Design Submission Check
SeanJ1ang/design-judge-skills
Audit a design-award submission package against the current official rules for a specific award cycle.
Deeper risk assessment for a single feature or product area when the launch review found something that needs more than a line item.
$ npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install anthropics/claude-for-legal feature-risk-assessment --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/anthropics/claude-for-legal.git skills-src && mkdir -p .claude/skills && cp -r skills-src/product-legal/skills/feature-risk-assessment .claude/skills/feature-risk-assessment && rm -rf skills-srcUse ~/.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/
Install the "feature-risk-assessment" agent skill from https://github.com/anthropics/claude-for-legal/tree/main/product-legal/skills/feature-risk-assessment into .claude/skills/feature-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-risk-assessment", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/anthropics/claude-for-legal/tree/main/product-legal/skills/feature-risk-assessmentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install anthropics/claude-for-legal feature-risk-assessment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anthropics/claude-for-legal.git skills-src && mkdir -p .agents/skills && cp -r skills-src/product-legal/skills/feature-risk-assessment .agents/skills/feature-risk-assessment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "feature-risk-assessment" agent skill from https://github.com/anthropics/claude-for-legal/tree/main/product-legal/skills/feature-risk-assessment into .agents/skills/feature-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-risk-assessment", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install anthropics/claude-for-legal feature-risk-assessment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anthropics/claude-for-legal.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/product-legal/skills/feature-risk-assessment .cursor/skills/feature-risk-assessment && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "feature-risk-assessment" agent skill from https://github.com/anthropics/claude-for-legal/tree/main/product-legal/skills/feature-risk-assessment into .cursor/skills/feature-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-risk-assessment", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/anthropics/claude-for-legal.git --path product-legal/skills/feature-risk-assessment--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install anthropics/claude-for-legal feature-risk-assessment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anthropics/claude-for-legal.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/product-legal/skills/feature-risk-assessment .gemini/skills/feature-risk-assessment && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "feature-risk-assessment" agent skill from https://github.com/anthropics/claude-for-legal/tree/main/product-legal/skills/feature-risk-assessment into .gemini/skills/feature-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-risk-assessment", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install anthropics/claude-for-legal feature-risk-assessmentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/anthropics/claude-for-legal.git skills-src && mkdir -p .github/skills && cp -r skills-src/product-legal/skills/feature-risk-assessment .github/skills/feature-risk-assessment && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "feature-risk-assessment" agent skill from https://github.com/anthropics/claude-for-legal/tree/main/product-legal/skills/feature-risk-assessment into .github/skills/feature-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-risk-assessment", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install anthropics/claude-for-legal feature-risk-assessment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anthropics/claude-for-legal.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/product-legal/skills/feature-risk-assessment .opencode/skills/feature-risk-assessment && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "feature-risk-assessment" agent skill from https://github.com/anthropics/claude-for-legal/tree/main/product-legal/skills/feature-risk-assessment into .opencode/skills/feature-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-risk-assessment", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
feature-risk-assessmentDeeper risk assessment for a single feature or product area when the launch review found something that needs more than a line item.
Feature Risk Assessment is an agent skill from anthropics/claude-for-legal, published by the product's own GitHub organization. Deeper risk assessment for a single feature or product area when the launch review found something that needs more than a line item. Structured analysis: what could go wrong, how likely, how bad, what mitigates it. Use when user says "deep dive on this risk", "risk assessment for [feature]", "what could go wrong with", or when launch-review flags a novel issue.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Legal & Compliance, covering Feature launches and release readiness and Creative writing and fiction. The repository describes itself as: A suite of plugins for legal workflows. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4a6c651. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Feature Risk Assessment loads about 2.2k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 1,033 words of instructions outside code blocks.
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.
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.
The full file from anthropics/claude-for-legal at commit 4a6c651, republished under its Apache-2.0 licence (© anthropics). 1,033 words, ~2,227 tokens.
.claude/skills/feature-risk-assessment/SKILL.md (or your agent's skills folder).Matter context. Check ## Matter workspaces in the practice-level CLAUDE.md. If Enabled is ✗ (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run /product-legal:matter-workspace switch <slug> or say practice-level." Load the active matter's matter.md for matter-specific context and overrides. Write outputs to the matter folder at ~/.claude/plugins/config/claude-for-legal/product-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.
The launch review is broad. This is deep. When a single issue needs more than a table row — a novel AI feature, a children's product, something a regulator is actively looking at — this skill produces a standalone assessment.
Not every launch needs one. Most don't. This is for the 10% where "PIA done, shipped" isn't the right level of scrutiny.
If none of the above, the launch review is enough. Don't generate paperwork for its own sake.
One paragraph. What the feature does, what's new about it, why it got escalated to a full assessment.
For each distinct risk (aim for 2-5, not 15):
### Risk [N]: [Short name]
**Scenario:** [What would have to happen for this to go wrong. Be specific —
not "data breach" but "the recommendation algo surfaces a user's sensitive
category interest to someone who shouldn't see it because X."]
**Who gets hurt:** [Users? The company? A third party? Specific.]
**How likely:** [Low / Medium / High — with a reason. "Low — would require
both X and Y to fail simultaneously." Not just a vibes rating.]
**How bad if it happens:** [Low / Medium / High — with a reason. "High —
regulatory fine + class action exposure + press" vs. "Low — one angry
tweet, no actual harm."]
**Existing mitigations:** [What already reduces the likelihood or impact]
**Gap:** [What's missing, if anything]
**Residual risk:** [After existing mitigations — is this acceptable or does
it need more?]Only include if a regulator is actively interested in this space. If so:
Has another company done something similar? What happened?
Don't overweight precedent. Regulators change priorities; one company getting away with something doesn't mean the next one will.
Present 2-3 realistic paths:
| Option | Description | Risk reduction | Cost |
|---|---|---|---|
| A: Ship as designed | [current plan] | None | None |
| B: Ship with [mitigation] | [change] | [how much] | [eng effort, timeline, UX] |
| C: Don't ship [component] | [scope cut] | [how much] | [product impact] |Pick one. Explain why. Acknowledge what you're trading off.
**Recommended: Option [X]**
[Why. What risk remains. Why that's acceptable. Who accepts it.]
**If the answer is "not my call":** [Who decides, what they need to know]Before finalizing, check against ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md → Risk calibration:
/ai-governance-legal:aia-generation [feature] in parallel or
immediately after. The feature risk assessment frames the decision; the AIA
documents the AI system specifically in the format AI governance needs. They're
not duplicates: the FRA is a product-legal decision doc; the AIA is the
governance record./privacy-legal:pia-generation [feature]. The FRA's risk section
will likely overlap with the PIA's — flag that overlap so work isn't duplicated,
but both docs need to exist./ai-governance-legal:vendor-ai-review [vendor agreement] if not already done
during the launch review.Standalone doc, 2-4 pages. Prepend the work-product header from ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md ## Outputs (it differs by user role — see ## Who's using this).
Not a slide deck, not a memo to file — a decision document someone reads and then decides.
Save where ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md → Launch review process says review docs go. If the doc is going to be shared with anyone outside the privileged loop (e.g., posted to a broadly-shared ticket), drop the work-product header only for that externally-facing copy and keep the privileged original in the matter file.
If the assessment cites cases, statutes, regulations, or enforcement actions — in the Regulatory landscape or Precedent sections especially — those citations were generated by an AI model and have not been verified against a primary source. Before the decision document goes to a decisionmaker, verify each citation against a legal research tool (Westlaw, CourtListener, or your firm's research platform) for accuracy, good law status, and current enforcement posture. A risk assessment built on a fabricated enforcement action is worse than no assessment.
No silent supplement. If a research query to the configured legal research tool returns few or no results for the regime or precedent the assessment needs, report what was found and stop. Do NOT fill the gap from web search or model knowledge without asking. Say: "The search returned [N] results from [tool]. Coverage appears thin for [regime / precedent]. Options: (1) broaden the search query, (2) try a different research tool, (3) search the web — results will be tagged
[web search — verify]and should be checked against the issuing authority before relying, or (4) flag as unverified and stop. Which would you like?" A lawyer decides whether to accept lower-confidence sources.Source attribution. Tag every citation in the Regulatory landscape and Precedent sections with where it came from:
[Westlaw],[CourtListener],[regulator site], or the MCP tool name for citations retrieved from a legal research connector;[web search — verify]for web-search citations;[model knowledge — verify]for citations recalled from training data;[user provided]for citations from the feature team. Citations taggedverifycarry higher fabrication risk and should be checked first. Never strip or collapse the tags — the decisionmaker needs to see which citations to verify first.
End with the next-steps decision tree per CLAUDE.md ## Outputs. Customize the options to what this skill just produced — the five default branches (draft the X, escalate, get more facts, watch and wait, something else) are a starting point, not a lock-in. The tree is the output; the lawyer picks.
© anthropics, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in product-legal/skills/feature-risk-assessment of anthropics/claude-for-legal.
Open the folder on GitHubat commit 4a6c651
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in anthropics/claude-for-legal, which our catalogue first saw on October 7, 2026.
Feature Risk Assessment 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Feature Risk Assessment this skillanthropics/claude-for-legal | 9.6k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Design Submission CheckSeanJ1ang/design-judge-skills | 712 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Book Market Researchrobertguss/claude-code-toolkit | 124 | — | ~2.4k | Automated safety check: Pass | Proprietary | |
| .NET MAUI Release Readinessdotnet/maui | 23k | — | ~15k | Automated safety check: Pass | MIT | |
| Release ValidationMesh-LLM/mesh-llm | 3.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Final Release Reviewopenai/openai-agents-python | 30k | — | ~5.4k | Automated safety check: Pass | MIT |
SeanJ1ang/design-judge-skills
Audit a design-award submission package against the current official rules for a specific award cycle.
robertguss/claude-code-toolkit
Assess commercial viability of book concepts for Amazon KDP self-publishing.
dotnet/maui
Produces evidence-backed ship-readiness verdicts for .NET MAUI Servicing Releases and Previews, and drafts public-safe release handoff pages from the result.
Mesh-LLM/mesh-llm
A skill your agent uses when validating a MeshLLM release candidate or current HEAD against the last GitHub release, assembling the canonical feature/fix/modification inventory, testing locally…
openai/openai-agents-python
Assess a Python SDK release candidate or release plan against the previous release and recommend ship or block.
openai/openai-agents-js
Assess a JS SDK release candidate or release plan against the previous release and recommend ship or block.
anthropics/claude-for-legal
Structures a legal clinic client intake interview and produces a case summary with cross-area issue spotting, conflict flags and triage classification.
anthropics/claude-for-legal
Holds student work in a queue for a legal clinic professor to approve, edit-then-approve or return before anything reaches clients or courts.
anthropics/claude-for-legal
Builds a review grid with one row per document and one column per data point, each cell cited to a verbatim quote, built for M&A diligence and other batch reviews.
anthropics/claude-for-legal
Runs a category-by-category legal review of a product launch from a PRD or tracker ticket, calibrated to your team's framework, and writes a review memo in house format.
anthropics/claude-for-legal
Searches watched registries for community legal skills, shows matches with descriptions and offers the full SKILL.md before anything is installed.
anthropics/claude-for-legal
Shows which contracts renew soon and when notice must be sent by, working from a maintained renewal register, and warns about missed cancellation windows.
Deeper risk assessment for a single feature or product area when the launch review found something that needs more than a line item. Feature Risk Assessment is an agent skill from anthropics/claude-for-legal, published by the product's own GitHub organization. Deeper risk assessment for a single feature or product area when the launch review found something that needs more than a line item.
Feature Risk Assessment fits situations like: user says deep dive on this risk; risk assessment for [feature]; what could go wrong with; launch-review flags a novel issue.
Run `npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a claude-code`. Or copy the skill folder (product-legal/skills/feature-risk-assessment in anthropics/claude-for-legal) into .claude/skills/feature-risk-assessment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a codex`. Or copy the skill folder (product-legal/skills/feature-risk-assessment in anthropics/claude-for-legal) into .agents/skills/feature-risk-assessment in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add anthropics/claude-for-legal --skill feature-risk-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feature-risk-assessment, .gemini/skills/feature-risk-assessment, .github/skills/feature-risk-assessment and .opencode/skills/feature-risk-assessment in your project.
SKILL.md names no scripts, command-line tools or credentials: Feature Risk Assessment is instructions for the agent only.
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.
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.
Feature Risk Assessment is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Feature Risk Assessment: Design Submission Check (SeanJ1ang/design-judge-skills, 712 stars), Book Market Research (robertguss/claude-code-toolkit, 124 stars), .NET MAUI Release Readiness (dotnet/maui, 23k stars) and Release Validation (Mesh-LLM/mesh-llm, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
anthropics (a GitHub organization, an official publisher) maintains it in anthropics/claude-for-legal, which has 9,633 GitHub stars. The repository holds 147 skills in this directory. The repository was last updated on September 29, 2026.
Source: anthropics/claude-for-legal on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.