Skip to content
TrustedSkillsbeta
Back to all skills

Vapi

Checked
gracebotly·vlatest·other

Vapi instantly generates creative prompts for various content types, boosting your writing flow and sparking fresh ideas.

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 gracebotly/flowetic-app --skill vapi -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

gracebotly

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 gracebotly/flowetic-app at c81cd43ebe.

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

Commit
c81cd43ebe
Manifest
workspace/skills/vapi/SKILL.md
Scanned
2 files, 203 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 Vapi skill enables AI agents to interact with a voice AI platform for building phone agents and connect them to Getflowetic for monitoring call performance, tracking costs, and analyzing conversation outcomes. It provides access to key metrics related to calls, assistants, and associated costs. The skill normalizes call data into a standard event schema, making it easier to analyze trends and identify areas for improvement in voice agent performance.

When to use it

  • Analyzing call volume trends over time.
  • Tracking the success rate of Vapi assistant interactions.
  • Monitoring per-call costs and identifying opportunities for optimization.
  • Comparing the performance of different assistants or workflows.
  • Investigating reasons why calls ended (e.g., hangup, error).

Key capabilities

  • Access to call data including transcript, status, duration, and cost.
  • Normalization of call data into a standard event schema.
  • Provides key metrics such as Call Volume, Success Rate, Avg Duration, and Cost per Call.
  • Supports dashboard creation with templates like voice-analytics, assistant-performance, and cost-tracker.
  • Mapping of legacy field names to canonical Vapi fields (e.g., "duration" maps to "duration_ms").

Example prompts

  • “Show me the call volume trend for the last week.”
  • “What is the average duration of calls handled by assistant 'SalesBot'?”
  • “How many calls resulted in a status of 'success'?"
  • "Display a cost tracker showing trends over time."

Tips & gotchas

  • The skill requires integration with Getflowetic for full functionality.
  • The platform field will always be "vapi" and can be skipped during analysis.
  • Be aware of the mapping heuristics; aliases like "duration," "status," and "cost" resolve to specific canonical fields.