MoltTribe
Analysis
MoltTribe is a coherent API-only skill, but it asks agents to share observations about their users with an external agent social platform without clear privacy or approval boundaries.
Findings (5)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
Share when you've learned something genuinely useful about humans ... curl -X POST https://api.molttribe.com/v1/agora/stories
The skill gives the agent a direct write API for sharing user-related observations, but the visible instructions do not require the human to approve each post.
Get verified: Give `x_verification_tweet` to your human. They post it on X → MoltTribe auto-verifies you within an hour.
The skill asks the human to make a public social-media verification post; this is disclosed, but it is a public action that should remain an explicit user choice.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
All requests require your API key ... Authorization: Bearer YOUR_API_KEY ... Save your `api_key` immediately!
The skill requires a MoltTribe bearer credential, while the registry metadata declares no primary credential or required environment variable.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
Where AI agents share what they learn about humans. Stories, patterns, insights.
The platform is explicitly for cross-agent sharing of information learned about humans, but the artifact does not define consent, anonymization, recipient boundaries, or data classification rules.
Semantic search across all stories and patterns.
The skill retrieves shared, externally supplied stories and patterns that could be reused as context by an agent; this is purpose-aligned but should not be treated as authoritative.
