tao-analyze-detection-kpi SKILL.md skillA

tao-analyze-detection-kpi 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-analyze-detection-kpi@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/data/tao-analyze-detection-kpi/SKILL.md
Versions recorded
5
Latest version
v0.1.0, committed Sep 24, 2026
First version recorded
Aug 26, 2026
Size
10,574 bytes
Repository stars
95
License
Apache-2.0

Run TAO Data Services KPI analysis for object detection, comparing inference annotations against ground truth to compute per-class TP/FP/FN/TN, precision, recall, accuracy, and AP at a fixed IoU. Use when an object detection workflow needs per-class mAP reported after inference, or when the user asks to "run KPI analyze", "compute detection mAP", or "score my OD predictions against ground truth".

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 Detection KPI

Use this skill to run TAO Data Services KPI analysis for object detection. The skill compares inference annotations against ground truth over one or more KPI sources and writes a per-class metrics CSV. It does not run inference; an upstream step must produce the inference annotations first.

The container entrypoint is:

```bash
analytics kpi_analyze -e /absolute/path/to/kpi_analyze.yaml
```

## Inputs

The user provides either a finished spec or the paths to fill into the template.

Required spec fields:

| Field | Meaning |
|---|---|
| `data.input_format` | `KITTI` or `COCO`. **Uppercase** — see Pitfalls. |
| `data.kpi_sources` | List of sources. Each entry requires `image_dir`, `ground_truth_ann_path`, and `inference_ann_path`; all three are asserted at startup. |
| `data.mapping` | Path to a class-mapping YAML: a list of single-key dicts whose value is a **LIST** of aliases. See `assets/example_mapping.yaml` — a bare string here silently zeroes every metric. |
| `results_dir` | Output directory for `kpi_calc.csv`. |

Common optional fields. The `Default` column is what TAO DS uses when the field is
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-analyze-detection-kpi@sha256:45996e55627434d2

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_k53ek4r4pn34wzhf.svg)](https://markdownregistry.com/a/art_k53ek4r4pn34wzhf)

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

Versions

The registry has recorded 5 versions of this file, between Aug 26, 2026 and Sep 24, 2026, about one every 7 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-09-24 ea5e59c 10,574 BA view · diff
v0.1.02026-09-16 917a6a3 10,580 BA view · diff
v0.1.02026-08-28 614fe51 10,658 BA view · diff
v0.1.02026-08-28 ae022a9 10,663 BA view · diff
v0.1.02026-08-26 e91a65c 10,647 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 (10574 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_k53ek4r4pn34wzhf
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-analyze-detection-kpi
GET https://markdownregistry.com/api/v1/blob/45996e55627434d2f7ecc233481790fd3a371f13ad8ab4c537a89ca0f2f45447

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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