manage-kiro-tracing

manage-kiro-tracing is an LLM evaluation & observability skill for AI agents, published by Arize-ai in the coding-harness-tracing repository on GitHub. Skillspace rates manage-kiro-tracing D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Set up and configure Arize tracing for Kiro CLI sessions. Use when users want to set up Kiro tracing, configure Arize AX or Phoenix for Kiro, enable/disable tracing, choose or set a default traced agent, or troubleshoot Kiro tracing issues. Triggers on "set up kiro tracing", "configure Arize for Kiro", "configure Phoenix for Kiro", "enable kiro tracing", "setup-kiro-tracing", "kiro agent tracing", or any request about connecting Kiro CLI to Arize or Phoenix for observability.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
21

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.

View source on GitHubArize-ai/coding-harness-tracing

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • 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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