القائمة
Mine latest-generation skill_invocation evidence into verifier candidate rows (one row per skill x archetype) for the Skill Verifier Factory.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Share agent traces to open datasets on HuggingFace Hub. Use this skill when the user mentions OpenTraces, trace capture, Trace Trails, workflow-built datasets, dataset review, or publishing reviewed dataset rows.
Share agent traces to open datasets on HuggingFace Hub. Use this skill when the user mentions OpenTraces, trace capture, Trace Trails, workflow-built datasets, dataset review, or publishing reviewed dataset rows.
Project already-captured traces into scored-rollout rows for the SkillOpt optimizer.
Per-commit trace lineage rows for a branch context, deterministic.
Derive compact eval rows from command-attributed trace trajectories.
Land every site-related fix on main, deploy opentraces.ai to Vercel production, and verify it works across all pages (desktop + mobile) and the email-capture flow, fixing and re-deploying until green. Runs as a goal: land -> deploy -> verify -> triage -> repeat until safe. Use when the user says "deploy site", "deploy to vercel", "push site", "ship the site", "deploy-site", or "land and verify the site". For a full coordinated release that also bumps the version and publishes the Python packages, use /release-pack instead.
| name | skill-verifier-candidates-v1 |
| description | Mine latest-generation skill_invocation evidence into verifier candidate rows (one row per skill x archetype) for the Skill Verifier Factory. |
| mode | agent-skill |
Project the Trace Index skill_invocation read side into verifier candidate
rows: one row per (skill, archetype) describing how strong the trace-grounded
evidence is for building a verifier of that archetype, which contract markers are
most deficient, whether a leakage-safe Dtrain/Dsel/Dtest split is feasible, and the
verifier-creator interview (with evidence-inferred defaults).
This is the canonical workflow surface over
opentraces.consumers.verifier_factory.mine_verifier_candidates; the
opentraces workflow verifier-factory consumer reads these rows (and emits the
packages). Recommendations are advisory: no verifier is generated or promoted
without explicit human approval.
project (optional): restrict mining to one project slug.skills (optional list): restrict to specific skills (default: every skill that
has a registered archetype).min_usable_episodes (optional int, default 30): data-gap threshold.Newline-delimited JSON rows validated against schemas/row.schema.json
(schema_version: opentraces.skill_verifier_candidates_row.v1).