metrics-instrumentation
metrics-instrumentation is an Observability & incident response skill for AI agents, published by comet-ml in the opik repository on GitHub. Skillspace rates metrics-instrumentation D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Specification for instrumenting an opik-backend workflow with operational OpenTelemetry metrics — per-stage throughput/latency/error counters and native histograms, dimensioned per-customer (workspace). Use when a pipeline (scoring, ingestion, experiments, jobs) needs per-stage visibility. Covers metric emission only; building the Grafana dashboard from these metrics is a separate skill. Distinct from analytics-instrumentation (PostHog product events).
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 20,620
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Repo-internal: written for the repository it lives in. Spec for instrumenting apps/opik-backend, this repo's own service
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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