by sodam-ai · MCP Server · ★ 49
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.
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 | 49 |
| Forks | 9 |
| Language | JavaScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 59/100 |
| Last Updated | 2026-11-02 |
| Created | 2026-06-07 |
| Platforms | claude-code, codex, gemini, mcp, node |
| Est. Tokens | ~23k |
AI에게 '정리해줘'라고 하면 흩어진 자료를 옵시디언(원본)에 노트로 정리하고, 관련 노트끼리 연결·분류·요약하고, 선택적으로 노션에 색인하는 Claude Code 플러그인 + 이식형 MCP 코어. 보관함 자동탐지·정리·자동 링크/MOC·자동 분류·요약(원자 노트)·검색(가짜 인용 방지)·볼트 건강검진(중복·깨진 링크·고아 탐지, 삭제 없는 안전 수정)·작업 로그. 사람 승인 게이트·원문 보존 알림·경로/프롬프트 인젝션 방어·무의존.
These tools work well together with SoDam-WikiMate for enhanced workflows:
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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: