feature-risk-assessment

feature-risk-assessment is a skill for Claude Code from uk-agents/uk-legal-plugins. It costs 101 tokens per session (2,982 once invoked), scanned A, original, Apache-2.0.

A structured assessment of what could go wrong with a product feature or product area, including likelihood, impact, and possible safeguards.

In plain words
What is it for?
Use it for novel AI features, children's products, financial promotions, or issues involving active UK regulatory scrutiny.
Why use it?
It gives deeper analysis when a quick launch check finds a significant, unusual, or highly regulated risk.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; mentions CLAUDE.md.

Part of the product-legal-uk plugin — 4 skills, 1 agent shipped together

Good fit Use it for novel AI features, children's products, financial promotions, or issues involving active UK regulatory scrutiny.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uk-agents/uk-legal-plugins/feature-risk-assessment
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add uk-agents/uk-legal-plugins --skill feature-risk-assessment
Clone the repo
git clone --depth 1 https://github.com/uk-agents/uk-legal-plugins

Made for: Claude Code.

Or install product-legal-uk, the plugin that ships this one along with the rest of its 4 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for feature-risk-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/uk-agents/uk-legal-plugins/feature-risk-assessment/github.svg)](https://agentmods.dev/skills/uk-agents/uk-legal-plugins/feature-risk-assessment)
Your own site
<a href="https://agentmods.dev/skills/uk-agents/uk-legal-plugins/feature-risk-assessment"><img src="https://agentmods.dev/badge/skills/uk-agents/uk-legal-plugins/feature-risk-assessment/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for feature-risk-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/uk-agents/uk-legal-plugins/feature-risk-assessment"><img src="https://agentmods.dev/badge/skills/uk-agents/uk-legal-plugins/feature-risk-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,982 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.02982
Opus 5 $0.00051 $0.01491
Sonnet 5 $0.00020 $0.00596
Haiku 4.5 $0.00010 $0.00298

Measured 9d ago against content hash da74d141ca94, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

feature-risk-assessment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

product-legal-uk/skills/feature-risk-assessment/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Risk Assessment (UK)

Matter context

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-uk: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/uk-legal-plugins/product-legal-uk/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.


Purpose

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, a financial promotion, something under active CMA or ICO scrutiny — this skill produces a standalone assessment.

Not every launch needs one. Most don't. This is for the 10% where "DPIA triage done, shipped" isn't the right level of scrutiny.

When to run this

  • Launch review found a pattern that's not in the calibration table (novel)
  • Launch review found something in the "usually blocks" category
  • GC or leadership asked "what's the risk here" and wants more than a one-liner
  • The feature is in an area with active regulatory attention (AI, children, financial products, online platforms, medical devices, biometric data)
  • CMA, ICO, FCA, MHRA, or Ofcom are actively looking at this space
  • Someone outside legal is worried and a structured answer would help

If none of the above, the launch review is enough. Don't generate paperwork for its own sake.

Structure

1. What we're assessing

One paragraph. What the feature does, what's new about it, why it got escalated to a full assessment.

2. The risks

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 "CMA investigation" but "the subscription default-on enrolment triggers
CMA scrutiny under DMCC Act 2024 s 224-227 because users are enrolled without
a single click opt-in at point of first payment."]

**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 —
CMA enforcement notice + potential civil/criminal penalty under DMCC Act 2024"
vs. "Low — ASA challenge requiring copy change, no financial penalty."]

**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?]

Read the full file on GitHub · 190 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 190 lines · 101 tokens per session scan A da74d141ca94

Subscribe to this mod's changes

feature-risk-assessment is a skill published in the GitHub repository uk-agents/uk-legal-plugins (9 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 101 tokens to every session and 2,982 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

brand-safety-compliance

Scans outbound copy or creator-submitted content for 6 compliance red lines — medical/efficacy, exaggeration/absolute, beauty-permanence, financial/income, fake-scarcity, fake-rapport — and returns a block/warn verdict with fix suggestions. Use when the user asks to check, scan, review, or vet copy before sending, or…

crevideo/crevideo-reach · 139 tokens

postgres

Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. Trigger when user asks to: Design or modify PostgreSQL tables, schemas, or data models Choose data types, constraints, indexes, or partitioning…

timescale/pg-aiguide · 197 tokens

employment-compliance

Covers the employment rules that carry real penalties — exempt and non-exempt classification, overtime and hours, employee versus contractor status, work authorization and recordkeeping, accommodation requests, and the notices and retention obligations that go with them. Use this to classify a role, review a…

cbrock84/headcount · 87 tokens

revenue-recognition

Determines when and how revenue is recognized — performance obligations, contract terms that change the answer, and the deal structures that create accounting problems. Use this to work out how a contract should be recognized, review a non-standard deal before it is signed, understand deferred revenue, or spot terms…

cbrock84/headcount · 69 tokens

privacy-and-data-protection

Assesses and improves how personal data is collected, used, shared, and retained — data mapping, lawful basis, consent, processor agreements, subject rights, and breach obligations. Use this before launching anything that handles personal data, when adding a vendor that will process it, when a data subject request…

cbrock84/headcount · 86 tokens

benefits-and-leave

Designs and runs employee benefits and leave — health and retirement plans, leave policy, cost and renewal, and the administration that keeps them compliant. Use this to design or review a benefits package, prepare for a renewal, write leave policy, handle a leave request, or decide what benefits are worth their cost.

cbrock84/headcount · 68 tokens