de-ai-prose — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited de-ai-prose (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.
Readers can tell when a machine wrote the text, and it costs trust the same way sloppy code does. After you write any prose a person will read, read it back once and cut the tells. Plain words, varied sentences, say the thing instead of announcing you're about to say it.
Plain, varied sentences. Some short. Let one run long and a little uneven, like a person typing.
Say it directly instead of signposting it. Use em-dashes rarely. Prefer periods, commas, "and". Vary connectors.
Keep bold for genuinely key terms, not decoration. Drop a table where a sentence reads more naturally.
Read it back and ask: "would a tired engineer writing this actually phrase it this way?" If it sounds like a polished AI explainer, flatten it.
Before (AI voice):
Here's the thing about our caching layer — it's fast, it's simple, and it's reliable. The payoff? Sub-millisecond reads.
After (human):
The cache keeps reads under a millisecond. It's a plain in-memory map with a TTL, nothing clever.
What changed: dropped the signpost, dropped the triad, dropped the rhetorical question, said the concrete thing.
This skill must obey its own rule. The read-back pass applies here too. If this file sounds like AI, it has failed on its face.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.