pherkadlisted

# Pherkad Run a structured review of whether written output matches one specific person's voice profile. Pherkad runs a structured diagnostic against text to surface generic phrasing, voice drift, and tone misalignment. It produces an actionable report with cited evidence, never a bare score. Three parts do the work: - **The tell catalog** (this skill plus `references/ai_tells.md`): documented AI-writing tells and the scoring protocol. Generic, shared by every user. - **The voice profile** (`Voice_Profile.md` in the user's working folder): what this one writer actually sounds like. Personal, built once, refined over time. Never part of this repository. - **The mechanical linter** (`tools/voicelint.py`): the configurable, regex-based subset of the catalog. It finds literal patterns and a small number of heuristic context checks. The model must review technical uses, quotations, and other cases that need judgment. - **The structural checker** (`tools/structlint.py`): the half of the catalog that has no string to match. It reads sentence and header shape, so it catches the clipped balanced parallel, a run of three or more short sentences, and a header that strikes a pose rather than naming its subject. Everything it reports is a warning, because these are judgment calls that over-fire by design. Run it alongside the linter, never instead of it. ## Modes Pherkad runs in two directions against the same profile and the same tell catalog. - **Validation** (Steps 0 through 6 b