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Prompt Analysis

Checked
git-ai-project·vlatest·ai-ml·Apache-2.0

Analyzes user prompts to identify intent, constraints, and desired output format for improved AI response generation.

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 git-ai-project/git-ai --skill prompt-analysis -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

git-ai-project

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 git-ai-project/git-ai at 0670e7ef27.

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

Commit
0670e7ef27
Manifest
skills/prompt-analysis/SKILL.md
Scanned
1 file, 522 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 prompt-analysis skill enables AI agents to inspect, evaluate, and optimize natural language instructions before execution. It helps ensure that complex queries are structured correctly and align with the agent's operational capabilities.

When to use it

  • Refining vague user requests into clear, actionable commands for better accuracy.
  • Debugging why an AI agent failed to execute a specific task based on its input.
  • Optimizing prompt length and clarity to reduce token usage and latency.
  • Validating that sensitive instructions do not violate safety guidelines before processing.

Key capabilities

  • Syntax Validation: Checks for grammatical errors or ambiguous phrasing in prompts.
  • Intent Recognition: Identifies the core goal behind a user's natural language request.
  • Context Analysis: Evaluates if necessary background information is included in the prompt.
  • Optimization Suggestions: Provides rewritten versions of prompts for improved performance.

Example prompts

  • "Analyze this prompt for clarity and suggest improvements: 'Make it better.'"
  • "Why did my request to generate a report fail? Analyze the input I sent."
  • "Break down the intent and required steps in this complex instruction before I run it."

Tips & gotchas

Ensure you provide the full original prompt text for accurate analysis, as context is critical. This skill is most effective when used iteratively to refine prompts over multiple turns rather than as a one-time fix.