Agent skill

Panel Review Rationalisation

by lawve-ai in lawve-ai/awesome-legal-skills

Panel health assessment, firm exit management, coverage gap analysis, and panel refresh brief for in-house legal ops teams.

Custom licenceAuto-check passedSales & Support

Install Panel Review Rationalisation

skills CLI
$ npx skills add lawve-ai/awesome-legal-skills --skill panel-review-rationalisation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lawve-ai/awesome-legal-skills panel-review-rationalisation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/panel-review-rationalisation-scott-margetts .claude/skills/panel-review-rationalisation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
panel-review-rationalisation
GitHub stars
847
Token cost
~11k tokens
SKILL.md length
5,963 words
Files
2
Skills in repo
154
Repo updated
First seen
Licence
Custom licence

At a glance

Panel health assessment, firm exit management, coverage gap analysis, and panel refresh brief for in-house legal ops teams.

  • Works in 3 steps: Produce the Panel Health Report —… → Produce the GC Panel Review Note. → Observations and follow-up questions…
  • : review our panel
  • SKILL.md covers Description, What This Skill Does, Pre-flight — Confirm and Fill and Mode 1: Panel Health Assessment, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Panel Review Rationalisation is an agent skill from lawve-ai/awesome-legal-skills. Panel health assessment, firm exit management, coverage gap analysis, and panel refresh brief for in-house legal ops teams. Produce an annual Panel Health Report synthesising scorecard data, billing compliance, and step-out patterns into per-firm recommendations — Retain, Watch, Improvement Plan, or Exit Review. Produce a firm exit pack: formal exit notice with active matter transition plan, plus an internal exit record. Identify practice area, geographic, or tier gaps and produce a structured Coverage Gap Report…

Its SKILL.md is about 11k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Sales & Support, covering Test coverage and Proposals and quotes. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work.

When your agent uses it

  • : review our panel
  • Annual panel review
  • Is our panel working
  • Which firms should we exit

Example prompts

  • “review our panel”
  • “annual panel review”
  • “is our panel working”
  • “/panel-review-rationalisation”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Produce the Panel Health Report — populate the per-firm assessment table, panel-level findings, and recommended actions inside the…
  2. Produce the GC Panel Review Note.
  3. Observations and follow-up questions come after both documents — not before them. Do not withhold the GC Panel Review Note pending…

What it can do on your machine

Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Panel Review Rationalisation loads about 11k tokens when it runs. Until then it costs about 237 tokens; SKILL.md has 5,963 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~237
When it runs · the whole SKILL.md, loaded when a task matches
~11k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 5,963 words (~11,324 tokens).

“Panel health assessment, firm exit management, coverage gap analysis, and panel refresh brief for in-house legal ops teams. Produce an annual Panel Health Report synthesising scorecard data, billing compliance, and step-out patterns into per-firm recommendations — Retain, Watch, Improvement Plan…”

— opening of SKILL.md by lawve-ai, Custom licence
name
panel-review-rationalisation

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills/panel-review-rationalisation-scott-margetts of lawve-ai/awesome-legal-skills.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 045f738

Compare with similar skills

Panel Review Rationalisation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Panel Review Rationalisation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Panel Review Rationalisation this skilllawve-ai/awesome-legal-skills847—~11kAutomated safety check: PassCustom licence
Sales Engineerborghei/Claude-Skills891—~4.3kAutomated safety check: PassMIT
Counter Proposal Generatorzubair-trabzada/ai-legal-claude1.8k—~2.4kAutomated safety check: PassNone
Rfc Createjiangzhe/doradb121—~1.2kAutomated safety check: PassApache-2.0
Devil Advocatejeremylongshore/tons-of-skills-marketplace2.8k—~2.1kAutomated safety check: PassMIT
Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore19540 repos~3.2kAutomated safety check: PassMIT

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Questions about Panel Review Rationalisation

What does Panel Review Rationalisation do?

Panel health assessment, firm exit management, coverage gap analysis, and panel refresh brief for in-house legal ops teams. Panel Review Rationalisation is an agent skill from lawve-ai/awesome-legal-skills. Panel health assessment, firm exit management, coverage gap analysis, and panel refresh brief for in-house legal ops teams.

When should I use Panel Review Rationalisation?

Panel Review Rationalisation fits situations like: : review our panel; annual panel review; is our panel working; which firms should we exit.

How do I install Panel Review Rationalisation in Claude Code?

Run `npx skills add lawve-ai/awesome-legal-skills --skill panel-review-rationalisation -a claude-code`. Or copy the skill folder (skills/panel-review-rationalisation-scott-margetts in lawve-ai/awesome-legal-skills) into .claude/skills/panel-review-rationalisation in your project. Claude Code loads it when a task matches its description.

How do I install Panel Review Rationalisation in Codex?

Run `npx skills add lawve-ai/awesome-legal-skills --skill panel-review-rationalisation -a codex`. Or copy the skill folder (skills/panel-review-rationalisation-scott-margetts in lawve-ai/awesome-legal-skills) into .agents/skills/panel-review-rationalisation in your project. Codex loads it when a task matches its description.

Can I use Panel Review Rationalisation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill panel-review-rationalisation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/panel-review-rationalisation, .gemini/skills/panel-review-rationalisation, .github/skills/panel-review-rationalisation and .opencode/skills/panel-review-rationalisation in your project.

What does Panel Review Rationalisation need to run?

SKILL.md names no scripts, command-line tools or credentials: Panel Review Rationalisation is instructions for the agent only.

Does Panel Review Rationalisation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Panel Review Rationalisation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Panel Review Rationalisation use?

Panel Review Rationalisation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Panel Review Rationalisation use?

About 11k tokens (SKILL.md is roughly 45k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Panel Review Rationalisation?

Skills that share tags, products or a category with Panel Review Rationalisation: Sales Engineer (borghei/Claude-Skills, 891 stars), Counter Proposal Generator (zubair-trabzada/ai-legal-claude, 1.8k stars), Rfc Create (jiangzhe/doradb, 121 stars) and Devil Advocate (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Panel Review Rationalisation?

lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.

Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.