| name | writing:score |
| description | Score a single input for AI writing patterns on a per-1000-word basis. Use to measure trope density across vocabulary, marketing verbs, and structural patterns, compare two drafts, or score code comments separately, without rewriting. Reports hit counts and density per category, never gates. |
| argument-hint | <file-path-or-text> |
| user-invocable | true |
| allowed-tools | ["Bash","Read"] |
Score
Measure AI writing patterns in one input and report density per category. Quantifies trope load so you can compare drafts or track a file over time. To list every match with positions, use writing:scan. To rewrite an input, use writing:rewrite.
Input
$ARGUMENTS is a single input: a file path, inline text, or stdin.
bun ${CLAUDE_SKILL_DIR}/scripts/score.ts path/to/file.md
bun ${CLAUDE_SKILL_DIR}/scripts/score.ts "inline text to score"
cat draft.md | bun ${CLAUDE_SKILL_DIR}/scripts/score.ts
Run with --help for all flags.
Scoring
The word count is word tokens (/[a-zA-Z]+/) over the text with code stripped, matching how the detection wordlists tokenize. Density is hits / (wordCount / 1000), so it reads as hits per 1000 words. The raw word count prints in each group header so you can judge whether the sample is large enough to trust.
Hits are threshold-crossing counts from the shared detection engine (detection/scan.ts), the same categories the tropes hook and writing:scan use. A weighted group (marketing verbs, soft phrasing) counts as one hit when it crosses its threshold.
Output
A table per group with category, hits, and density, sorted by density. The --json flag emits the structured report for diffing two runs. The command is informational: every run returns success, so it never gates anything.
Comments
For non-prose source files, single-line comments (//, #) are extracted and scored as a separate comments group, so prose-only patterns apply to them without an AST. On by default for source files, off for prose files (.md and friends, whose fenced code blocks are already stripped). Force it with --comments or suppress it with --no-comments.
Voice Delta
--voice-delta appends a table of voice rate features (first-person rate, sentence length, backtick density, and friends) beside the rates from the local voice baseline (--data-dir overrides the location). Each feature carries a provenance label: skill-prescribed drift means tune the skill, skill-encouraged deficits mean the skill is under-applied, and ungoverned features are genuine voice signal. A register check skips the baseline comparison for inputs too short or too markdown-heavy to compare against the PR-body baseline. The table is informational and never gates.
Custom Vocabulary
--wordlist <path> compiles an extra stemmed vocabulary file (one term per line, # comments allowed) and scores it as a custom vocabulary category in every group. Use it to measure context-specific terms a general wordlist would not flag.
