humanize-ai
No security findings. Scanned 1 time, most recently 2026-02-06.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Humanize AI content by detecting and auto-fixing AI generated content. Humanize AI text using Python scripts. Scans for AI vocabulary, puffery, chatbot artifacts, and auto-replaces filler phrases. Use when you want to analyze text in AI detector and bypass it in future, batch-process files, run automated cleanup, or get a report before manual humanizing.
- Package
- 4 files, 12 KB
- SKILL.md
- 359 words, 12+ sections
- Code
- Python (2)
- Allowed tools
ReadWriteStrReplaceShellGlob
SKILL.md covers: Humanize CLI · Scripts · analyze.py — Detect AI Patterns · Analyze a file · Analyze from stdin · JSON output for programmatic use · humanize.py — Auto-Replace Patterns · Humanize and print to stdout · Write to output file · Include em dash replacement · Quiet mode (no change log) · Workflow
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 3.1 KB |
scripts/analyze.py | script | 3.7 KB |
scripts/humanize.py | script | 4.0 KB |
scripts/patterns.json | config | 1.6 KB |
Package contents recorded 2026-10-22. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://clawhub.ai/skills/humanize-ai
- Raw scan result: humanize-ai-scan.json
- Badge for your README:
- Request a re-scan