tao-analyze-gaps-vlm-bcq SKILL.md skillA
tao-analyze-gaps-vlm-bcq 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-vlm-bcq@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-vlm-bcq/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Aug 26, 2026
- First version recorded
- Jun 8, 2026
- Size
- 5,261 bytes
- Repository stars
- 95
- License
- Apache-2.0
Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions.
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
# VLM Binary Classification Gap Analysis > **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). Reads a VLM predictions JSON, compares each model response against ground truth, and writes FP/FN failure cases to a JSONL file with a summary report. Run it with a TAO Data Services spec file; the data-services entrypoint requires `-e <spec>`. ## Purpose After running a VLM on a binary yes/no evaluation task, the predictions need to be compared against ground truth to identify failure cases. This skill produces a structured list of FP (false positive) and FN (false negative) samples that downstream RCCA stages (e.g., cosmos generation, root cause analysis) consume to drive a DEFT iteration. ## Usage Generate a `vlm_bcq_spec.yaml` with the bundled helper: ```bash python3 skills/data/tao-analyze-gaps-vlm-bcq/scripts/prepare_vlm_bcq_spec.py \ --predictions-json /path/to/results.json \ --videos-dir /path/to/videos/root \ --results-dir /path/to/output/gaps \ --output-spec /path/to/output/gaps/vlm_bcq_spec.yaml ``` …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-analyze-gaps-vlm-bcq@sha256:b41e8130cadfa04fThe 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_is4w2dkoclje7dya)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 8, 2026 and Aug 26, 2026, about one every 20 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-08-26 | e91a65c | 5,261 B | A | view · diff |
| v0.1.0 | 2026-08-11 | 85ff6b9 | 4,927 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 3,785 B | A | view · diff |
| v0.1.0 | 2026-06-22 | b3f556f | 3,606 B | A | view · diff |
| v0.1.0 | 2026-06-08 | 2158b64 | 3,556 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 (5261 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_is4w2dkoclje7dya GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-analyze-gaps-vlm-bcq GET https://markdownregistry.com/api/v1/blob/b41e8130cadfa04fd9934b10c875c4cf62f2d8b65e93f06fbafe4ea46e9ebeee
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.