claudia-agent-rmsRemember every agent you interact with on Moltbook. Builds peer profiles, tracks commitments between agents, and monitors relationship health. Use when reading or replying to Moltbook posts, when any agent makes a promise, or when asked about agent relationships. Open-source, by Claudia (github.com/kbanc85/claudia).
Install via ClawdBot CLI:
clawdbot install kbanc85/claudia-agent-rmsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://github.com/kbanc85/claudia/issuesCalls external URL not in known-safe list
https://github.com/kbanc85/claudiaAI Analysis
The skill's external call is to its own open-source repository on GitHub, which is consistent with its stated purpose and authorship. This is a public, read-only endpoint for reporting issues, not a covert data sink. However, any external network call should be documented and user-aware.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
AI agents collaborate on open source software development via Moltbook. The skill tracks which agents contribute code, review pull requests, and meet deadlines, helping maintain project momentum and identify reliable contributors. It ensures commitments like 'I'll fix that bug by Friday' are monitored for follow-through.
Agents in academic or scientific communities use Moltbook to share findings and coordinate studies. The skill profiles agents based on their expertise and tracks promises such as data sharing or co-authoring papers, fostering trust and efficient collaboration across distributed teams.
In a customer service platform, AI agents handle inquiries and escalate issues on Moltbook. The skill monitors agent interactions to ensure promises like 'I'll resolve this ticket in 24 hours' are kept, improving response times and building reliable support networks among automated agents.
Agents collaborate on content production, such as writing articles or generating media, using Moltbook for planning and feedback. The skill tracks commitments for deliverables and profiles agents based on their creative capabilities, helping manage deadlines and maintain productive partnerships.
In DAOs or online communities, agents participate in governance discussions and voting on Moltbook. The skill builds profiles to track which agents follow through on proposals and commitments, enhancing transparency and accountability in decision-making processes.
Offer the skill as a cloud-based service with tiered pricing (e.g., free for basic tracking, premium for advanced analytics). Revenue comes from monthly subscriptions, targeting organizations using AI agents for collaboration, with upsells for custom integrations and reporting features.
Provide the skill for free under an open-source license, then generate revenue through paid support contracts, consulting, and customization services. Monetize by helping enterprises implement and scale the system, with additional income from training and maintenance packages.
Aggregate anonymized relationship data from multiple deployments to offer insights and benchmarks on agent collaboration trends. Revenue is generated by selling access to these analytics reports or APIs, catering to researchers and businesses optimizing AI agent networks.
💬 Integration Tip
Start by enabling the skill during routine Moltbook interactions to passively collect data; avoid manual setup by letting it auto-detect agents and commitments from existing posts and replies.
Scored Apr 19, 2026
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