vss-evaluate-caption-accuracy SKILL.md skillA
vss-evaluate-caption-accuracy from nvidia-ai-blueprints/video-search-and-summarization is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-evaluate-caption-accuracy@v3.3.0-rc0Pins v3.3.0-rc0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-ai-blueprints/video-search-and-summarization
- Path
skills/benchmarking/vss-evaluate-caption-accuracy/SKILL.md- Versions recorded
- 4
- Latest version
- v3.3.0-rc0, committed Sep 29, 2026
- First version recorded
- Sep 14, 2026
- Size
- 8,445 bytes
- Repository stars
- 1,968
- License
- Apache-2.0
Measure whether an RT-VLM configuration change altered caption quality — capture paired baseline and candidate captions for a set of videos, score both against a ground truth with an LLM judge, and emit an accuracy and processing-time table. Use when changing frame selection, decode, or model settings and you need evidence there is no accuracy regression.
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
## Purpose Answer one question with evidence: **did this RT-VLM change make captions worse?** A configuration change that saves processing time is only useful if caption quality holds. This skill captures captions twice over the same videos — once with the change (HYP) and once without (REF) — scores both against a ground truth using an LLM judge, and reports accuracy delta alongside time saved. ## When to Use - Before/after changing RT-VLM frame selection, decode, or model settings, to prove there is no caption-quality regression - Quantifying accuracy delta and processing-time saved for a candidate config change - Verifying a change was behavior-neutral via frame-level provenance, not just matching totals Not for deploying RT-VLM, general LVS/RTVI benchmarking (see `vss-benchmark-video-summarization`), or one-off caption spot checks with no paired baseline. ## Prerequisites Everything except the judge runs **inside the RT-VLM container**. The container needs a GPU, the model on disk, and the `nvdsframeselector` DeepStream plugin (shipped with DeepStream in the RT-VLM image). | Requirement | Notes | |---|---| …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-evaluate-caption-accuracy@sha256:1b2ad070d613de29The line at the top of this page pins the label v3.3.0-rc0, 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_7ccejmigml55dbm6)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Sep 14, 2026 and Sep 29, 2026, about one every 5 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0-rc0 latest | 2026-09-29 | 7ccc5db | 8,445 B | A | view · diff |
| v3.2.0 | 2026-09-28 | 4e29ded | 8,441 B | A | view · diff |
| v3.2.0 | 2026-09-23 | 71f6e8b | 7,965 B | A | view · diff |
| v3.2.0 | 2026-09-14 | 4cd3377 | 7,114 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 (8445 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-ai-blueprints/video-search-and-summarization · 1,968 stars · license Apache-2.0 · pushed 2026-11-07 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_7ccejmigml55dbm6 GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-evaluate-caption-accuracy GET https://markdownregistry.com/api/v1/blob/1b2ad070d613de29e8d42a0befe459957508fe7c74a9bfec763ca2bd7dd9cbbd
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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