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fix(plugins): sync all 171 plugin SKILL.md files with fixed skills/ versions

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Propagates Anti-Patterns sections, description rewrites, Required Inputs
additions, and Quality Checks format fixes from skills/ to matching plugin
SKILL.md copies.

https://claude.ai/code/session_01MuGKn3a3Gbqoe8uM5Lmuqt
This commit is contained in:
Mohit
2026-06-08 13:06:21 +00:00
parent fb85a1cb55
commit affae033fe
171 changed files with 1428 additions and 56 deletions
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plugins/pm-advanced/skills/ai-ethics-review/SKILL.md
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@@ -1,6 +1,6 @@
---
name: ai-ethics-review
description: "Conduct an ethical review of an AI or ML feature, model, or product. Use when asked to run an AI ethics review, assess AI risks, audit a model for bias, or produce an AI impact assessment. Produces a structured ethics review covering fairness, transparency, privacy, safety, accountability, and societal impact with prioritised mitigations."
description: "Conduct a structured ethical review of an AI or ML feature, model, or product. Use when preparing to deploy an AI system, assessing algorithmic risk, auditing a model for bias, or producing a responsible AI impact assessment. Produces a structured ethics review covering fairness, transparency, privacy, safety, accountability, and societal impact with a risk tier score, pre-deployment checklist, and prioritised mitigations."
---
# AI Ethics Review Skill
@@ -198,6 +198,14 @@ Ask the user for these if not provided:
- [ ] Accountability section names real people, not teams or roles
- [ ] Mitigations are specific and time-bound — not "monitor and review"
## Anti-Patterns
- [ ] Do not limit the affected-population analysis to users of the product — AI that makes decisions about people (hiring, credit, content moderation) affects non-users who have no opt-out
- [ ] Do not accept "we will monitor" as a mitigation without specifying what is monitored, at what threshold, and who acts
- [ ] Do not assign fairness analysis to the model team alone — protected characteristic analysis requires input from legal, HR, or a subject-matter expert
- [ ] Do not defer the DPIA to post-launch — for high-risk tier systems, a DPIA is a pre-requisite for lawful deployment under GDPR
- [ ] Do not conflate statistical accuracy with fairness — a model can be 95% accurate overall while performing significantly worse for a protected group
## Example Trigger Phrases
- "Run an AI ethics review for [feature]"