Moav E2E
MotherofallVPNs/MoaV
Run and debug MoaV's end-to-end tests — real protocol connectivity (client-test.sh) and the moav CLI smoke test — against a LIVE server, via the self-hosted e2e workflow or a local test VPS.
Run this skill whenever the user asks to verify my VSS install works, smoke test VSS, check whether the deployment succeeded, or run an end-to-end test of summary/search for the…
Install Vss E2E Smoke
$ npx skills add open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-e2e-smoke --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/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke .claude/skills/vss-e2e-smoke && 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 "vss-e2e-smoke" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke into .claude/skills/vss-e2e-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-e2e-smoke", 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/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smokeType 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 open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-e2e-smoke --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke .agents/skills/vss-e2e-smoke && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vss-e2e-smoke" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke into .agents/skills/vss-e2e-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-e2e-smoke", 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 open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-e2e-smoke --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke .cursor/skills/vss-e2e-smoke && 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 "vss-e2e-smoke" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke into .cursor/skills/vss-e2e-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-e2e-smoke", 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/open-edge-platform/edge-ai-libraries.git --path sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke--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 open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-e2e-smoke --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke .gemini/skills/vss-e2e-smoke && 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 "vss-e2e-smoke" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke into .gemini/skills/vss-e2e-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-e2e-smoke", 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 open-edge-platform/edge-ai-libraries vss-e2e-smokeInstalls 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 open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .github/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke .github/skills/vss-e2e-smoke && 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 "vss-e2e-smoke" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke into .github/skills/vss-e2e-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-e2e-smoke", 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 open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-e2e-smoke --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke .opencode/skills/vss-e2e-smoke && 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 "vss-e2e-smoke" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke into .opencode/skills/vss-e2e-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-e2e-smoke", 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
vss-e2e-smoke- GitHub stars
- 169
- Token cost
- ~1.5k tokens
- SKILL.md length
- 520 words
- Files
- 16 (incl. scripts, references)
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Run this skill whenever the user asks to verify my VSS install works, smoke test VSS, check whether the deployment succeeded, or run an end-to-end test of summary/search for the…
- Search embedding work
- SKILL.md covers Environment setup (run first), Which smoke test to run, Prerequisites and Commands, plus 2 more sections
- Runs Shell scripts from its folder; calls bash
- Print PASS/FAIL
What it does
Vss E2E Smoke is an agent skill from open-edge-platform/edge-ai-libraries. Run this skill whenever the user asks to verify my VSS install works, smoke test VSS, check whether the deployment succeeded, or run an end-to-end test of summary/search for the video-search-and-summarization sample app. It provides one-command smoke tests that use the real Pipeline Manager and Search service APIs to upload a video, trigger summary or search embedding work, poll results, and print PASS/FAIL. Use it proactively for fresh deployments, mode changes, or suspected broken VSS services.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts and reference files (for example `BENCHMARK.md`, `evals/evals.json` and `evals/trigger-evals.json`).
It sits in Testing & QA, covering QA and bug reports, End-to-end testing and Deployment. The repository describes itself as: Libraries, microservices, tools, and other reference software, supporting development of performance-optimized Edge AI applications. The licence is Apache-2.0.
When your agent uses it
- Search embedding work
- Print PASS/FAIL
Example prompts
- “/vss-e2e-smoke”
Requirements
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 3084578. 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
Ships 3 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
bash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Vss E2E Smoke loads about 1.5k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 520 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); the scripts in this folder are not scanned.
SKILL.md
The full file from open-edge-platform/edge-ai-libraries at commit 3084578, republished under its Apache-2.0 licence (© open-edge-platform). 520 words, ~1,499 tokens.
Download SKILL.mdSave it as
.claude/skills/vss-e2e-smoke/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.- name
- vss-e2e-smoke
- description
- Run this skill whenever the user asks to verify my VSS install works, smoke test VSS, check whether the deployment succeeded, or run an end-to-end test of summary/search for the video-search-and-summarization sample app. It provides one-command smoke tests that use the real Pipeline Manager and Search service APIs to upload a video, trigger summary or search embedding work, poll results, and print PASS/FAIL. Use it proactively for fresh deployments, mode changes, or suspected broken VSS services.
VSS end-to-end smoke tests
Use this skill for the Video Search & Summarization sample application when a user wants a quick, real deployment check rather than unit tests. The bundled scripts exercise the same public APIs exposed by the running app.
Environment setup (run first)
This skill drives the Video Search & Summarization app through its real source files, so the VSS application must be present and you must run commands from its app root. Do this before anything else, and it works whether or not the VSS source is already in your workspace.
Run the bundled bootstrap. It first tries to find an existing VSS checkout -
walking up from the current directory and inspecting the enclosing git repo - and
reuses it without ever re-cloning. Only when no checkout is found does it do a
shallow, single-branch, sparse checkout of just
sample-applications/video-search-and-summarization from main. It prints the
resolved app root on stdout:
# SKILL_DIR is THIS skill's own directory (shown to you when the skill loads);
# in-repo it is .github/skills/vss-e2e-smoke. Works the same if the skill is installed standalone.
SKILL_DIR=".github/skills/vss-e2e-smoke"
APP_ROOT="$(bash "$SKILL_DIR/scripts/vss-bootstrap.sh")"
cd "$APP_ROOT"Every command below assumes the working directory is this APP_ROOT. To pull
from a fork/branch or reuse a specific checkout dir, override VSS_REPO_URL,
VSS_REPO_BRANCH, or VSS_CLONE_DIR before running it.
Which smoke test to run
- Summary mode (
source setup.sh --summary): runscripts/e2e_summary.sh. It uploads a video through Pipeline Manager, starts the summary pipeline, polls state, verifies chunking, and requires a non-empty final summary. - Search mode (
source setup.sh --search): runscripts/e2e_search.sh. It uploads a video through Pipeline Manager, creates search embeddings, queries the search service, and requires non-empty hits. - Dual mode (
source setup.sh --summary --searchor--dual): run both scripts. Summary and frame-search are independent capabilities. - Unified mode (
source setup.sh --summary-and-search,--search-and-summary,--all, or--unified): runscripts/e2e_summary.shfirst, thenscripts/e2e_search.sh. Unified mode uses both summary and search services; if search is configured over summary text, the summary pass confirms the source content exists.
Show full SKILL.md (229 more words)Show less
Prerequisites
- Start VSS first with
source setup.sh --summary,--search,--dual, or--unified. - Default external API base is
http://localhost:12345/managerthrough nginx (APP_HOST_PORT=12345). The scripts also accept a host root such ashttp://localhost:12345and will detect/manager. curl,bash, andpython3must be available.- Provide a streamable MP4 if the repository sample fallback is not suitable. The checked
APP_ROOT/datadirectory currently contains no sample videos; seereferences/sample-assets.md.
Commands
From this skill directory:
# Summary smoke; optional first arg is a video path, optional second arg is Pipeline Manager API base
./scripts/e2e_summary.sh [video.mp4] [http://localhost:12345/manager]
# Search smoke; optional first arg is a video path, optional second arg is Pipeline Manager API base
./scripts/e2e_search.sh [video.mp4] [http://localhost:12345/manager]Useful environment overrides:
VSS_API_BASE=http://localhost:12345/manager # upload, summary, embeddings, manager search
VSS_SEARCH_BASE=http://localhost:7890 # optional direct video-search service base for /query
VSS_QUERY='person walking near shelves' # natural-language query for search smoke
VSS_TIMEOUT_SECONDS=1800 # summary/search polling timeout
VSS_POLL_INTERVAL_SECONDS=5 # poll interval
VSS_CHUNK_DURATION=10 # summary sampling.chunkDuration
VSS_SAMPLING_FRAME=5 # summary sampling.samplingFrame
VSS_FRAME_OVERLAP=0 # summary sampling.frameOverlap; multiFrame is derived
VSS_EVAM_PIPELINE=object_detection # summary evam.evamPipeline; API also allows video_ingestionInterpreting results
PASSmeans the script reached the expected final condition using real HTTP calls.FAILmeans the deployment is not ready, the wrong mode is running, the video was rejected, processing timed out, or a backend component returned an error.- For summary, check the printed
videoId,stateId, chunk counts, statuses, and summary excerpt. - For search, check the printed
videoId, embedding response, query text, and hit count. - A failing health check usually points at
APP_HOST_PORT, nginx, or Pipeline Manager. A failing search query with successful embedding usually points atvideo-search, VDMS, or embedding/dataprep services.
Grounding
These scripts are grounded in the current app code:
- Pipeline Manager OpenAPI:
docs/user-guide/_assets/vss-api.yaml - nginx API prefix:
docs/user-guide/api-reference.mdsays Pipeline Manager paths are prefixed with/manager/through nginx - Upload:
POST /manager/videosmultipart fieldvideo - Summary:
POST /manager/summary, pollGET /manager/states/{stateId} - Search embeddings:
POST /manager/videos/search-embeddings/{videoId} - Search query: direct search service
POST /querywith a list of{query_id, query}, or manager shimPOST /manager/search/query
© open-edge-platform, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 15 other files (scripts, references) in sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke of open-edge-platform/edge-ai-libraries.
- SKILL.md
- BENCHMARK.md
- evals/evals.json
- evals/trigger-evals.json
- example-prompts/01-fresh-summary-verify.md
- example-prompts/02-search-mode-custom-port.md
- example-prompts/03-dual-mode-full-coverage.md
- example-prompts/04-unified-mode-sanity.md
- example-prompts/05-diagnose-summary-fail.md
- example-prompts/06-bootstrap-fresh-machine.md
- example-prompts/07-bootstrap-fresh-machine.md
- example-prompts/README.md
- references/sample-assets.md
- scripts/e2e_search.sh
- scripts/e2e_summary.sh
- scripts/vss-bootstrap.sh
Open the folder on GitHubat commit 3084578
Compare with similar skills
Vss E2E Smoke 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 |
|---|---|---|---|---|---|---|
| Vss E2E Smoke this skillopen-edge-platform/edge-ai-libraries | 169 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Moav E2EMotherofallVPNs/MoaV | 448 | — | ~1.9k | Automated safety check: Notes | MIT | |
| Validate Stylebotankit/stylebot | 1.6k | — | ~780 | Automated safety check: Pass | MIT | |
| E2E Deploy Rhdhredhat-developer/rhdh | 172 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Whole-App Health Sweepreticlehq/reticle | 1.2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Stark Smoke TestScaffold-Stark/scaffold-stark-2 | 109 | — | ~3k | Automated safety check: Notes | None |
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Related
Categories
Questions about Vss E2E Smoke
What does Vss E2E Smoke do?
Run this skill whenever the user asks to verify my VSS install works, smoke test VSS, check whether the deployment succeeded, or run an end-to-end test of summary/search for the…. Vss E2E Smoke is an agent skill from open-edge-platform/edge-ai-libraries. Run this skill whenever the user asks to verify my VSS install works, smoke test VSS, check whether the deployment succeeded, or run an end-to-end test of summary/search for the video-search-and-summarization sample app.
When should I use Vss E2E Smoke?
Vss E2E Smoke fits situations like: search embedding work; print PASS/FAIL.
How do I install Vss E2E Smoke in Claude Code?
Run `npx skills add open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a claude-code`. Or copy the skill folder (sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke in open-edge-platform/edge-ai-libraries) into .claude/skills/vss-e2e-smoke in your project. Claude Code loads it when a task matches its description.
How do I install Vss E2E Smoke in Codex?
Run `npx skills add open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a codex`. Or copy the skill folder (sample-applications/video-search-and-summarization/.github/skills/vss-e2e-smoke in open-edge-platform/edge-ai-libraries) into .agents/skills/vss-e2e-smoke in your project. Codex loads it when a task matches its description.
Can I use Vss E2E Smoke 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 open-edge-platform/edge-ai-libraries --skill vss-e2e-smoke -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vss-e2e-smoke, .gemini/skills/vss-e2e-smoke, .github/skills/vss-e2e-smoke and .opencode/skills/vss-e2e-smoke in your project.
What does Vss E2E Smoke need to run?
Going by SKILL.md and its folder, Vss E2E Smoke needs a shell for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: A Bash shell.
Does Vss E2E Smoke access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Vss E2E Smoke 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Vss E2E Smoke use?
Vss E2E Smoke is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Vss E2E Smoke use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 241 tokens, read only when the agent opens those files.
What are the alternatives to Vss E2E Smoke?
Skills that share tags, products or a category with Vss E2E Smoke: Moav E2E (MotherofallVPNs/MoaV, 448 stars), Validate Stylebot (ankit/stylebot, 1.6k stars), E2E Deploy Rhdh (redhat-developer/rhdh, 172 stars) and Whole-App Health Sweep (reticlehq/reticle, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vss E2E Smoke?
open-edge-platform (a GitHub organization) maintains it in open-edge-platform/edge-ai-libraries, which has 169 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 8, 2026.
Source: open-edge-platform/edge-ai-libraries on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.