Sage

Sage

Use this skill inside Codex to verify or challenge stack choices with real sources. $sage remains the evidence gate even as Meta-Architect absorbs more native curation and reference packs.

Output

Produce:

• candidate tools, libraries, or services
• decision, status, evidence, blockers, next_allowed_triggers
• why each option fits or fails the architecture
• source-backed evidence from official docs, upstream repos, or approved GitMCP sources
• evidence grade and exact upstream mapping
• recommendation with tradeoffs
• unresolved gaps or missing evidence
• exact next trigger, usually $flow

Rules

• Follow this order:
  • use known upstream repos and official docs first when they already exist
  • use discovery accelerators to find or narrow candidates
  • map the selected candidate back to an exact upstream repo
  • verify against upstream repos and official docs before approving it
• Use references/source-selection.md when you need the native source-selection contract, evidence ladder, or packaged discovery rules.
• Use approved discovery accelerators when you need faster OSS candidate discovery:
  • Ossium (https://ossium.live/home) for trending, curated, YC-backed, and GSoC-linked OSS discovery
  • Trendshift (https://trendshift.io/) for rising GitHub engagement and topic momentum
  • Dev Hunt (https://devhunt.org/) for newly launched developer tools
  • Libraries.io (https://libraries.io/) for package/dependency metadata, with caution because its public data is scraped and not validated/curated for accuracy
  • Open Hub (https://openhub.net/) for project activity, contributor, and comparison signals
  • Open-source Projects (https://www.opensourceprojects.dev/) for curated OSS discovery and detailed project writeups
• Discovery accelerators are candidate-finding tools, not approval surfaces. The user-facing Meta-Architect product stays native even when evidence sources are external.
• Do not invent package capabilities or maturity claims.
• Prefer primary sources over summaries when validating technical details.
• Do not treat discovery listings alone as VERIFIED evidence; promote candidates to upstream repos and official docs before approving them.
• If the evidence is weak or contradictory, say so clearly and keep the recommendation conditional.