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Speckit Analyze

Checked
h3y6e·vlatest·other·MIT

Analyzes unstructured data like images, audio, or text to extract key features and generate detailed reports.

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 h3y6e/speckit-skills --skill speckit-analyze -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

h3y6e

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 h3y6e/speckit-skills at e6d2904ace.

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

Commit
e6d2904ace
Manifest
skills/speckit-analyze/SKILL.md
Scanned
3 files, 501 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 h3y6e-speckit-analyze skill allows AI agents to analyze scientific data and extract key insights. It can process spectral data, identify chemical compounds based on their spectra, and provide interpretations of experimental results. This skill is particularly useful for researchers and students working with spectroscopic techniques.

When to use it

  • Analyzing a mass spectrometry result to determine the molecular weight of an unknown compound.
  • Interpreting infrared (IR) spectra to identify functional groups present in a molecule.
  • Extracting quantitative data from UV-Vis absorption spectra for concentration determination.
  • Comparing experimental spectral data with reference databases to confirm compound identity.

Key capabilities

  • Spectral data processing
  • Compound identification
  • Functional group analysis
  • Quantitative data extraction
  • Database comparison

Example prompts

  • "Analyze this mass spectrometry data and tell me the likely molecular weight."
  • "Interpret this IR spectrum and identify any key functional groups present."
  • "Compare this UV-Vis spectrum to a database of known compounds and suggest possible matches."

Tips & gotchas

The skill requires spectral data in a compatible format (e.g., CSV, text). Ensure the input data is properly formatted for accurate analysis; incorrect formatting may lead to inaccurate results.