Best for
- Produce a structured, attorney-ready legal issues register for a product or feature before it launches. This skill spots potential legal exposure across multiple practice areas, routes each issue to the right specialist…
zgbrenner/agentcounsel/skills/product-legal/launch-review/SKILL.md
Use when conducting a pre-launch legal issue-spotting review for a new product or feature to produce a structured issues register and a draft go/hold/conditions recommendation for attorney sign-off.
Decision brief
Use when conducting a pre-launch legal issue-spotting review for a new product or feature to produce a structured issues register and a draft go/hold/conditions recommendation for attorney sign-off.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/zgbrenner/agentcounsel --skill "skills/product-legal/launch-review"Inspect the Agent Skill "Launch Review" from https://github.com/zgbrenner/agentcounsel/blob/3b2cace3160051027a81a1ec1a41df5667145a9d/skills/product-legal/launch-review/SKILL.md at commit 3b2cace3160051027a81a1ec1a41df5667145a9d. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
1. Confirm inputs. Verify that all required inputs are present. If any are missing, stop and request them. List what was received and what, if anything, was assumed.
[ ] All required inputs have been received and are complete and accurate.
Produce a structured, attorney-ready legal issues register for a product or feature before it launches. This skill spots potential legal exposure across multiple practice areas, routes each issue to the right specialist skill or attorney, and frames a draft go / hold / condition…
A team is preparing to launch a new product, feature, app, or major update and needs a legal issues review before go-live.
If any of these inputs are missing, stop and request them before proceeding. Do not fabricate facts, assume data practices, or guess at claims.
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 93/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 17 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Produce a structured, attorney-ready legal issues register for a product or feature before it launches. This skill spots potential legal exposure across multiple practice areas, routes each issue to the right specialist skill or attorney, and frames a draft go / hold / conditions recommendation. It produces draft legal work product for attorney review — not legal advice, not a legal clearance, and not a certification of compliance.
If any of these inputs are missing, stop and request them before proceeding. Do not fabricate facts, assume data practices, or guess at claims.
contract-risk-review or nda-review).privacy-policy-gap-review).marketing-claims-review).ai-feature-review or model-risk-triage).core/source-and-citation-discipline.md. Never invent legal authority, citations, quotations, statutes, cases, regulations, filing deadlines, or procedural rules. Label what is a provided source, a user-provided fact, an assumption, a legal inference, or an item requiring attorney verification, and use a citation placeholder such as [Attorney to insert authority] when no source is available.[CONFIRM: ...]).Confirm inputs. Verify that all required inputs are present. If any are missing, stop and request them. List what was received and what, if anything, was assumed.
Identify jurisdiction and regulatory context. Based on target markets and user population, identify the likely legal jurisdictions and regulatory frameworks in play (e.g., U.S. federal, state-level consumer protection, EU/EEA, UK, APAC). Flag any jurisdictions that require specialist local counsel review.
Intellectual property and ownership. Review what IP the product creates or relies on. Spot issues: ownership of outputs, use of third-party content, trademark clearance for product name and claims, patent exposure, and trade-secret handling. Flag for IP counsel.
Privacy and data protection. For each category of personal data collected: identify the likely legal basis for processing, flag sensitive data categories, assess whether a privacy notice update is required, and identify consent, data retention, cross-border transfer, or data subject rights issues. Route to privacy counsel or privacy-policy-gap-review as appropriate.
Marketing claims and advertising. Review all user-facing representations. For each material claim, flag whether it is objective, comparative, superlative, health/efficacy, environmental, AI-related, or pricing-related, and identify substantiation requirements. Route detailed claim-by-claim analysis to marketing-claims-review.
Terms of service and contract impact. Assess whether the launch changes the scope of the existing terms of service, creates new obligations for users, modifies payment or subscription terms, or creates new liabilities. Flag whether existing terms cover the new functionality or require amendment. Route detailed ToS review to terms-of-service-review.
Regulatory exposure. Spot regulated-industry issues: fintech/payments, healthcare/wellness, children's products, employment/HR tools, real estate, insurance, gambling, alcohol, firearms, or other sector-specific regulation. Flag each area for specialist counsel.
AI and automated decision-making. If the feature uses AI, machine learning, or algorithmic decision-making, flag training-data rights, output ownership, transparency and disclosure obligations, high-risk use cases, and vendor terms. Route to ai-feature-review.
Open-source and third-party licensing. Review declared third-party dependencies and open-source libraries. Flag any license type (GPL, AGPL, copyleft) that may impose distribution or disclosure obligations. Flag for IP or licensing counsel.
Accessibility. Flag whether the product has accessibility obligations (e.g., ADA/WCAG in the U.S., EN 301 549 in the EU) based on the product type and market. Note: accessibility technical assessment is outside this skill's scope.
Consumer protection. Spot unfair, deceptive, or abusive acts or practices exposure, dark patterns, auto-renewal disclosure requirements, and any sector-specific consumer protection obligations.
Compile the issues register. Assemble every flagged issue into the structured table described in the Output Format section, using templates/launch-issues-register.md. Assign severity (High / Medium / Low / Unknown), owner (practice area or specialist skill), and blocking status.
Draft the go / hold / conditions recommendation. Based on the issues register, draft a recommendation framed as follows: Go (no blocking issues identified), Hold (one or more blocking issues require resolution before launch), or Conditions (launch may proceed subject to specified conditions). Label this as a draft for attorney sign-off — it is not a legal clearance.
List assumptions and open items. State every assumption made and every [CONFIRM: ...] item that must be resolved before the review can be relied upon.
Deliver the following sections, in order, labeled as DRAFT — FOR ATTORNEY REVIEW ONLY:
Review Summary: product/feature name, launch date, target markets, review date, inputs received, and inputs missing or assumed.
Launch Issues Register: from templates/launch-issues-register.md — a table with columns — Issue Description | Practice Area | Severity (High / Medium / Low / Unknown) | Recommended Owner / Skill | Blocking? (Yes / No / TBD) | Status.
Routing Map: a brief list linking each High or blocking issue to the recommended next step (specialist attorney, sibling skill, or external counsel).
Go / Hold / Conditions Recommendation (draft for attorney sign-off): state the draft recommendation and the conditions or prerequisites it depends on.
Assumptions and Open Items: numbered list of every assumption and [CONFIRM: ...] item.
Attorney Verification Checklist: checkbox items (see below).
When the output will be used to brief a non-lawyer business stakeholder — a product owner, deal lead, people manager, founder, or executive — add a Business Stakeholder Summary as a clearly separated, plainly labeled section, following core/business-stakeholder-communication.md. Produce it only when the user requests it or when the audience is plainly a business decision-maker. It is an addition to the deliverable above — never a replacement for it, and never a substitute for attorney review. It contains:
ai-feature-review or by counsel with AI law expertise.[CONFIRM: ...] items have been resolved.Frequently asked questions
Use when conducting a pre-launch legal issue-spotting review for a new product or feature to produce a structured issues register and a draft go/hold/conditions recommendation for attorney sign-off.
The source record exposes this install command: npx skills add https://github.com/zgbrenner/agentcounsel --skill "skills/product-legal/launch-review". Inspect the command and pinned source before running it.
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