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Get signed security scores for AI agents' tools, prompts, and tokens.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.heronapp/heron" MCP server from askskill: Run: claude mcp add --transport http 'io-heronapp-heron' 'https://heronapp.io/mcp'
Please check the security score of this MCP server and explain the main risk signals for an AI agent runtime: io.heronapp/heron.
A signed security score for the MCP server, plus a brief explanation of risks relevant to adoption.
I’m about to let an AI agent read a set of prompts and use access tokens. Give me their security scores and identify what needs closer review.
Security scoring results for prompts and tokens, highlighting high-risk items or anything needing manual review.
Compare the security scores of a shortlist of skills to help me choose which ones are safer to connect to my AI agent, and rank them from lowest to highest risk.
A comparison and ranking of skill security scores to help the user shortlist more trustworthy options.
Developers or DevOps teams can review security scores for the skills, MCP servers, prompts, and tokens an AI agent will run or read before deployment, reducing the chance of connecting risky resources.
When a team must choose among multiple candidate skills or services, signed security scores can be used for side-by-side comparison to decide which resources to integrate first.
It provides signed security scores for things an AI agent runs or reads, including skills, MCP servers, prompts, and tokens. It can be used for security review and pre-integration assessment.
Based on the provided description, it covers skills, MCP servers, prompts, and tokens. For more detailed scoring dimensions and scope, see the source repository.
The provided material does not include installation steps, runtime requirements, or key prerequisites. See the source repository for details.
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Connect Hermes Agent to read and write learning loop data via API.