policyengine-calibration-diagnostics

policyengine-calibration-diagnostics is a Statistical modelling skill for AI agents, published by PolicyEngine in the policyengine-claude repository on GitHub. Skillspace rates policyengine-calibration-diagnostics D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Sensitivity registry for PolicyEngine microsim results — maps {program x deviation signature} to the calibration target or imputed variable most likely driving a mismatch, and reads the live per-target diagnostics for the current Populace release. The knowledge base behind the calibration-diagnostics agent and /analyze-policy Stage 5.6. Load when investigating why a microsim result differs from a prior score, or when reviewing whether a reform classification is calibration-sensitive. Triggers: "why does my reform not match", "policyengine cost off", "calibration mismatch", "imputed variable", "takeup rate", "non-filer", "itemizer share", "small state variance", "calibration target", "populace target", "calibration dashboard", "target-diagnostics", "relative_error", "diagnose mismatch", "deviation signature".

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
31

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
MIT
Adoption
Adopted by 1 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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