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Project Analyzer

Checked
grishaangelovgh·vlatest·other·MIT

Analyzes project data to identify potential risks and bottlenecks, streamlining decision-making for improved outcomes.

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 grishaangelovgh/gemini-cli-agent-skills --skill project-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

grishaangelovgh

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 grishaangelovgh/gemini-cli-agent-skills at 87bb6c9bff.

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

Scanned
2 files, 111 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 Project Analyzer skill helps you understand and summarize project information. It can extract key details from various sources, including text descriptions or structured data, to provide concise overviews of projects. This allows for quicker comprehension and more efficient decision-making regarding project selection or management.

When to use it

  • Analyzing a lengthy project proposal to quickly grasp its scope and objectives.
  • Summarizing multiple project documents (e.g., requirements, design specs) into a single overview.
  • Evaluating potential projects based on provided descriptions to determine feasibility.
  • Creating concise summaries of existing projects for stakeholder updates.

Key capabilities

  • Project summarization
  • Information extraction from text
  • Concise overview generation

Example prompts

  • "Summarize this project proposal: [paste project proposal text]"
  • "Extract the key objectives and deliverables from these documents: [list of document links/names]"
  • "Give me a concise overview of the 'Phoenix' project based on this description: [project description text]"

Tips & gotchas

The skill’s effectiveness depends heavily on the quality and clarity of the input provided. Ambiguous or poorly written descriptions will result in less accurate summaries.