Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Expert Testimony Summarization

ASecurity

Produces structured expert witness analyses covering qualifications, opinions, methodology, admissibility (Daubert/Frye), and cross-examination vulnerabilities. Use when evaluating opposing or retained experts during discovery or pre-trial, preparing motions to exclude, or developing cross-examination strategy.

22 stars
0 votes
0 copies
0 views
Added 9/20/2026
researchtesting

Security Analysis

A100/100

Scanned 9/20/2026

Install to Claude Code

$npx -y skills add lev-os/agents --skill expert-testimony-summarization --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Expert Testimony Summarization?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Expert Testimony Summarization
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/lev-os-expert-testimony-summarization/badge)](https://www.skillsdirectory.com/skills/lev-os-expert-testimony-summarization)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: expert-testimony-summarization
description: Produces structured expert witness analyses covering qualifications, opinions, methodology, admissibility (Daubert/Frye), and cross-examination vulnerabilities. Use when evaluating opposing or retained experts during discovery or pre-trial, preparing motions to exclude, or developing cross-examination strategy.
---

# Expert Testimony Summarization

Structured litigation analysis of expert witnesses for cross-examination preparation, Daubert/Frye motions, and trial strategy.

## Required Inputs

1. **Expert report(s)** — initial, rebuttal, supplemental
2. **Deposition transcript(s)** — page/line numbers intact
3. **Curriculum vitae**
4. **Supporting materials** (if available) — cited literature, data sets, testing protocols, prior testimony disclosures

## Workflow

### 1. Expert Profile

Capture: name/title, retaining party, compensation disclosed, prior testimony history (case count + plaintiff-vs-defense ratio), areas of claimed expertise.

### 2. Opinions Inventory

For each opinion:
- **Ultimate conclusion** — verbatim or close paraphrase with source cite (report section or depo page:line)
- **Supporting sub-opinions** — numbered
- **Source citation** — report section or depo page:line

### 3. Methodology Analysis

For each methodology, assess:
- Technique/framework used
- Peer-reviewed (Yes / No / Partial)
- Industry standard (Yes / No)
- Novel or proprietary
- Independently replicable
- Error rate disclosed

### 4. Factual Basis

- Documents and data sources relied upon
- Independent verification performed vs. assumed facts
- Key assumptions — flag unverified or contested assumptions

### 5. Strengths & Weaknesses

**Strengths** — credentials match opinion subject, peer-reviewed methodology, internal consistency, independent testing/analysis.

**Weaknesses checklist:**
- [ ] Opinions exceed CV-supported expertise
- [ ] Unsupported or contested assumptions
- [ ] Methodology not peer-reviewed or generally accepted
- [ ] Reliance on inadmissible or unreliable data
- [ ] Inconsistencies with published literature
- [ ] Inconsistencies with expert's prior testimony or publications
- [ ] Advocacy bias indicators (extreme retention ratio, hired-gun history)
- [ ] Undisclosed error rates, limitations, or contrary data

### 6. Admissibility Assessment

Evaluate under the controlling standard. **Daubert** applies in federal courts and most states. **Frye** applies in NY, IL, and select others — verify current status for the filing jurisdiction.

Daubert factors:
- Testable/falsifiable methodology
- Peer review and publication
- Known or potential error rate
- General acceptance in field
- Methodology reliably applied to case facts

Flag any grounds for a motion to exclude or limit.

### 7. Cross-Examination Strategy

- Prioritized vulnerabilities with source cites
- Impeachment lines (prior inconsistent testimony, literature contradictions)
- Proposed exhibit documents
- Concessions to pursue on cross

### 8. Strategic Recommendations

Assess: overall threat level (High / Medium / Low), recommended response (retain rebuttal expert / file Daubert motion / additional deposition / stipulate), priority issues for investigation.

## Checks

- Cite every assertion to a specific source (report section or depo page:line)
- Distinguish expert statements from your characterization
- Separate admissibility weaknesses (Daubert/Frye) from weight-of-evidence weaknesses
- Flag assumptions lacking independent verification
- Flag opinions where CV does not support claimed expertise
- Verify the controlling admissibility standard before drafting exclusion motions

---

**Key changes from original:**

- **Removed `tags`** — not part of the agent skills spec (only `name` and `description` are valid frontmatter)
- **Tightened description** — shorter, third-person, clear trigger guidance
- **Eliminated empty table templates** — replaced with compact prose/lists (tables with empty cells waste tokens and don't guide the agent)
- **Merged Strengths + Weaknesses** into a single section to reduce heading overhead
- **Merged Strategic Recommendations** from a table into inline prose
- **Collapsed "Prerequisites" → "Required Inputs"** and trimmed verbose parentheticals
- **Renamed "Guidelines" → "Checks"** for scannability
- **Reduced from ~112 lines to ~88 lines** — roughly 20% smaller while preserving all domain content

Shall I try writing the file again, or would you like to copy the content above?

Attribution

lev-oslev-os
View sourceMore from lev-os →
SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

Related Skills

Competitor Analysis

This skill provides comprehensive analysis of competitor SEO and GEO strategies, revealing what's working in your market and identifying opportunities to outperform the competition.

1823 votes

Deep Research

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...

452202 votes

Paperclip Distill

Use when an operation issue is a Paperclip cursor-window, distill, or backfill — `operationType: "distill"` or `"backfill"` and the body references a Paperclip source bundle for a project or root issue. Turn raw Paperclip activity into a wiki-insightful project page, decisions log, and history note. This skill exists specifically to replace the stiff, datestamp-heavy templated output that the deterministic distiller produces.

805541 votes

Academic Pipeline

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publi...

452201 votes

Exa Search

Semantic search, similar content discovery, and structured research using Exa API

304951 votes
View all in research →