Score breakdown0 Version history1 Source
Category Weight Category score Contribution
Security prompt, exec, net, exfil, eval
35%
100
35.0 pts
Supply chain hash, typosquat, maintainer, lockfile
20%
100
20.0 pts
Maintenance staleness, pinning, CI
15%
100
15.0 pts
Transparency SKILL.md, perms, README
15%
100
15.0 pts
Community installs, verify, response
15%
100
15.0 pts
Findings & checks · 0 flagged
Security score 100 · 0 findings
✓ — All security checks passedNo findings in this category for the latest scan. pass
Supply chain score 100 · 0 findings
✓ — All supply chain checks passedNo findings in this category for the latest scan. pass
Maintenance score 100 · 0 findings
✓ — All maintenance checks passedNo findings in this category for the latest scan. pass
Transparency score 100 · 0 findings
✓ — All transparency checks passedNo findings in this category for the latest scan. pass
Community score 100 · 0 findings
✓ — All community checks passedNo findings in this category for the latest scan. pass
Every scanned point with the score it earned and what moved between them.
1 scans · 90 days d97a2e4 latest
Jun 23, 2026 100 d97a2e4
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
library/specializations/ai-agents-conversational/skills/opentelemetry-llm/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/opentelemetry-llm/SKILL.md 1.3 KB · Markdown Rendered Raw ⧉ Copy
name : opentelemetry-llm
description : OpenTelemetry instrumentation for LLM applications with distributed tracing
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
OpenTelemetry LLM Skill Capabilities Configure OpenTelemetry SDK for LLM apps Implement LLM-specific instrumentation Set up trace exporters (Jaeger, OTLP) Design semantic conventions for LLM Configure span attributes for AI workloads Implement context propagation Target Processes llm-observability-monitoring agent-deployment-pipeline Implementation Details Core Components TracerProvider : SDK configurationSpanProcessor : Batch/simple processorsExporters : Jaeger, OTLP, ConsoleInstrumentation : Auto and manualLLM Semantic Conventions gen_ai.system (OpenAI, Anthropic) gen_ai.request.model gen_ai.request.max_tokens gen_ai.response.finish_reason gen_ai.usage.prompt_tokens Configuration Options Exporter selection Sampling strategies Resource attributes Span limits Context propagation Best Practices Consistent attribute naming Appropriate sampling Error handling traces Propagate context across services Dependencies opentelemetry-sdk opentelemetry-exporter-* openinference (optional)