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Speakeasy Context

Checked
speakeasy-api·vlatest·agents·Apache-2.0

Speakeasy Context provides rich, real-time conversational history and user data to agents, boosting engagement & personalization.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add speakeasy-api/sdk-generation-skills --skill speakeasy-context -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

speakeasy-api

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned speakeasy-api/skills at d2eab5991e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d2eab5991e
Manifest
skills/speakeasy-context/SKILL.md
Scanned
1 file, 29 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The speakeasy-context skill enhances AI agent interactions by providing access to and utilizing contextual information. It allows agents to leverage external data sources, improving response accuracy and relevance. This skill is designed specifically for use with the Speakeasy API platform.

When to use it

  • Personalized Recommendations: Provide product or service recommendations based on a user's past interactions and preferences stored in an external database.
  • Dynamic Content Generation: Populate responses with real-time data, such as current weather conditions or stock prices.
  • Knowledge Base Integration: Allow agents to answer questions by retrieving information from a company’s internal knowledge base.
  • Order Status Updates: Provide users with the latest status of their orders by querying an order management system.

Key capabilities

  • Integration with Speakeasy API platform
  • Access to external data sources
  • Contextual response generation
  • Real-time data retrieval

Example prompts

  • "What's my current account balance?"
  • "Show me the latest news about Tesla."
  • "What are some good Italian restaurants near me, based on my previous reviews?"

Tips & gotchas

  • Requires a configured Speakeasy API environment to function correctly.
  • The accuracy of responses is dependent on the quality and availability of external data sources.