robbyczgw-cla
robbyczgw-cla publishes 4 tracked skills in DriftBot.
π Runtime quality summary
This is the quality surface for the publisher, not just a directory listing. It shows how much of the catalog has real receipts, how often those receipts are passing, whether richer fixture-backed proof exists, and whether the publisher currently carries regressions, reproduced failures, or stale runtime evidence.
Latest runtime touch: n/a. Publisher-level summaries do not replace skill-level review, but they do make reputation more earned: a publisher with broader coverage, stronger pass rates, and fixture-backed proof looks different from one living on thin smoke tests.
If you want the system-wide view, open the runtime dashboard. If you want the scoring logic, read the methodology.
No runtime receipts for this publisher yet.
Skills from this publisher
Label mix on this page
This distribution is a quick provenance cue, not a verdict. A publisher can have a mix of safer and riskier skills, so the useful move is to compare patterns here and then open the individual scorecards.
Publisher profiles are best for spotting catalog patterns: repeated shell access, common external services, whether manual review exists, and whether higher-risk labels are isolated or widespread.
On this page: 4 source-scanned, 0 catalog-only, and 0 manually reviewed entries in the current slice.
If you want the scoring logic, read the methodology. If you want the broader landscape, go back to the full index.
elevenlabs-voices
High-quality voice synthesis with 18 personas, 32 languages, sound effects, batch processing, and voice design using ElevenLabs API.
+ 1 more
agent-chronicle
AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, and Relationship Evolution. Generates personal, emotional entries from the agent's perspective. Works best with Claude models (Haiku, Sonnet, Opus).
+ 1 more
agora-council
Multi-agent debate council β spawns 3 specialized sub-agents in parallel (Scholar, Engineer, Muse) to tackle complex problems from different angles. Configurable models per role. Inspired by Grok 4.20's multi-agent architecture.
+ 1 more
roundtable
Multi-agent debate council β spawns 3 specialized sub-agents in parallel (Scholar, Engineer, Muse) for Round 1, then optional Round 2 cross-examination to challenge assumptions and strengthen the final synthesis. Configurable models and templates per role.
+ 1 more
Trust reading guide
Publisher-level summaries help with provenance context, but trust still lives at the skill level. Use this page to compare patterns across the publisherβs catalog, then inspect the raw findings on individual skill pages.