sentry-issue

sentry-issue is a Runtime diagnostics & profiling skill for AI agents, published by decentraland in the unity-explorer repository on GitHub. Skillspace rates sentry-issue D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Investigate Sentry issues for the Decentraland Unity Explorer project. Trigger whenever a Sentry short ID is mentioned (e.g. UNITY-EXPLORER-M94, WEARABLE-PREVIEW-K3, "look at sentry issue M94", "can you check UNITY-EXPLORER-AB1") OR when a raw exception callstack is pasted. Fetches the issue and full stacktrace directly from Sentry, locates the relevant source files, identifies the root cause, provides reproduction steps, suggests fixes grounded in the project's patterns, and offers to set up a fix branch. Use this skill even if the user just pastes an issue ID without asking a specific question.

Grade
D
Quality
55 / 100
Safety
Passed
GitHub stars
22

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubdecentraland/unity-explorer

Our review

Architecture
84 / 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

Better-rated skills in Runtime diagnostics & profiling

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