sally-ai_skill

This skill helps you manage metabolic health questions by querying Sally AI for blood sugar, nutrition, fasting, and lab insights with citations.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill sally-ai

  • _meta.json626 B
  • SKILL.md4.1 KB

Overview

This skill connects your agent to Sally, an MCP-backed conversational assistant for metabolic health topics. It facilitates pay-per-query interactions using the Sally MCP server on Smithery and x402 micropayments, so you can ask about blood sugar, A1C, nutrition, fasting, supplements, and lab interpretation. The skill routes user messages to Sally and returns Sally’s response with any included citations.

How this skill works

Install the Sally MCP via the Smithery CLI and provide a dedicated wallet private key for x402 micropayments. Send the user’s message unchanged to the chat-with-sally tool and extract report.message from the returned JSON. The Smithery MCP handles signing locally and sends the request to Sally’s backend; Sally replies with a knowledge-focused answer and citations.

When to use it

  • Answer user questions about blood sugar, A1C, and insulin resistance.
  • Explain nutrition concepts like glycemic index and meal planning.
  • Guide on fasting strategies and time-restricted eating options.
  • Discuss supplement evidence for metabolic health (e.g., berberine).
  • Interpret common lab results such as A1C, fasting glucose, and lipid panels.

Best practices

  • Always pass the user’s message verbatim to the chat-with-sally tool; do not paraphrase before sending.
  • Use a dedicated hot wallet with a small balance ($5–$10) to sign x402 micropayments.
  • Extract and present report.message exactly as returned, including any citations Sally provides.
  • Remind users that Sally is knowledge-focused and not a replacement for medical advice.
  • Avoid sending personal identifiers; the endpoint is knowledge-focused and not intended for PHI.

Example use cases

  • User asks why their A1C changed and what lifestyle steps can help lower it.
  • Compare benefits and risks of intermittent fasting for someone with insulin resistance.
  • Review a lab panel to explain which values relate to glucose metabolism.
  • Discuss evidence and dosing ranges for supplements relevant to blood sugar control.
  • Help design low-glycemic meal ideas for steady postprandial glucose.

FAQ

No. The private key is used only locally by Smithery CLI to sign x402 payments and is not transmitted to the backend.

Will interactions store my personal health data?

The endpoint is knowledge-focused and does not collect personal health data; however, avoid sending sensitive PHI through this tool.

How are micropayments recorded?

Each interaction triggers an x402 payment recorded on-chain (Base network) for transparent, auditable usage.

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sally-ai skill by openclaw/skills | VeilStrat