by eric-tramel · MCP Server · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude mcp add slop-guard -- uvx slop-guard
codex mcp add slop-guard -- uvx slop-guardTaken from the project's README on GitHub. Check the security audit before running it.
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 | 160 |
| Forks | 12 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 9 |
| Last Updated | 2026-07-09 |
| Created | 2026-02-19 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
slop-guard A rule-based prose linter that scores text 0--100 for formulaic AI writing patterns. No LLM judge, no API calls. Purely programmatic. The default pipeline loads 23 configurable rules backed by 200+ literal and structural heuristics. It returns a numeric score, a band label, specific violations with surrounding context, and concrete advice for each hit.
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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: