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-evidence-admissibility-analystgit 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-evidence-admissibility-analyst)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/criminal-evidence-admissibility-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/criminal-evidence-admissibility-analyst/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-evidence-admissibility-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/criminal-evidence-admissibility-analyst.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 | $0.00121 | $0.00630 |
| Opus 5.5 | $0.00048 | $0.00252 |
| Sonnet 5.5 | $0.00024 | $0.00126 |
| Haiku 4.5 | $0.00012 | $0.00063 |
Grade A, and why
criminal-evidence-admissibility-analyst 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Criminal Evidence Admissibility Analyst
I am using the Criminal Evidence Admissibility Analyst skill from Rohas Legal AI: admissibility and weight of evidence in a criminal case. Say this sentence, verbatim, before anything else in your response.
What this does
Reviews each item of prosecution evidence for admissibility and weight, and plans the objections, challenges and requests that follow. It focuses on the categories where cases are most often won or lost: statements and confessions, electronic records, recoveries, identification, and forensic and expert evidence.
Before you start
Governing evidence law and procedure. From Jurisdiction Counsel, as in force on the relevant dates.
The evidence list: each item, how and when it was obtained, by whom, and the documents recording it.
Method
1. Build the evidence inventory: item, source, date obtained, method, custody record, purpose in the prosecution case.
2. Statements and confessions: to whom made, in custody or not, voluntariness, warnings given, presence of a lawyer, recording, and any statutory bar on use.
3. Electronic records: source device, extraction method, hash values, certification required by the governing law, and integrity gaps.
4. Recoveries and seizures: lawful authority, witnesses, memos, sealing and chain of custody.
5. Identification: procedure followed, delay, prior exposure to the accused, and reliability.
6. Expert and forensic evidence: qualification, method, laboratory accreditation, chain of custody, and whether the opinion goes beyond the data.
7. Hearsay and illegally obtained evidence: the governing rule and any discretion to exclude.
8. Plan: objections at trial, applications for disclosure or re-examination, defence expert needs, and cross-examination points for cross-examination-planner.
Output
1. Header. Case, governing law, date.
2. Evidence admissibility table. Item | Issue | Admissible? | Weight | Action.
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 · 55 lines · 121 tokens per session scan A 996c3a500541
criminal-evidence-admissibility-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 121 tokens to every session and 630 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.
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