Agent skill

Runtime Admissibility Review

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

Determines whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible for execution or institutional reliance under current authority, delegated scope…

Custom licenceAuto-check passed

Install Runtime Admissibility Review

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

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

GitHub CLI
$ gh skill install lawve-ai/awesome-legal-skills runtime-admissibility-review --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/runtime-admissibility-review-arkadiy-miteiko .claude/skills/runtime-admissibility-review && 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
runtime-admissibility-review
GitHub stars
847
Token cost
~10k tokens
SKILL.md length
5,120 words
Files
8
Skills in repo
154
Repo updated
First seen
Licence
Custom licence

At a glance

Determines whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible for execution or institutional reliance under current authority, delegated scope…

  • Works in 12 steps: Proposed Action → Agent Identity → Authority Source → …
  • Communicates externally
  • SKILL.md covers Purpose, Core Principle, Relationship to Agent… and Key Distinction, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Runtime Admissibility Review is an agent skill from lawve-ai/awesome-legal-skills. Determines whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible for execution or institutional reliance under current authority, delegated scope, evidence, facts, policy, risk, escalation, and revocation conditions. Use this Skill before an enterprise or regulated AI agent executes, updates records, triggers workflows, communicates externally, or before an institution relies on an agentic output in a way that creates consequence.

Its SKILL.md is about 10k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `README.md`, `demo/01_demo_agent_authority_charter_excerpt.md` and `demo/02_demo_proposed_runtime_action_record.md`).

The repository describes itself as: A curated list of awesome Agent Skills for automating legal work.

When your agent uses it

  • Communicates externally
  • Before an institution relies on an agentic output in a way that creates consequence

Example prompts

  • “Use the runtime-admissibility-review skill to determine whether a specific AI-agent action, output, recommendation, or proposed commitment remains…”
  • “/runtime-admissibility-review”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Proposed Action
  2. Agent Identity
  3. Authority Source
  4. Scope
  5. Current Facts
  6. Evidence Available
  7. Human Approval Status
  8. Escalation History
  9. Revocation or Suspension Status
  10. Reliance / Consequence Context
  11. Identify the Action Under Review
  12. Classify the Consequence Level

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

Runtime Admissibility Review loads about 10k tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 5,120 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~128
When it runs · the whole SKILL.md, loaded when a task matches
~10k

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 5,120 words (~10,146 tokens).

“This Skill helps legal, compliance, risk, product, operations, audit, and AI governance teams determine whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible at runtime before execution or before institutional reliance.”

— opening of SKILL.md by lawve-ai, Custom licence
name
runtime-admissibility-review
category
Compliance & Regulatory
tags
AI governance, agentic AI, runtime governance, admissibility review, delegated authority, execution control, legal operations, compliance, risk management…

Read the full SKILL.md on GitHub

Files

SKILL.md and 7 other files in skills/runtime-admissibility-review-arkadiy-miteiko of lawve-ai/awesome-legal-skills.

  • SKILL.md
  • README.md
  • demo/01_demo_agent_authority_charter_excerpt.md
  • demo/02_demo_proposed_runtime_action_record.md
  • demo/03_demo_policy_and_threshold_excerpt.md
  • demo/04_demo_current_state_evidence_log.md
  • demo/05_demo_risk_and_escalation_notes.md
  • demo/README.md

Open the folder on GitHubat commit 045f738

Compare with similar skills

Runtime Admissibility Review 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.

Runtime Admissibility Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Runtime Admissibility Review this skilllawve-ai/awesome-legal-skills847—~10kAutomated safety check: PassCustom licence
ActionsJetBrains/intellij-community21k—~341Automated safety check: PassCustom licence
Laravel Actionscoollabsio/coolify63k—~2.4kAutomated safety check: PassApache-2.0
ActionsBuilderIO/agent-native7.1k—~4.5kAutomated safety check: PassNone
GitHub Actions Efficiencygithub/awesome-copilot40k—~1.1kAutomated safety check: PassMIT
GitHub Actionssickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT

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Questions about Runtime Admissibility Review

What does Runtime Admissibility Review do?

Determines whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible for execution or institutional reliance under current authority, delegated scope…. Runtime Admissibility Review is an agent skill from lawve-ai/awesome-legal-skills. Determines whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible for execution or institutional reliance under current authority, delegated scope, evidence, facts, policy, risk, escalation, and revocation conditions.

When should I use Runtime Admissibility Review?

Runtime Admissibility Review fits situations like: communicates externally; before an institution relies on an agentic output in a way that creates consequence.

How do I install Runtime Admissibility Review in Claude Code?

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

How do I install Runtime Admissibility Review in Codex?

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

Can I use Runtime Admissibility Review 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 runtime-admissibility-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/runtime-admissibility-review, .gemini/skills/runtime-admissibility-review, .github/skills/runtime-admissibility-review and .opencode/skills/runtime-admissibility-review in your project.

What does Runtime Admissibility Review need to run?

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

Does Runtime Admissibility Review 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 Runtime Admissibility Review 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 Runtime Admissibility Review use?

Runtime Admissibility Review 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 Runtime Admissibility Review use?

About 10k tokens (SKILL.md is roughly 41k 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 Runtime Admissibility Review?

Skills that share tags, products or a category with Runtime Admissibility Review: Actions (JetBrains/intellij-community, 21k stars), Laravel Actions (coollabsio/coolify, 63k stars), Actions (BuilderIO/agent-native, 7.1k stars) and GitHub Actions Efficiency (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Runtime Admissibility Review?

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.