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wip-limit-configuration-coach

Choose real starting numbers for active-stage and queue-stage WIP limits in a human-agent workflow, rather than a universal formula or people-divided-by-two. Interviews you on workflow, human-agent topology, agent autonomy, shared constraints and replenishment evidence; computes candidate limits and cross-checks them with Little's Law; returns one starting configuration translated into board and agent pull policies. Use when agents write much of the code and existing WIP limits no longer describe the system. For the prior question of whether flow metrics would help you at all, use flow-metrics-self-assessment. If the question is broad — AI pilots with no clear return, or "where do we start" — run ai-activity-to-impact first; it finds the constraint and routes here.

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security
Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The skill instructs the agent to browse and fetch an external blog post (Yuval Yeret) if the user asks why a rule exists, placing it in the low risk category of actively fetching arbitrary web content.

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Repository

yyeret/ai-impact

Path

skills/wip-limit-configuration-coach/SKILL.md

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Snyk

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.