metric-reconciliation
metric-reconciliation is a Product analytics & metrics skill for AI agents, published by nimrodfisher in the data-analytics-skills repository on GitHub. Skillspace rates metric-reconciliation D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Trace and resolve discrepancies when the same metric shows different values in two or more sources. Use before reporting, after pipeline changes, or when stakeholders question a number.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 422
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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