python-debug-execution

python-debug-execution is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 17 tokens per session (585 once invoked), scanned A, original, MIT.

A debugging procedure for Python scripts that exposes complete errors and checks the working directory before file operations.

In plain words
What is it for?
Use it to diagnose Python execution errors and file-not-found problems.
Why use it?
It makes hidden tracebacks and incorrect file paths visible instead of leaving only an unclear command failure.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to diagnose Python execution errors and file-not-found problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/openspace/python-debug-execution
About the project

OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.

HKUDS/OpenSpace · 7,510 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add HKUDS/OpenSpace --skill python-debug-execution
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for python-debug-execution

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/python-debug-execution.svg)](https://agentmods.dev/skills/hkuds/openspace/python-debug-execution)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/python-debug-execution"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/python-debug-execution.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 585 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.00585
Opus 5 $0.00009 $0.00293
Sonnet 5 $0.00003 $0.00117
Haiku 4.5 $0.00002 $0.00059

Measured 3d ago against content hash d5a765d02c91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

python-debug-execution scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

benchmarks/gdpval/skills/python-debug-execution/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Debug Execution Pattern

When executing Python scripts that may fail, use this pattern to surface clear error information and diagnose issues effectively.

Core Technique

1. Execute with Full Error Output

Always run Python scripts with stderr redirected to stdout and echo the exit code:

python3 script.py 2>&1 ; echo Exit code: $?

Why this works:

  • 2>&1 captures both stdout and stderr, ensuring tracebacks are visible
  • echo Exit code: $? reveals the actual exit status for debugging
  • Avoids opaque "command failed" errors that hide the real cause

2. Verify Working Directory in Script

Before any file operations in Python scripts, add working directory verification:

import os

# At the start of your script or before file operations
print(f"Current working directory: {os.getcwd()}")

# For debugging, also list directory contents
print(f"Directory contents: {os.listdir('.')}")

Why this works:

  • File not found errors often stem from incorrect working directory assumptions
  • Makes path-related failures immediately diagnosable
  • Confirms the execution context matches expectations

Complete Debugging Workflow

Step 1: Add Diagnostic Code to Script

#!/usr/bin/env python3
import os
import sys

def main():
    # Diagnostic: verify execution context
    print(f"Working directory: {os.getcwd()}")
    print(f"Python version: {sys.version}")
    print(f"Directory listing: {os.listdir('.')}")
    
    # Your actual logic here
    # ...

if __name__ == "__main__":
    main()

Step 2: Execute with Full Error Capture

python3 script.py 2>&1 ; echo Exit code: $?

Step 3: Analyze Output

Look for:

  • Traceback messages (indicate code errors)
  • Exit code (0 = success, non-zero = failure)
  • Working directory confirmation
  • Missing file/directory errors

Common Failure Patterns

Symptom Likely Cause Debug Clue
FileNotFoundError Wrong working directory Check os.getcwd() output
ModuleNotFoundError Missing dependencies Traceback shows import path
PermissionError File access issues Traceback shows file path
Silent failure (exit 0, no output) Logic bug, not crash Add print statements

Read the full file on GitHub · 94 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 94 lines · 17 tokens per session scan A d5a765d02c91

Subscribe to this mod's changes

python-debug-execution is a skill published in the GitHub repository HKUDS/OpenSpace (7,510 stars, last pushed 25d ago), licensed MIT. It adds 17 tokens to every session and 585 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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