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Skill

Code Coverage with gcov

Add gcov code coverage instrumentation to C/C++ projects

Type
Skill
Repository
gadievron/raptor
GitHub stars
3.8k
License
Not declared
Repo last updated
Sep 27, 2026
Source file
README.md

What Code Coverage with gcov is

Code Coverage with gcov is a skill published in the gadievron/raptor repository on GitHub, which has about 3.8k stars. The repository describes itself as: “Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configure the agent for adversarial thinking, and perform research or attack/defense operations.”

A skill is a folder with a SKILL.md file: frontmatter with a name and a description, followed by instructions Claude follows. Claude loads a skill automatically when a task matches its description, and you can also run it directly with a slash and its name.

Skills work in Claude Code and in Claude Cowork, which makes Code Coverage with gcov a portable way to give Claude the same method everywhere.

How to install Code Coverage with gcov

Claude Code

  1. Download the code-coverage-with-gcov folder from the repository.
  2. Save it as ~/.claude/skills/<skill-name>/SKILL.md for all projects, or .claude/skills/<skill-name>/SKILL.md for one project.
  3. Claude loads it automatically when a task matches; you can also run it with / and its name.

Claude Cowork

  1. Zip the skill folder so SKILL.md sits at the top level of the folder.
  2. Open Customize → Skills, click +, then upload the ZIP.
  3. Start a task that matches the description, or call it by name with /.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

The repository does not declare an open-source license, so we list only the outline of the file here. Read the full text on GitHub.

  • What is RAPTOR?
  • How it's built
  • Prerequisites
  • Quick Start
  • Option 1: Install manually
  • Option 2: Run in a container (recommended)
  • What to expect on a first run
  • Security model
  • What RAPTOR can do
  • How the pipeline works
  • Software Composition Analysis
  • Z3 SMT integration
  • Running offline and in air-gapped pipelines
  • Custom rules

Open README.md on GitHub

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Code Coverage with gcov?

Code Coverage with gcov is a skill for Claude Code and Claude Cowork from the gadievron/raptor repository on GitHub. Add gcov code coverage instrumentation to C/C++ projects

How do I install Code Coverage with gcov in Claude Code?

Download the code-coverage-with-gcov folder from the repository. Save it as ~/.claude/skills/<skill-name>/SKILL.md for all projects, or .claude/skills/<skill-name>/SKILL.md for one project. Claude loads it automatically when a task matches; you can also run it with / and its name.

Can I use Code Coverage with gcov in Claude Cowork?

Zip the skill folder so SKILL.md sits at the top level of the folder. Open Customize → Skills, click +, then upload the ZIP. Start a task that matches the description, or call it by name with /.

Is Code Coverage with gcov safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. This directory is independent and not affiliated with Anthropic or the resource's authors.