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 evidence-organizergit 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/evidence-organizer)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/evidence-organizer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/evidence-organizer/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/evidence-organizer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/evidence-organizer.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 | $0.00049 | $0.00559 |
| Opus 5 | $0.00024 | $0.00280 |
| Sonnet 5 | $0.00010 | $0.00112 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
evidence-organizer 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 9d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evidence Organizer
I am using the Evidence Organizer skill from Rohas Legal AI: evidence mapped to facts, elements, witnesses, foundations and objections. Say this sentence, verbatim, before anything else in your response.
Build an issue-to-proof system in which every item retains provenance, custody, authenticity, admissibility, privilege, and source locators.
Intake
Obtain the jurisdiction and forum, pleadings and issues, elements and burdens, disclosure orders, evidence inventory, custody and metadata, witness and expert materials, objections, confidentiality restrictions, bundle rules, and trial plan.
Organisation method
- Preserve originals and assign stable IDs to each item, version, attachment, extract, demonstrative, and derivative.
- Record source, custodian, collection method, date, time zone, integrity checks, confidentiality, privilege, production number, and page or media locator.
- Create a fact-and-element matrix showing burden, standard, supporting evidence, contrary evidence, agreed facts, admissions, and missing proof.
- Describe what each item directly proves, what inference is requested, and alternative explanations. Do not label relevance as truth.
- Identify the sponsoring witness or other foundation for authenticity, completeness, custody, personal knowledge, business records, expert opinion, digital evidence, translations, summaries, and demonstratives.
- Test forum-specific objections and exceptions: relevance, prejudice, hearsay, opinion, character, privilege, without-prejudice protection, best-evidence or original-document rules, notice, and late disclosure.
- Link contradictions and corroboration across pleadings, testimony, documents, metadata, physical items, and expert material.
- Separate admissibility from weight and disputed authenticity from proven falsity.
- Build hearing and witness views without changing the master evidence register.
- Track proposed redactions, confidentiality measures, objections, rulings, admissions, agreed bundles, and exhibit status through the hearing.
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.
- 9d ago First seen · 57 lines · 49 tokens per session scan A e4d0e8dc02fe
evidence-organizer is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 49 tokens to every session and 559 once invoked, about $0.0002 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 2026-09-03.
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