tao-artifacts SKILL.md skillA

tao-artifacts from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia-tao/tao-skill-bank/tao-artifacts@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia-tao/tao-skill-bank
Path
skills/core/tao-artifacts/SKILL.md
Versions recorded
2
Latest version
v0.1.0, committed Aug 21, 2026
First version recorded
Aug 5, 2026
Size
5,429 bytes
Repository stars
95
License
Apache-2.0

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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

```bash
python - <<'PY'
import json, yaml, jsonschema, pathlib
ref = pathlib.Path("${TAO_SKILL_BANK_PATH:?}/skills/core/tao-artifacts/references")
schema = json.loads((ref / "spec_bundle.schema.json").read_text())
bundle = yaml.safe_load(open("/path/to/bundle.yaml"))   # or a dict built in-context
jsonschema.validate(bundle, schema)                      # raises on violation
print("bundle OK")
PY
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-artifacts@sha256:188bed2dc479775f

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rdpwacb65mutt6ft.svg)](https://markdownregistry.com/a/art_rdpwacb65mutt6ft)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Aug 5, 2026 and Aug 21, 2026, about one every 16 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-21 49672c2 5,429 BA view · diff
v0.1.02026-08-05 ae5e99c 3,822 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5429 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rdpwacb65mutt6ft
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-artifacts
GET https://markdownregistry.com/api/v1/blob/188bed2dc479775f260a87c330d96807448a0c25dbbca00283d1bfc1ee80a4a4

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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