Deterministic scan
The CLI audits locally and records stable findings, input SHA-256 and a ruleset/config fingerprint.
ACTIVE SKILL · PYTHON · MIT
A source-traceable local skill for detecting AI-style writing risk and guiding full-article repair. It combines deterministic scanning with an agent-led editorial workflow without claiming authorship probability.
01 / WHAT IT DOES
The tool measures patterns that can make writing feel formulaic or AI-generated. It explicitly does not output an “AI probability” and does not claim to know who wrote the text.
The CLI audits locally and records stable findings, input SHA-256 and a ruleset/config fingerprint.
When the user asks for a full polish, the Agent rebuilds the article while preserving supplied facts, protected text and factual limits.
The same SKILL.md is designed for Codex, Claude Code and Hermes Agent without requiring an MCP server or provider-specific API.
02 / COMPOSITION
A project counts as an active component only when its ideas or rules are actually integrated. Merely reviewed repositories are not presented as part of the skill.
03 / USE
The CLI implements detect mode. Full repair is intentionally an Agent workflow rather than a fake CLI mode that silently behaves like detection.
python3 scripts/audit.py article.md \
--mode detect \
--language auto \
--profile general \
--format markdown
Company-specific brand facts, product constraints, legal policies and private editorial rules do not belong in this public skill. Those are intentionally left to downstream integrations or private overlays.