Agent skill

valgrind-summarizer

Summarize Valgrind Memcheck reports into concise Markdown. Use when the user uploads or references a Valgrind log file (.txt, .log, .valgrind) and wants a summary, analysis, or overview of memory leaks and errors. Triggers on mentions of "valgrind", "memcheck", "leak check", "memory leak report", or when the uploaded file contains Valgrind Memcheck output (identifiable by "==PID==" prefixed lines, "HEAP SUMMARY", "LEAK SUMMARY").

Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/valgrind-report

SKILL.md

Valgrind Report Summarizer

Produce a minimal-token Markdown summary of Valgrind Memcheck reports by running the bundled parser script.

Workflow

  1. Identify the valgrind log file (uploaded or at a given path).
    • If no log file exists yet and the user wants to run Valgrind, build with debug symbols first:
      bash
      cd python && MSCOMPRESS_DEBUG=1 uv sync --all-extras --reinstall
      
      Then run Valgrind:
      bash
      cd python && valgrind --tool=memcheck --leak-check=full --log-file=leak-check.txt $(uv run which python) -m pytest
      
  2. Run the parser:
    bash
    python3 /path/to/this/skill/scripts/parse_valgrind.py <input_file> <output.md>
    
  3. Deliver the resulting .md file to the user.

What the Script Produces

  • Heap Overview — exit usage, total allocated, alloc/free delta
  • Leak Summary — table with definitely/indirectly/possibly lost, still reachable, suppressed (with severity icons)
  • Top 15 Leak Sources — grouped & deduplicated by call stack, sorted by bytes, showing only user-code frames (runtime/valgrind internals stripped)

Notes

  • The parser strips ==PID== / --PID-- prefixes automatically.
  • Stack frames from valgrind preload, libpython, CPython eval loop, pthread, and clone are filtered out to surface only the user's own code.
  • Duplicate stacks (same top-4 frames) are merged with a ×N count.
  • Byte values are human-readable (KB/MB/GB).
  • If the user wants deeper analysis or remediation advice beyond the summary, read the generated markdown and provide commentary.

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