reducing-entropy — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited reducing-entropy (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
More code begets more code. Entropy accumulates. This skill biases toward the smallest possible codebase.
Core question: "What does the codebase look like after?"
Load at least one mindset from `references/`
Do not proceed until you've done this.
The goal is less total code in the final codebase - not less code to write right now.
Measure the end state, not the effort.
Not "what's the smallest change" - what's the smallest result.
Count lines before and after. If after > before, reject it.
Every change is an opportunity to delete. Ask:
See references/ for philosophical grounding.
To add new mindsets, see adding-reference-mindsets.md.
Bias toward deletion. Measure the end state.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.