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Line Execution Checker

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gadievron
Line Execution Checker

Check if specific lines were executed using gcov data

Overview

Publishergadievron
Repositoryraptor
Skill nameLine Execution Checker
Stars
3.9K
Forks
581
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gadievron on GitHub. Read the source before you install it.

Installation

Install the Line Execution Checker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gadievron/raptor/tree/main/.claude/skills/crash-analysis/line-execution-checker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gadievron/raptor.git /tmp/raptor
mkdir -p .claude/skills
cp -r /tmp/raptor/.claude/skills/crash-analysis/line-execution-checker .claude/skills/gadievron-line-execution-checker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Line Execution Checker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Line Execution Checker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Line Execution Checker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Line Execution Checker

Purpose

Fast tool to check if specific source lines were executed during test runs.

Tool: line-checker

Build

Always build fresh from this skill's line_checker.cpp, into a scratch directory YOU create — never into (or from) the coverage/build directory. That directory is written by the instrumented target's own build and run, so any pre-existing line-checker found there could have been planted by the analysed program to forge coverage verdicts; never execute one.

bash
CHECKER_DIR=$(mktemp -d)
g++ -O3 -std=c++17 line_checker.cpp -o "$CHECKER_DIR/line-checker"

Usage

bash
# Single line (from the coverage data directory)
"$CHECKER_DIR/line-checker" file.c:42

# Multiple lines
"$CHECKER_DIR/line-checker" file.c:42 main.c:100 util.c:55

Output

file.c:42 EXECUTED (5 times)
main.c:100 NOT EXECUTED
util.c:55 EXECUTED (12 times)

Exit Codes

  • 0: All lines executed
  • 1: One or more lines NOT executed
  • 2: Error

Prerequisites

Coverage data must exist from prior test run with --coverage flag.

When User Asks

"Was line X of file.c executed?" or "Check if these lines were covered"

Steps

  1. Verify .gcda files exist: find . -name "*.gcda" -print -quit
  2. Build the tool fresh into a scratch dir (see Build above — never reuse a line-checker binary found in the coverage/build tree): CHECKER_DIR=$(mktemp -d) && g++ -O3 -std=c++17 line_checker.cpp -o "$CHECKER_DIR/line-checker"
  3. Run: "$CHECKER_DIR/line-checker" file.c:X
  4. Report result to user

Example Interaction

User: "Was line 127 in parser.c executed?"

bash
"$CHECKER_DIR/line-checker" parser.c:127
# Output: parser.c:127 EXECUTED (3 times)

Response: "Yes, line 127 was executed 3 times during testing."

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Line Execution Checker AI skill do?

Check if specific lines were executed using gcov data

Why use Line Execution Checker on TypingMind?

Because you install it once and use it with any model. Line Execution Checker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Line Execution Checker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gadievron/raptor/tree/main/.claude/skills/crash-analysis/line-execution-checker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Line Execution Checker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Line Execution Checker?

As many as you like. As long as a model supports skills, you can use Line Execution Checker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Line Execution Checker AI skill free?

It is published on GitHub by gadievron. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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