by seyedehsanhadi · Agent Tool · ★ 404
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add seyedehsanhadi/sloptrim
/plugin install sloptrim@sloptrimTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
One of 23 tools we ran end to end on the same task for our Humanizer & Anti-Slop Skills page (2026-10-07).
Our pick for English text: The best-reading rewrites in the test (4.5 of 5) with every fact kept. Like the rest, it changes wording, not structure.
Result: Reads human 4.5/5 · Changed wording, not structure · kept every fact · flagged 6 (0 about structure) · 1 min
| Stars | 404 |
| Forks | 28 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-22 |
| Created | 2026-08-13 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
A local detector for AI-writing patterns. It scores the first 262,144 characters of extracted prose in files saved through supported file-edit tools, and asks for the flagged spans to be fixed. Plain text is accepted up to 512 KB, supported archives up to 4 MB. Python standard library only, no network, no model. Prose only, never code.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: