traceway-setup
traceway-setup is an Observability & incident response skill for AI agents, published by tracewayapp in the traceway repository on GitHub. Skillspace rates traceway-setup C (72/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Connect a project to a Traceway instance so it reports endpoints, spans, errors, background tasks, AI traces, and metrics. Backends use OpenTelemetry over OTLP/HTTP, frontends and mobile apps (including native iOS/Swift) use the Traceway SDKs, and host metrics use the Traceway OTel Agent. Use when the user wants to add Traceway (or OpenTelemetry tracing that exports to Traceway) to a backend, frontend, full-stack, mobile, or iOS/Swift project. Accepts a project token and instance URL, e.g. "/traceway-setup with token abc123".
- Grade
- C
- Quality
- 72 / 100
- Safety
- Needs review
- GitHub stars
- 1,029
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Medium-risk patterns
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
What the scanner flagged
- reads environment variables
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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