production-log-inspection

production-log-inspection is a Runtime diagnostics & profiling skill for AI agents, published by bikeindex in the bike_index repository on GitHub. Skillspace rates production-log-inspection D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Inspect the Bike Index production Rails logs downloaded by `binx_logs` and streamed with `binx_cat web` / `binx_cat worker` — JSON-per-request (Lograge) on web plus free-form background-job lines on worker, far too large to read end-to-end. Trigger when the user asks to review, investigate, audit, or pull stats from a production log file (slow requests, error spikes, status-code distribution, exception stack traces, per-endpoint hit counts, suspicious traffic, failing background jobs). Also triggers when chasing a specific incident from logs (e.g. "what happened at 04:42 UTC?", "why did `/search/registrations` 500?"). Honeybadger MCP is the right tool for *aggregated* exception triage across time; this skill is for ad-hoc analysis of log files already on disk.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
308

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.

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
AGPL-3.0
Adoption
Adopted by 0 other repositories, in 0 collections

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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