Anti Ai Writing Humanizer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Anti Ai Writing Humanizer (Plugin) 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.
Aggregate score unchanged between these scans.
The primary manifest — the file an agent reads to learn what this artifact does.
Humanize AI-written text. A portable agent skill that writes prose — or rewrites it — so it doesn't read as AI. Plain words over inflated ones, specific facts over puffery, uneven human rhythm over the metronome. Works in Claude Code, Cursor, Codex, and OpenClaw.
Before (15+ AI tells in two sentences):
In today's rapidly evolving fintech landscape, our platform serves as a testament to seamless innovation, leveraging cutting-edge technology to foster vibrant communities. Despite its challenges, the product continues to thrive — showcasing not just growth, but also resilience.
After:
Our platform settles P2P trades in under three seconds. We had two outages this quarter and fixed both inside an hour. Growth is steady: 4,000 active traders, up from 2,500 in March.
It caught: significance inflation ("serves as a testament"), the abstract "landscape", four word swaps (leverage, foster, seamless, showcasing), "vibrant", the "Despite its X… continues to thrive" formula, "not just X, but also Y" parallelism, an em dash, and the vague claims with no numbers — then replaced the puffery with specifics.
"Make this sound human" catches the obvious words. This skill goes further:
Long-form (an article, a post) loads a full detection engine and iterates until clean.
tells (rigid templates, uniform rhythm), AI fingerprints (placeholders, citation-markup leaks, UTM params), and stylometric checks.
engine supplies breadth.
"sudden style shift" tell that stitched-together rewrites create.
Three layers, with a clear precedence so nothing drifts:
single source of truth; wins on conflict. This is the one file you customize.
synthesized from the house rules, Wikipedia's "Signs of AI writing" catalog, and the engine. Each rule is tagged with its source.
On the heavy pass the engine detects, the house rules overlay (and win), and the rewrite iterates to convergence — re-scanning until a pass makes no new edits.
skills CLI (any agent)One command, via skills.sh. It installs to Claude Code, Cursor, Codex, Windsurf, and 60+ other agents:
npx skills add daniel-bogale/anti-ai-writing-humanizerAdd -g for a global install (all projects), or -a claude-code -a cursor to target specific agents. Once installed, it auto-triggers on phrases like "humanize this", "remove AI-isms", or "rewrite so it doesn't sound like ChatGPT".
For a versioned, updatable plugin (also the path for Claude Cowork, which loads skills only from plugins):
/plugin marketplace add daniel-bogale/anti-ai-writing-humanizer
/plugin install anti-ai-writing-humanizer@daniel-bogale-skillsThe skill lives at skills/anti-ai-writing-humanizer/. Clone the repo and point your agent at that folder — e.g. for a bare Claude Code skill:
git clone https://github.com/daniel-bogale/anti-ai-writing-humanizer /tmp/aaw
cp -r /tmp/aaw/skills/anti-ai-writing-humanizer ~/.claude/skills/The same folder works for Codex (~/.agents/skills/) and OpenClaw (~/.openclaw/skills/).
mkdir -p .cursor/rules
curl -o .cursor/rules/anti-ai-writing-humanizer.mdc \
https://raw.githubusercontent.com/daniel-bogale/anti-ai-writing-humanizer/main/cursor-rules/anti-ai-writing-humanizer.mdcSee cursor-rules/README.md. The Cursor port carries the same core rules in one self-contained file.
Just ask, in plain language:
Edit `references/house-rules.md` — add a banned word, loosen a rule, tighten another. It's loaded every pass and overrides the engine, so a change there takes effect everywhere with nothing else to touch.
Built from:
the pattern catalog the prescriptive rules distill (CC BY-SA 4.0).
(v3.9.0, MIT) — vendored unmodified at references/avoid-ai-writing.md as the deep detection layer.
Those sources are synthesized into references/write-human.md (the prescriptive ruleset) and a default references/house-rules.md. Full attribution in NOTICE.
MIT. The vendored engine is MIT © Conor Bronsdon; see NOTICE for third-party terms.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.