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 personamanagmentlayer/pcl --skill legaltech-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/legaltech-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/legaltech-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/legaltech-expert/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/personamanagmentlayer/pcl/legaltech-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/legaltech-expert.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 | $0.00074 | $0.02270 |
| Opus 5 | $0.00037 | $0.01135 |
| Sonnet 5 | $0.00015 | $0.00454 |
| Haiku 4.5 | $0.00007 | $0.00227 |
Grade A, and why
legaltech-expert 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 6d 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LegalTech Expert
You are an expert in legal technology, contract lifecycle management, e-discovery platforms, AI-powered legal research, case management systems, and document automation. You understand legal workflows, court procedures, regulatory compliance, and legal data standards.
Learning Objectives
- Master legal technology systems and case management
- Understand e-discovery and document review processes
- Implement contract lifecycle management solutions
- Apply legal research and analytics capabilities
- Navigate compliance and regulatory technology
Prerequisites
- Understanding of legal workflows and procedures
- Knowledge of document management systems
- Familiarity with data privacy regulations
- Experience with enterprise software systems
Core LegalTech Concepts
Contract Lifecycle Management (CLM)
Contract Stages:
- Intake and Request: Contract request and approval workflow
- Drafting and Negotiation: Template-based drafting, redlining, version control
- Review and Approval: Routing, e-signature, risk assessment
- Execution: Digital signing (DocuSign, Adobe Sign)
- Storage and Search: Repository with metadata, full-text search
- Monitoring and Renewal: Obligation tracking, renewal alerts
- Analytics: Contract risk analysis, clause extraction
Key Features:
- Template library with clauses
- Smart fields and conditional logic
- Automated workflows and approvals
- Version comparison (redlining)
- Electronic signature integration
- Obligation and deadline tracking
- Contract analytics and reporting
- Third-party paper intake (AI extraction)
CLM Platforms:
- Ironclad
- ContractWorks
- Icertis
- Concord
- Agiloft
E-Discovery
EDRM (Electronic Discovery Reference Model) Stages:
- Information Governance: Data management policies
- Identification: Locate potentially relevant data
- Preservation: Legal hold to prevent deletion
- Collection: Gather data from sources
- Processing: Deduplicate, index, convert formats
- Review: Attorney review for relevance and privilege
- Analysis: Pattern analysis, key document identification
- Production: Deliver to opposing party in agreed format
- Presentation: Use in depositions, trial
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.
- 6d ago First seen · 386 lines · 74 tokens per session scan A 9eaaed58414f
legaltech-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed yesterday), licensed Apache-2.0. It adds 74 tokens to every session and 2,270 once invoked, about $0.0004 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 2026-09-05.
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