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Speckit Analyze

Checked
dceoy·vlatest·data·AGPL-3.0

Analyzes complex data sets to identify hidden patterns, anomalies, and actionable insights using advanced statistical modeling.

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 dceoy/speckit-agent-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

dceoy

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 dceoy/spec-kit-agent-skills at 52e6e7d8e0.

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

Commit
52e6e7d8e0
Manifest
skills/speckit-analyze/SKILL.md
Scanned
2 files, 521 lines
Copies in repo
2 — all of them scanned
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 dceoy-speckit-analyze skill allows AI agents to analyze scientific data and extract key information. It can process data from various sources, including files and URLs, and provide summaries of findings. The skill is designed for researchers and anyone working with complex datasets needing quick insights.

When to use it

  • Analyzing experimental results: Quickly understand the trends and anomalies in a newly generated dataset.
  • Literature review: Summarize key data points from research papers or online reports.
  • Data validation: Check if a dataset contains expected values or patterns.
  • Report generation: Automatically extract relevant information for inclusion in scientific reports.

Key capabilities

  • Data ingestion from files and URLs
  • Scientific data analysis
  • Information extraction
  • Summarization of findings

Example prompts

  • "Analyze the data at [URL] and tell me the average value of column X."
  • "Can you summarize the key findings in this file: [file path]?"
  • "What are the outliers in this dataset? [file path]"

Tips & gotchas

The skill requires a basic understanding of scientific data formats. Providing clear instructions and specifying the desired output format will improve accuracy.