tao-analyze-gaps-od-map SKILL.md skillA
tao-analyze-gaps-od-map 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-od-map@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-od-map/SKILL.md- Versions recorded
- 6
- Latest version
- v0.1.0, committed Oct 14, 2026
- First version recorded
- Aug 19, 2026
- Size
- 7,409 bytes
- Repository stars
- 95
- License
- Apache-2.0
Run TAO Data Services object-detection gap analysis from ground-truth and inference annotations. Use when an object detection workflow needs to identify weak images by comparing model predictions against ground truth using per-class recall, precision, and AP50 thresholds. Use when the user asks to "analyze OD gaps", "find weak OD images", or "run mAP gap analysis".
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 Analyze Gaps OD mAP Use this skill to run TAO Data Services object-detection gap analysis. The skill compares ground-truth and inference annotations, computes per-image per-class TP/FP/FN/AP50 metrics, and identifies weak images where any class metric falls below its threshold. It does not run inference; upstream steps must produce the inference annotations first. The container entrypoint is: ```bash gap_analysis object_detection -e /absolute/path/to/object_detection.yaml ``` ## Inputs Required spec fields: | Field | Meaning | |---|---| | `ground_truth_ann_path` | KITTI label directory or COCO `.json` with ground-truth boxes. | | `inference_ann_path` | KITTI label directory or COCO `.json` with model predictions. | | `images_dir` | Root image directory. Establishes the full image universe including unannotated images. | | `results_dir` | Output directory for all artifacts. | | `kpi` | Identifier tag written to every output row. | | `input_format` | `kitti` or `coco`. Must be declared explicitly; never inferred from the path. | Common optional fields: | Field | Default | Meaning | |---|---:|---| …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-analyze-gaps-od-map@sha256:4d82084c7f58de57The 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_7hrq3pqbul7alpgq)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Aug 19, 2026 and Oct 14, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-14 | bf58d9d | 7,409 B | A | view · diff |
| v0.1.0 | 2026-09-16 | 917a6a3 | 6,974 B | A | view · diff |
| v0.1.0 | 2026-08-28 | 614fe51 | 7,052 B | A | view · diff |
| v0.1.0 | 2026-08-28 | ae022a9 | 7,057 B | A | view · diff |
| v0.1.0 | 2026-08-26 | e91a65c | 7,041 B | A | view · diff |
| v0.1.0 | 2026-08-19 | 00f1bb4 | 7,081 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 (7409 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_7hrq3pqbul7alpgq GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-analyze-gaps-od-map GET https://markdownregistry.com/api/v1/blob/4d82084c7f58de57bb4fe964d14b4b17afffa22f8abca127ee850834fde16c86
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.