Annotator Input Parity Check Agent Skill
| Before designing, training, or auditing ANY model that replicates human-annotated labels, audit the annotation protocol's INPUT — the exact document/evidence the human labelers consulted — and give the model that is a hand-coded label set, (2) a label-replication model shows low recall concentrated in a label subset and the diagnosis on offer is "the label's information is not in the features", (3) reviewers propose construct splits (e.g. "designation vs record-evident"), adjudication sittings, or per-domain stop rules to explain residual disagreement with gold, (4) validating an extraction pipeline against labels transcribed from a source document. why gold is "partially unpredictable" when the model was simply never shown the document the annotators read.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/kennethkhoocy/applied-micro-skills --skill annotator-input-parity-checkOther skills for the same job
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How to use it
Take kennethkhoocy/annotator-input-parity-check from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.