Skip to content
TrustedSkillsbeta
Back to all skills

Request Analyzer

Checked
smallnest·vlatest·other·MIT

Analyzes incoming requests to extract key information & intent, boosting automation and streamlining workflows by understanding user needs.

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 smallnest/langgraphgo --skill request-analyzer -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

smallnest

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 smallnest/langgraphgo at 8babee09de.

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

Commit
8babee09de
Manifest
testdata/skills/request-analyzer/SKILL.md
Scanned
2 files, 814 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 request-analyzer skill analyzes incoming requests to determine their intent and extract relevant information. It helps AI agents understand user input more effectively by parsing complex queries and identifying key parameters. This allows for more accurate responses and task execution based on the request's underlying meaning.

When to use it

  • Complex Queries: Use when a user’s prompt is lengthy or contains multiple requests within a single message.
  • Parameter Extraction: When you need to identify specific values from a user’s input, such as dates, locations, or product names.
  • Intent Classification: When you want the agent to understand what the user wants to achieve (e.g., book a flight vs. check weather).
  • Data Validation: To ensure that extracted data conforms to expected formats and constraints before proceeding with an action.

Key capabilities

  • Request parsing
  • Intent identification
  • Parameter extraction
  • Data validation

Example prompts

  • "Analyze this user request: 'Book a flight from London to New York on July 15th, returning on the 22nd.'"
  • "What is the intent and parameters in this message? 'Find me Italian restaurants near downtown Chicago with outdoor seating.'"
  • "Extract all dates and locations from this text."

Tips & gotchas

The skill's effectiveness depends heavily on the clarity and structure of the user’s request. Ambiguous or poorly worded prompts may lead to inaccurate analysis.