bdd-container-update SKILL.md skillA

bdd-container-update 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.

Install it, pinned
mdr add nvidia-ai-blueprints/video-search-and-summarization/bdd-container-update@git:20260716.6c71a35

Pins git:20260716.6c71a35 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
services/vios/.cursor/skills/bdd-container-update/SKILL.md
Versions recorded
3
Latest version
git:20260716.6c71a35, committed Jul 16, 2026
First version recorded
Jun 3, 2026
Size
4,742 bytes
Repository stars
1,968
License
Apache-2.0

Update the BDD test container image when its dependencies or runtime change. Determines version bump (major vs minor vs patch), rebuilds the Docker image, pushes to GitLab registry, and updates the image tag in start_test.sh. Test source (tests/, features/, scripts/, data/, conftest.py) is bind-mounted from the host repo at runtime, so pure test code changes do NOT require a container rebuild. Use only when files that the container bakes in are modified: Dockerfile, docker-entrypoint.sh…

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

# BDD Test Container Update

The BDD test container runs `bdd_test` from
`<INTERNAL_REGISTRY>/bdd_tests:<TAG>`. Since the CI
runner bind-mounts the host repo's test source into `/app/`, the image only
needs to be rebuilt when the things it bakes in change.

## When to rebuild

**Rebuild required** -- files baked into the image:

- `test/bdd_tests/Dockerfile`
- `test/bdd_tests/docker-entrypoint.sh`
- `test/bdd_tests/pyproject.toml` (any change -- deps or pytest config)
- `test/bdd_tests/poetry.lock`
- `test/bdd_tests/test_videos/*` (sample clips baked to `/app/test_videos`)

> **Note on `test_videos/`:** the clip binaries are **gitignored** -- they are
> NOT in the repo, only baked into the published image. The pushed image is the
> source of truth. Before rebuilding you must repopulate
> `test/bdd_tests/test_videos/` from the current published image (or a backup);
> see `test/bdd_tests/test_videos/README.md`. A rebuild from a clean checkout
> without these files would bake an empty `/app/test_videos`.

**Rebuild NOT required** -- bind-mounted at runtime by
`cicd_files/docker-compose-test/start_test.sh`:

- `test/bdd_tests/tests/**`
- `test/bdd_tests/features/**`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-ai-blueprints/video-search-and-summarization/bdd-container-update@sha256:2ca3897f0efe62b3

The line at the top of this page pins the label git:20260716.6c71a35, 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_hcnsk7lr5bg7b4po.svg)](https://markdownregistry.com/a/art_hcnsk7lr5bg7b4po)

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

Versions

The registry has recorded 3 versions of this file, between Jun 3, 2026 and Jul 16, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
git:20260716.6c71a35 latest2026-07-16 6c71a35 4,742 BA view · diff
git:20260610.c2a277e2026-06-10 c2a277e 4,229 BA view · diff
git:20260603.14e198c2026-06-03 14e198c 4,389 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 (4742 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-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_hcnsk7lr5bg7b4po
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/bdd-container-update
GET https://markdownregistry.com/api/v1/blob/2ca3897f0efe62b3afe42d2eaee49012aafab97a96a303d24bcbe7458504e951

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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