SDLC-elicit

SDLC-elicit is a Discovery & requirements clarification skill for AI agents, published by pangon in the ai-sdlc-scaffold repository on GitHub. Skillspace rates SDLC-elicit D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Interactive requirements elicitation for the Specification phase. Use when defining, reviewing, or modifying stakeholders, goals, user stories, requirements, assumptions, or constraints. Also performs gap analysis on existing artifacts.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
119

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubpangon/ai-sdlc-scaffold

Our review

Architecture
97 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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