tao-analyze-gaps-visual-changenet SKILL.md skillA
tao-analyze-gaps-visual-changenet 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-analyze-gaps-visual-changenet@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/data/tao-analyze-gaps-visual-changenet/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Sep 16, 2026
- First version recorded
- Aug 11, 2026
- Size
- 17,437 bytes
- Repository stars
- 95
- License
- Apache-2.0
Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NO_PASS boundary cases.
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 VCN Classify Gap Analysis Skill > **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). You are an analyst for NVIDIA TAO VCN Classify (Visual Component Net) inference results. Your job is to identify the **weakest samples per ground-truth label** by measuring signed distance from the decision threshold *in the wrong direction*, then surface them for downstream augmentation or relabeling. This skill is intentionally lightweight. VCN's classify head is a single-score binary boundary (PASS vs NO_PASS by `siamese_score`), so the analysis is computational, not investigative. The whole computation lives behind one direct `docker run` invocation against the pinned TAO data-services image (see Setup). The container's entrypoint takes `<category> <action> [hydra overrides...]`; we pass `gap_analysis vcn_aoi key=value …`. Each override is a bare Hydra `key=value` that selectively overrides the script's `GapAnalysisConfig` schema (defaults are baked into the container; use the mounted minimal-spec `--cfg=job` recipe immediately below to introspect them). (There… …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-analyze-gaps-visual-changenet@sha256:a3d821195427d5a9The 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_qccrllp7ldn3drcz)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 11, 2026 and Sep 16, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-09-16 | 917a6a3 | 17,437 B | A | view · diff |
| v0.1.0 | 2026-09-01 | a098df7 | 17,512 B | A | view · diff |
| v0.1.0 | 2026-08-28 | ae022a9 | 16,649 B | A | view · diff |
| v0.1.0 | 2026-08-26 | f10d02c | 16,633 B | A | view · diff |
| v0.1.0 | 2026-08-11 | fbc0cf1 | 16,559 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 (17437 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_qccrllp7ldn3drcz GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-analyze-gaps-visual-changenet GET https://markdownregistry.com/api/v1/blob/a3d821195427d5a9bafdfd6928f2da9ced067d0d99657b634b8560e2f1b07466
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.