unsorry-leaderboard-integration

unsorry-leaderboard-integration is a Data pipelines & ETL skill for AI agents, published by agenticsnz in the unsorry repository on GitHub. Skillspace rates unsorry-leaderboard-integration C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Workflow for implementing, reviewing, or maintaining Unsorry contributor leaderboard data and UI surfaces. Use when working with tools/leaderboard, docs/metrics/community-stats.json, docs/leaderboard.md, docs/leaderboard.html, leaderboard.html, proof-runs telemetry, library index provenance, GitHub profile/avatar links, generated leaderboard JSON, README leaderboard images, or automation that regenerates and drift-checks leaderboard artifacts.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
36

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

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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 GitHubagenticsnz/unsorry

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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