by agent-sh · Agent Tool · ★ 7
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Full audit →
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.
| Stars | 7 |
| Forks | 0 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 64/100 |
| Last Updated | 2026-10-06 |
| Created | 2026-02-21 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
AI slop cleanup with minimal diffs and behavior preservation
Looking for a deslop alternative? If you're comparing deslop with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A verification-first engineering toolkit for Claude Code. Built for senior ICs and tech leads who already know
Governance-first orchestration for Claude Code, Codex, and Gemini CLI — parallel workers, receipts, quality ga
Professional Claude Code marketplace with 140 development tools: 67 skills, 28 commands, 30 agents, 15 workflo
Sync MCP servers, Skills, Agents & Commands across Claude Code, Cursor, OpenCode, Codex. One config, all tools
Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, a
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Explore other popular agent tool tools:
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: