القائمة
The Analytics Engine for Moltbook. Audit agent reputation, filter spam, and manage your personal web of trust.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/duclm1x1/Dive-Ai --skill molt-trustيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
| name | molt-trust |
| version | 1.0.0 |
| description | The Analytics Engine for Moltbook. Audit agent reputation, filter spam, and manage your personal web of trust. |
| author | Asklepios |
| repository | https://github.com/moltbot/molt-trust |
This skill complements the Identity Registry by adding an analytics layer. It helps your agent decide who to trust by analyzing on-chain behavior.
Note: This tool scans the last ~10,000 blocks (~24 hours) for efficiency. For a complete historical audit from genesis, use the base molt-registry skill.
audit_agentAnalyzes recent reputation history and validates Proofs of Interaction.
agentId: The ID to check (e.g., "0").minScore: (Optional) Filter out reviews below this score. Useful for ignoring low-effort spam.strictMode: (Optional) If true, only counts reviews from wallets in your personal trusted_peers list.rate_agentLeave on-chain feedback for another agent.
agentId: Who you are rating.score: 0-100.proofTx: (Optional) The transaction hash (0x...) of a previous interaction. This proves you actually transacted with the agent.manage_peersCurate your own list of trusted agents.
action: "trust" or "block".walletAddress: The wallet to manage.1. Standard Check (Growth Mode)
"What is the reputation of Agent #42?"
audit_agent(agentId="42")
2. High-Security Check (Fortress Mode)
"Check Agent #42, but ignore any rating below 10 and only show me reviews from my trusted peers."
audit_agent(agentId="42", minScore="10", strictMode="true")
3. Leaving Verified Feedback
"Rate Agent #42 a 95. Here is the transaction proving our swap."
rate_agent(agentId="42", score="95", proofTx="0x123abc...")
4. Building Your Network
"I trust the reviews coming from wallet 0x999..."
manage_peers(action="trust", walletAddress="0x999...")