Individual skill
tao-artifacts
The contract home for TAO's SDK-free execution pipeline — authoritative JSON Schemas for the four typed artifacts (spec-bundle, job-record, results_dir layout, best_rec) plus the fixed job-status vocabulary and the nested-not-dotted spec rule. Use when authoring or validating a spec-bundle before submit, writing or reading a .tao/jobs job-record, resolving where results land, or consuming AutoML's best_rec.json. Trigger phrases include "validate the spec bundle", "job record schema", "status vocabulary", "results_dir layout", "best_rec schema".
skills/tao-artifacts/SKILL.md
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- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
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BENCHMARK.mddoc · 7,073 bytesSKILL.mdcore · 5,429 bytesSKILL.mdcore · 5,429 bytesconfig/skillspector-baseline.yamlasset · 834 bytesevals/evals.jsonasset · 903 bytesreferences/best_rec.schema.jsonasset · 2,404 bytesreferences/job_record.schema.jsonasset · 3,950 bytesreferences/results_dir.contract.mddoc · 1,633 bytesreferences/spec_bundle.schema.jsonasset · 8,154 bytesreferences/tests/test_artifact_schemas.pyruns · 13,191 bytesskill-card.mddoc · 4,446 bytesskill.oms.sigasset · 6,085 bytes
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# tao-artifacts
Four typed artifacts flow through every TAO job. Their schemas live **here and
nowhere else** — producers (model/data skills) and consumers (platform skills)
both validate against this skill's `references/`.
| Artifact | Schema | Produced by → consumed by |
|---|---|---|
| **spec-bundle** | `references/spec_bundle.schema.json` | model/data skill → platform skill (at the submit seam) |
| **job-record** | `references/job_record.schema.json` | `scripts/tao_job_record.py` (the ONLY writer) → any re-attaching agent/poller |
| **results_dir layout** | `references/results_dir.contract.md` | platform skill at submit → whoever collects outputs |
| **best_rec** | `references/best_rec.schema.json` | tao-run-automl adapter → DEFT warm-start |
## Quick Start — validate an artifact