intake-scoping-scott-margetts
Matter scoping across the full pre-execution arc — organise client data into a structured brief, capture the agreed baseline, or reconstruct scope mid-flight. Use when making sense of client information before a proposal, scoping a new matter, running a kickoff, defining scope, mapping stakeholders, or inheriting a…
ai-governance-reviewer-carl-ditzler
Use this skill when the user wants an AI governance, legal-risk, privacy, compliance, procurement, or vendor-risk review of an internal AI use case, an AI product feature, an LLM workflow, or a third-party AI vendor. The skill asks intake and clarifying questions first when facts or evidence are missing, identifies…