sdd-build

sdd-build is an Execution & autonomous loops skill for AI agents, published by luanmorenommaciel in the agentspec repository on GitHub. Skillspace rates sdd-build F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Execution methodology for SDD Phase 3 (Build): turn a completed DESIGN into working, verified code. Covers KB-first knowledge resolution, task extraction from the file manifest, dependency ordering, specialist agent delegation (including the data engineering delegation map), per-file and full-run verification, recording autonomous decisions in the BUILD_REPORT, upstream status transitions, and the handoff to Phase 4. Use when asked to "execute the build", "implement from the design", or run "Phase 3" on a DESIGN_{FEATURE}.md. Not for creating the architecture itself — that is sdd-design — and not for archiving a finished feature — that is sdd-ship.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
224

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
73 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • dynamic code execution (eval/exec)

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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