tao-analyze-detection-kpi agent skill by NVIDIA
Runs TAO Data Services KPI analysis for object detection, comparing inference annotations with ground truth to compute per-class TP/FP/FN/TN, precision, recall, accuracy, and AP.
At a glance
| Publisher | NVIDIA Official |
|---|---|
| Repository | NVIDIA/skills (396 listed skills) |
| Category | AI Agents and LLM Engineering |
| License | Apache-2.0 |
| Last commit | October 17, 2026 (repository) |
| SKILL.md | 193 lines, 1,390 words |
| Bundled files | 10 files, including references, scripts, assets or templates |
| Quality score | 90/100 · A Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 1 script file (1 Python). Your agent may run them, so read them first.
- Commands in SKILL.md: its code blocks run
docker run, which fetches or runs software from outside the skill folder. - Tool permissions requested:
Read Bash(theallowed-toolsfield of SKILL.md). - License: Apache-2.0, an open-source or open-content license.
Install tao-analyze-detection-kpi
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/NVIDIA/skills/tree/main/skills/tao-analyze-detection-kpitmp="$(mktemp -d)"
git clone --depth 1 https://github.com/NVIDIA/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/tao-analyze-detection-kpi .claude/skills/
rm -rf "$tmp"python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo NVIDIA/skills \
--path skills/tao-analyze-detection-kpiNVIDIA/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
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".
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Compatibility, from SKILL.md
| Compatibility | Requires docker, nvidia-container-toolkit, and the TAO data-services container pinned in versions.yaml. |
|---|
Sections in SKILL.md
- Inputs
- Quick Start
- Generate A Spec
- Preflight
- Outputs
- Pitfalls
- Troubleshooting
Files in the skill folder
BENCHMARK.mdSKILL.mdassets/default_kpi_analyze.yamlassets/example_mapping.yamlconfig/skillspector-baseline.yamlevals/evals.jsonreferences/skill_info.yamlscripts/verify_kpi_analyze_spec.pyskill-card.mdskill.oms.sig
Suede Skill Check: 90/100 · A
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: 4fc9cf6cec78. Report version e89b9df49fbd. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
tao-analyze-detection-kpi passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 5 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 3 of 3 |
| Instruction depth | 7 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 9 of 9 |
| Curated-list citations | 1 of 7 |
| Tool permissions declared | 2 of 2 |
| Compatibility declared | 2 of 2 |
Two badges for tao-analyze-detection-kpi
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede listing; either valid linked badge can qualify for the feature offer.
[](https://skills.suedeai.ai/directory/nvidia/skills/tao-analyze-detection-kpi/)
[](https://skills.suedeai.ai/directory/nvidia/skills/tao-analyze-detection-kpi/)<a href="https://skills.suedeai.ai/directory/nvidia/skills/tao-analyze-detection-kpi/"><img src="https://skills.suedeai.ai/directory/nvidia/skills/tao-analyze-detection-kpi/score.svg" alt="Suede Skill Check: 90/100" width="160" height="175"></a>
<a href="https://skills.suedeai.ai/directory/nvidia/skills/tao-analyze-detection-kpi/"><img src="https://skills.suedeai.ai/directory/nvidia/skills/tao-analyze-detection-kpi/badge.svg" alt="Suede Skill Check: Grade A" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: display either the numeric or letter badge in your repository or skill README (both also qualify), then request badge verification. Eligible skills scoring 80–99 can receive a featured placement after Suede verifies at least one valid badge linked to the skill’s listing. Suede has not announced an end date.
Where this skill is cited
NVIDIA/skills appears in 1 curated list: VoltAgent/awesome-agent-skills.