2 Commits

  • fix(skills): move top-level origin frontmatter key under metadata
    The official Agent Skills spec (agentskills.io/specification) whitelists exactly
    6 top-level frontmatter keys (name/description/license/compatibility/metadata/
    allowed-tools). A top-level `origin` key fails the official validator
    (anthropics/skills quick_validate.py ALLOWED_PROPERTIES; skills-ref validate).
    
    This moves `origin: X` -> `metadata.origin: X` across the canonical skills/
    tree, preserving each value verbatim. Frontmatter-only, minimal diff.
    
    - 251 SKILL.md updated (242 new metadata block, 9 appended to existing metadata)
    - origin values preserved verbatim (verified 251/251)
    - YAML validated on all changed files
    - scoped to canonical skills/ only (docs/<lang> translations + tool mirrors
      .cursor/.kiro/.agents left untouched; presumably regenerated from canonical)
    
    Addresses #2233
  • feat(skills): add santa-method - multi-agent adversarial verification (#760)
    * feat(skills): add santa-method
    
    Multi-agent adversarial verification with convergence loop. Two independent review agents evaluate output against a shared rubric. Both must pass before shipping. Includes architecture diagram, implementation patterns (subagent, inline, batch sampling), domain-specific rubric extensions, failure mode mitigations, and integration guidance with existing ECC skills.
    
    * Enhance SKILL.md with detailed Santa Method documentation
    
    Expanded the SKILL.md documentation for the Santa Method, detailing architecture, phases, implementation patterns, failure modes, integration with other skills, metrics, and cost analysis.