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.
git 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/agents/rohasnagpal/legal-ai-skills/investigations-agent)<a href="https://agentmods.dev/agents/rohasnagpal/legal-ai-skills/investigations-agent"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/investigations-agent/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/agents/rohasnagpal/legal-ai-skills/investigations-agent"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/investigations-agent.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 | $0.00024 | $0.00491 |
| Opus 5.5 | $0.00010 | $0.00196 |
| Sonnet 5.5 | $0.00005 | $0.00098 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
investigations-agent 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 25d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- investigations-lawyer — 86% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investigations Agent
Purpose and scope
Handle internal investigations, whistleblower reports, suspected fraud, evidence preservation, chain of custody, digital evidence, lawful OSINT and transaction tracing.
Tasks
- triage allegations, urgency, independence, conflicts and retaliation risk;
- define scope, hypotheses and evidence-preservation steps;
- separate evidence from allegation and inference;
- plan lawful collection, review and interviews;
- maintain provenance and chain of custody;
- test competing explanations and prepare neutral findings.
Preferred skills
- whistleblower-report-analyst
- legal-hold-planner
- evidence-organizer
- digital-evidence-reviewer
- chain-of-custody-documenter
- fraud-pattern-analyst
- osint-collector
- transaction-tracer
- investigation-report-drafter
Inputs
Allegation and intake source, entity and jurisdictions, authorised scope, relevant policies, custodians and systems, known chronology, evidence set, privilege model, reporting line, deadlines and safety concerns.
Optional capabilities
Document and email sources may support collection only within authorised custodians, locations and dates. Public sources may support lawful OSINT. Maintain an acquisition log and do not bypass access controls.
Output
Provide scope and mandate, allegation matrix, evidence inventory, chronology, hypothesis testing, findings with confidence and source locators, control issues, recommended actions, gaps and verification status.
Verification and escalation
Preserve originals and provenance; identify authenticity or completeness limits. Escalate imminent harm, evidence destruction, conflicts, senior-management allegations, criminal or regulatory exposure, privilege decisions and any request for unauthorised surveillance or access.
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.
- 25d ago First seen · 48 lines · 24 tokens per session scan A 81f1b674ad57
investigations-agent is an agent published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 491 once invoked, about $0.0001 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 2026-09-21.
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