agent-loop-ext
Crash-resilient external agent loop with state persistence and CI/CD integration
Verify a dataset plan or run receipt, checkpoint continuity, provenance completeness, and derived-artifact freshness.
$ npx -y skills add jmagly/aiwg --skill dataset-verify --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/dataset-verifyContext preview
The summary Claude sees to decide when to auto-load this skill.
Verify a dataset plan or run receipt, checkpoint continuity, provenance completeness, and derived-artifact freshness.
namespace: aiwg name: dataset-verify description: Verify a dataset plan or run receipt, checkpoint continuity, provenance completeness, and derived-artifact freshness. version: 1.0.0 platforms: [all] aliases: [dataset health, verify ingest, check dataset freshness] triggers: [verify this dataset, did ingestion succeed, is this index fresh, validate the run receipt, check checkpoint continuity]
Delegate to `aiwg dataset verify <dataset-or-run-ref> --json`. Verify plan and receipt digests, committed outcome, checkpoint continuity, counts/rejections, schema bindings, evidence completeness, derived-artifact freshness, and stated degradation. Searchability alone is not proof of success or canonical-source availability.
Return a verification reference with explicit `verified`, `degraded`, `unverifiable`, or `failed` state. Preserve diagnostics and route evidence questions to Dataset Provenance Reviewer.
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
Repo: jmagly/aiwg
Crash-resilient external agent loop with state persistence and CI/CD integration
Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern
Enable agent loops to learn from similar past tasks and share patterns across loops
Query and manage the executable feedback debug memory
Execute tests on generated code and iterate until passing