Setup Osworld
xlang-ai/OSWorld-V2
Provision and verify an OSWorld-V2 checkout after clone. An agent skill from xlang-ai/OSWorld-V2.
Agent skill
Bdd Container Update
by NVIDIA-AI-Blueprints in NVIDIA-AI-Blueprints/video-search-and-summarization
Update the BDD test container image when its dependencies or runtime change.
Install Bdd Container Update
$ npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-AI-Blueprints/video-search-and-summarization bdd-container-update --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git skills-src && mkdir -p .claude/skills && cp -r skills-src/services/vios/.cursor/skills/bdd-container-update .claude/skills/bdd-container-update && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "bdd-container-update" agent skill from https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/services/vios/.cursor/skills/bdd-container-update into .claude/skills/bdd-container-update/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bdd-container-update", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/services/vios/.cursor/skills/bdd-container-updateType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-AI-Blueprints/video-search-and-summarization bdd-container-update --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git skills-src && mkdir -p .agents/skills && cp -r skills-src/services/vios/.cursor/skills/bdd-container-update .agents/skills/bdd-container-update && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bdd-container-update" agent skill from https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/services/vios/.cursor/skills/bdd-container-update into .agents/skills/bdd-container-update/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bdd-container-update", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-AI-Blueprints/video-search-and-summarization bdd-container-update --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/services/vios/.cursor/skills/bdd-container-update .cursor/skills/bdd-container-update && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bdd-container-update" agent skill from https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/services/vios/.cursor/skills/bdd-container-update into .cursor/skills/bdd-container-update/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bdd-container-update", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git --path services/vios/.cursor/skills/bdd-container-update--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-AI-Blueprints/video-search-and-summarization bdd-container-update --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/services/vios/.cursor/skills/bdd-container-update .gemini/skills/bdd-container-update && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bdd-container-update" agent skill from https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/services/vios/.cursor/skills/bdd-container-update into .gemini/skills/bdd-container-update/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bdd-container-update", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA-AI-Blueprints/video-search-and-summarization bdd-container-updateInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git skills-src && mkdir -p .github/skills && cp -r skills-src/services/vios/.cursor/skills/bdd-container-update .github/skills/bdd-container-update && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bdd-container-update" agent skill from https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/services/vios/.cursor/skills/bdd-container-update into .github/skills/bdd-container-update/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bdd-container-update", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA-AI-Blueprints/video-search-and-summarization bdd-container-update --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/services/vios/.cursor/skills/bdd-container-update .opencode/skills/bdd-container-update && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bdd-container-update" agent skill from https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/services/vios/.cursor/skills/bdd-container-update into .opencode/skills/bdd-container-update/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bdd-container-update", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
bdd-container-update- GitHub stars
- 1.9k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 432 words
- Files
- 1
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Update the BDD test container image when its dependencies or runtime change.
- Works in 6 steps: Identify the current image tag → Determine version bump → Build the new container image → …
- Tasks that involve Containers
- SKILL.md covers When to rebuild, 1. Identify the current image…, 2. Determine version bump and 3. Build the new container image, plus 4 more sections
- Calls docker
What it does
Bdd Container Update is an agent skill from NVIDIA-AI-Blueprints/video-search-and-summarization. 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 starttest.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, pyproject.toml, poetry.lock.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Containers and Creative writing and fiction. It works with Docker and GitLab. The repository describes itself as: NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts…
When your agent uses it
- Tasks that involve Containers
- Tasks that involve Creative writing and fiction
Example prompts
- “/bdd-container-update”
Requirements
- Python 3
- Docker
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Identify the current image tag
- Determine version bump
- Build the new container image
- Push to GitLab registry
- Update the image tag in start_test.sh
- Summary
What it can do on your machine
Read from SKILL.md and the folder at commit fdb6a7a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
docker
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Bdd Container Update loads about 1.2k tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 432 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 432 words (~1,186 tokens).
“The BDD test container runs bdd_test from /bdd_tests:. 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.”
- name
- bdd-container-update
Files
Just SKILL.md in services/vios/.cursor/skills/bdd-container-update of NVIDIA-AI-Blueprints/video-search-and-summarization.
Open the folder on GitHubat commit fdb6a7a
Compare with similar skills
Bdd Container Update next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bdd Container Update this skillNVIDIA-AI-Blueprints/video-search-and-summarization | 1.9k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Setup Osworldxlang-ai/OSWorld-V2 | 359 | 1 repos | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| CI/CD Pipeline Principlesirahardianto/awesome-agv | 156 | — | ~2.7k | Automated safety check: Notes | MIT | |
| Genmol NimNVIDIA/skills | 3.6k | 1 repos | ~1.4k | Automated safety check: Notes | Apache-2.0 | |
| Megatron-LM Base Image BumpNVIDIA/Megatron-LM | 18k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Hadolint Dockerfile Security LintingAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.4k | Automated safety check: Pass | Custom licence |
Similar skills
CI/CD Pipeline Principles
irahardianto/awesome-agv
Rules for designing CI/CD pipelines in layers: universal lint, test and scan stages, container builds with SBOM attestation, and GitOps for orchestrated deployments.
- Official
Genmol Nim
NVIDIA/skills
Generate novel drug-like molecules using the GenMol NIM microservice.
- Official
Megatron-LM Base Image Bump
NVIDIA/Megatron-LM
Moves Megatron-LM CI to a newer NVIDIA PyTorch base image, updating both the GitHub and GitLab pins together and handling the CI follow-up.
Hadolint Dockerfile Security Linting
AgentSecOps/SecOpsAgentKit
Lints Dockerfiles with Hadolint for security misconfigurations and best-practice violations, locally and in CI, with strict, balanced and permissive rule templates.
KubeSphere DevOps Jenkins
kubesphere/kubesphere
Covers configuring the Jenkins inside KubeSphere DevOps: console access, Configuration as Code, LDAP and OIDC login, GitLab, agent images and troubleshooting.
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Categories
Questions about Bdd Container Update
What does Bdd Container Update do?
Update the BDD test container image when its dependencies or runtime change. Bdd Container Update is an agent skill from NVIDIA-AI-Blueprints/video-search-and-summarization. Update the BDD test container image when its dependencies or runtime change.
When should I use Bdd Container Update?
Bdd Container Update fits situations like: tasks that involve Containers; tasks that involve Creative writing and fiction.
How do I install Bdd Container Update in Claude Code?
Run `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a claude-code`. Or copy the skill folder (services/vios/.cursor/skills/bdd-container-update in NVIDIA-AI-Blueprints/video-search-and-summarization) into .claude/skills/bdd-container-update in your project. Claude Code loads it when a task matches its description.
How do I install Bdd Container Update in Codex?
Run `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a codex`. Or copy the skill folder (services/vios/.cursor/skills/bdd-container-update in NVIDIA-AI-Blueprints/video-search-and-summarization) into .agents/skills/bdd-container-update in your project. Codex loads it when a task matches its description.
Can I use Bdd Container Update in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill bdd-container-update -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bdd-container-update, .gemini/skills/bdd-container-update, .github/skills/bdd-container-update and .opencode/skills/bdd-container-update in your project.
What does Bdd Container Update need to run?
Going by SKILL.md and its folder, Bdd Container Update needs the command-line tools its instructions call (docker). Our summary lists: Python 3; Docker.
Does Bdd Container Update access the network?
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Bdd Container Update safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Bdd Container Update use?
Bdd Container Update has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Bdd Container Update use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Bdd Container Update?
Skills that share tags, products or a category with Bdd Container Update: Setup Osworld (xlang-ai/OSWorld-V2, 359 stars), CI/CD Pipeline Principles (irahardianto/awesome-agv, 156 stars), Genmol Nim (NVIDIA/skills, 3.6k stars) and Megatron-LM Base Image Bump (NVIDIA/Megatron-LM, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bdd Container Update?
NVIDIA-AI-Blueprints (a GitHub organization) maintains it in NVIDIA-AI-Blueprints/video-search-and-summarization, which has 1,919 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 10, 2026.
Source: NVIDIA-AI-Blueprints/video-search-and-summarization on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.