tao-run-inference-service SKILL.md skillA
tao-run-inference-service from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-run-inference-service@v0.1.0Pins 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/applications/tao-run-inference-service/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Aug 20, 2026
- First version recorded
- Jun 22, 2026
- Size
- 18,672 bytes
- Repository stars
- 95
- License
- Apache-2.0
Start, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.
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 Inference Microservice > **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery). ## Instructions **To start an inference service:** 1. Collect required inputs (Section 1) and resolve the container image (Section 2). 2. Build the job payload and inner command (Sections 3–4.1); use `references/code-templates.yaml` → `job_payload_builder`. 3. Read `skills/platform/<platform>/SKILL.md` and start the container (Section 4.2). 4. Write the service registry and poll readiness (Section 4.3); use `references/code-templates.yaml` → `registry_write.<platform>` and `readiness_check`. **To send an inference request:** 1. Resolve which service receives the request per Section 6.0 (by `job_id`, by `network_arch`, or by explicit user choice when multiple services run — **never silently default to `"latest"` when more than one service exists**), then read the endpoint from `references/code-templates.yaml` → `request.registry_read` with the resolved `job_id`. …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-run-inference-service@sha256:748e4d986d75c0eeThe 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.
[](https://markdownregistry.com/a/art_gb7ecoopnnhw5g62)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 22, 2026 and Aug 20, 2026, about one every 15 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-08-20 | b9578f8 | 18,672 B | A | view · diff |
| v0.1.0 | 2026-08-11 | 115ac6d | 18,657 B | A | view · diff |
| v0.1.0 | 2026-08-05 | ae5e99c | 18,424 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 18,440 B | A | view · diff |
| v0.1.0 | 2026-06-22 | fea2ebf | 18,261 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18672 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
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_gb7ecoopnnhw5g62 GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-run-inference-service GET https://markdownregistry.com/api/v1/blob/748e4d986d75c0ee14c6dc9e6a6997749e5d20209263c049ce118751755e69b9
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.