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A skill your agent uses for VSS live metrics, OpenTelemetry traces, pipeline bottlenecks, and metrics-panel troubleshooting.
Install Vss Observability
$ npx skills add open-edge-platform/edge-ai-libraries --skill vss-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-observability --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-observability .claude/skills/vss-observability && 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-observability" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-observability into .claude/skills/vss-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-observability", 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-observabilityType 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-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-observability --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-observability .agents/skills/vss-observability && 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-observability" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-observability into .agents/skills/vss-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-observability", 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-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-observability --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-observability .cursor/skills/vss-observability && 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-observability" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-observability into .cursor/skills/vss-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-observability", 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-observability--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-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-observability --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-observability .gemini/skills/vss-observability && 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-observability" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-observability into .gemini/skills/vss-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-observability", 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-observabilityInstalls 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-observability -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-observability .github/skills/vss-observability && 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-observability" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-observability into .github/skills/vss-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-observability", 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-observability -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-observability --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-observability .opencode/skills/vss-observability && 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-observability" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-observability into .opencode/skills/vss-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-observability", 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-observability- GitHub stars
- 169
- Token cost
- ~913 tokens
- SKILL.md length
- 324 words
- Files
- 14 (incl. scripts, references)
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses for VSS live metrics, OpenTelemetry traces, pipeline bottlenecks, and metrics-panel troubleshooting.
- Works in 2 steps: Live system and dataprep metrics use… → Pipeline Manager traces use the Node…
- VSS live metrics
- SKILL.md covers Environment setup, What observability exists, Enable and verify live metrics and Enable traces, plus 1 more section
- Runs Shell scripts from its folder; calls curl and bash
What it does
Vss Observability is an agent skill from open-edge-platform/edge-ai-libraries. Use this skill for VSS live metrics, OpenTelemetry traces, pipeline bottlenecks, and metrics-panel troubleshooting. It is grounded in the Metrics Manager Compose/Helm integration and Pipeline Manager OTel wiring.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `BENCHMARK.md`, `evals/evals.json` and `evals/trigger-evals.json`).
It sits in DevOps & Cloud, covering Observability and Container orchestration. It works with OpenTelemetry, Docker and NGINX. 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
- VSS live metrics
- OpenTelemetry traces
- Pipeline bottlenecks
- Metrics-panel troubleshooting
Example prompts
- “/vss-observability”
Requirements
- A Bash shell
- Docker
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Live system and dataprep metrics use Metrics Manager. Set
- Pipeline Manager traces use the Node OpenTelemetry SDK. OTLP_TRACE_URL
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 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
curlbash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, 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
Vss Observability loads about 913 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 324 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). 324 words, ~913 tokens.
Download SKILL.mdSave it as
.claude/skills/vss-observability/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.- name
- vss-observability
- description
- Use this skill for VSS live metrics, OpenTelemetry traces, pipeline bottlenecks, and metrics-panel troubleshooting. It is grounded in the Metrics Manager Compose/Helm integration and Pipeline Manager OTel wiring.
VSS Observability
Use this only for sample-applications/video-search-and-summarization. Check
docker/compose.metrics-manager.yaml, config/nginx/nginx.conf,
ui/react/src/components/Search/TelemetryAccordion.tsx,
pipeline-manager/src/tracing.ts, and setup.sh before giving operational
advice.
Environment setup
Run the bundled bootstrap and work from the resolved app root:
SKILL_DIR=".github/skills/vss-observability"
APP_ROOT="$(bash "$SKILL_DIR/scripts/vss-bootstrap.sh")"
cd "$APP_ROOT"What observability exists
VSS has two independent paths:
- Live system and dataprep metrics use Metrics Manager. Set
ENABLE_METRICS_MANAGER=truein a search-enabled Compose deployment.docker/compose.metrics-manager.yamlstartsdocker.io/intel/metrics-manager:2026.2.0-20260715-weekly. DataPrep sendsdataprep_embeddings_per_secondto its simple-metrics REST API, and the UI consumes its SSE stream through nginx. - Pipeline Manager traces use the Node OpenTelemetry SDK.
OTLP_TRACE_URLselects an external OTLP HTTP endpoint; when it is empty, spans use the console exporter in Pipeline Manager logs. The service name isvideoSummary.
VSS does not bundle Jaeger, Tempo, an OpenTelemetry Collector, or a trace UI.
Enable and verify live metrics
ENABLE_METRICS_MANAGER=true source setup.sh --search
# or
ENABLE_METRICS_MANAGER=true source setup.sh --summary --search
curl -f http://localhost:12345/metrics-manager/health
curl -N http://localhost:12345/metrics-manager/metrics/stream
curl http://localhost:9273/metrics | headThe nginx routes are deliberately limited to /metrics-manager/health and
/metrics-manager/metrics/stream. The browser uses EventSource, reconnects
automatically, and marks data stale when events stop. Metrics Manager provides
CPU, RAM, GPU, and NPU values when the corresponding host devices exist;
DataPrep publishes embedding throughput asynchronously. Missing accelerator
metrics are valid on hosts without those devices.
Enable traces
OTLP_TRACE_URL=http://<trace-backend>:4318/v1/traces \
source setup.sh --summary --searchNo credentials or headers are configured by VSS, so use an endpoint reachable without them or extend the trace exporter explicitly.
Follow a video and find bottlenecks
- Save
videoIdfromPOST /manager/videosandsummaryPipelineId(thestateId) fromPOST /manager/summary. - Filter the trace backend for service
videoSummaryand the matching time window. Current auto-instrumented spans do not add those IDs as custom span attributes. - Inspect EVAM start/status requests for chunking, outbound VLM completion requests for captioning, outbound LLM completion requests for final summarization, and DataPrep calls for embedding/indexing.
- Cross-check
/manager/summary/<stateId>/raw,/manager/pipeline/evam, and/manager/pipeline/frames. - Compare slow DataPrep calls with
dataprep_embeddings_per_secondin the SSE stream. Compare model latency with CPU/RAM/GPU/NPU saturation.
Metrics delivery failures do not imply trace failures, and missing metrics do
not stop ingestion. search-ms does not currently have application-level OTel
trace wiring.
For API payloads, environment variables, and troubleshooting detail, read references/telemetry-setup.md.
© 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 13 other files (scripts, references) in sample-applications/video-search-and-summarization/.github/skills/vss-observability of open-edge-platform/edge-ai-libraries.
- SKILL.md
- BENCHMARK.md
- evals/evals.json
- evals/trigger-evals.json
- example-prompts/01-enable-telemetry-overlay.md
- example-prompts/02-configure-otel-trace-export.md
- example-prompts/03-trace-video-end-to-end.md
- example-prompts/04-diagnose-slow-processing.md
- example-prompts/05-check-collector-health-and-metrics.md
- example-prompts/06-clarify-telemetry-scope.md
- example-prompts/07-bootstrap-fresh-machine.md
- example-prompts/README.md
- references/telemetry-setup.md
- scripts/vss-bootstrap.sh
Open the folder on GitHubat commit 3084578
Compare with similar skills
Vss Observability 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 Observability this skillopen-edge-platform/edge-ai-libraries | 169 | — | ~913 | Automated safety check: Pass | Apache-2.0 | |
| Logfire Infrastructurepydantic/skills | 140 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Alloygrafana/skills | 279 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Aspire MonitoringCommunityToolkit/Aspire | 629 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Temps Best Practicesgotempsh/temps | 826 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Otel Collector Builderollygarden/opentelemetry-agent-skills | 106 | — | ~2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Vss Observability
What does Vss Observability do?
A skill your agent uses for VSS live metrics, OpenTelemetry traces, pipeline bottlenecks, and metrics-panel troubleshooting. Vss Observability is an agent skill from open-edge-platform/edge-ai-libraries. Use this skill for VSS live metrics, OpenTelemetry traces, pipeline bottlenecks, and metrics-panel troubleshooting.
When should I use Vss Observability?
Vss Observability fits situations like: VSS live metrics; openTelemetry traces; pipeline bottlenecks; metrics-panel troubleshooting.
How do I install Vss Observability in Claude Code?
Run `npx skills add open-edge-platform/edge-ai-libraries --skill vss-observability -a claude-code`. Or copy the skill folder (sample-applications/video-search-and-summarization/.github/skills/vss-observability in open-edge-platform/edge-ai-libraries) into .claude/skills/vss-observability in your project. Claude Code loads it when a task matches its description.
How do I install Vss Observability in Codex?
Run `npx skills add open-edge-platform/edge-ai-libraries --skill vss-observability -a codex`. Or copy the skill folder (sample-applications/video-search-and-summarization/.github/skills/vss-observability in open-edge-platform/edge-ai-libraries) into .agents/skills/vss-observability in your project. Codex loads it when a task matches its description.
Can I use Vss Observability 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-observability -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-observability, .gemini/skills/vss-observability, .github/skills/vss-observability and .opencode/skills/vss-observability in your project.
What does Vss Observability need to run?
Going by SKILL.md and its folder, Vss Observability needs a shell for the scripts in its folder and the command-line tools its instructions call (curl and bash). Our summary lists: A Bash shell; Docker.
Does Vss Observability access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Vss Observability 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 Observability use?
Vss Observability 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 Observability use?
About 913 tokens (SKILL.md is roughly 3.7k 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 710 tokens, read only when the agent opens those files.
What are the alternatives to Vss Observability?
Skills that share tags, products or a category with Vss Observability: Logfire Infrastructure (pydantic/skills, 140 stars), Alloy (grafana/skills, 279 stars), Aspire Monitoring (CommunityToolkit/Aspire, 629 stars) and Temps Best Practices (gotempsh/temps, 826 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vss Observability?
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.