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Agent skill

Code Execution

by mhattingpete in mhattingpete/claude-skills-marketplace

Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations.

Apache-2.0Auto-check passedDevelopment

Install Code Execution

skills CLI
$ npx skills add mhattingpete/claude-skills-marketplace --skill code-execution -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mhattingpete/claude-skills-marketplace code-execution --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mhattingpete/claude-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/code-operations-plugin/skills/code-execution .claude/skills/code-execution && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
code-execution
GitHub stars
680
Token cost
~796 tokens
SKILL.md length
166 words
Files
4
Skills in repo
16
Repo updated
First seen
Licence
Apache-2.0

At a glance

Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations.

  • Works in 3 steps: Analyze locally (metadata only, not… → Process locally (all operations in… → Return summary (not data!)
  • Requests bulk operations (10+ files)
  • SKILL.md covers When to Use, How to Use, Available APIs and Pattern, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Code Execution is an agent skill from mhattingpete/claude-skills-marketplace. Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `examples/bulk_refactor.py`, `examples/codebase_audit.py` and `examples/extract_functions.py`).

It sits in Development. It works with Python and Git. The repository describes itself as: Claude Code Skills for software engineering workflows - Git automation, testing, and code review. The licence is Apache-2.0.

When your agent uses it

  • Requests bulk operations (10+ files)
  • Complex multi-step workflows
  • Iterative processing
  • Mentions efficiency/performance

Example prompts

  • “/code-execution”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Analyze locally (metadata only, not source)
  2. Process locally (all operations in execution)
  3. Return summary (not data!)

What it can do on your machine

Read from SKILL.md and the folder at commit b5b34bc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Code Execution loads about 796 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 166 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~796

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mhattingpete/claude-skills-marketplace at commit b5b34bc, republished under its Apache-2.0 licence (© mhattingpete). 166 words, ~796 tokens.

Download SKILL.mdSave it as .claude/skills/code-execution/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
code-execution
description
Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.

Code Execution

Execute Python locally with API access. 90-99% token savings for bulk operations.

When to Use

  • Bulk operations (10+ files)
  • Complex multi-step workflows
  • Iterative processing across many files
  • User mentions efficiency/performance

How to Use

Use direct Python imports in Claude Code:

python
from execution_runtime import fs, code, transform, git

# Code analysis (metadata only!)
functions = code.find_functions('app.py', pattern='handle_.*')

# File operations
code_block = fs.copy_lines('source.py', 10, 20)
fs.paste_code('target.py', 50, code_block)

# Bulk transformations
result = transform.rename_identifier('.', 'oldName', 'newName', '**/*.py')

# Git operations
git.git_add(['.'])
git.git_commit('feat: refactor code')

If not installed: Run ~/.claude/plugins/marketplaces/mhattingpete-claude-skills/execution-runtime/setup.sh

Available APIs

  • Filesystem (fs): copy_lines, paste_code, search_replace, batch_copy
  • Code Analysis (code): find_functions, find_classes, analyze_dependencies - returns METADATA only!
  • Transformations (transform): rename_identifier, remove_debug_statements, batch_refactor
  • Git (git): git_status, git_add, git_commit, git_push

Pattern

  1. Analyze locally (metadata only, not source)
  2. Process locally (all operations in execution)
  3. Return summary (not data!)

Examples

Bulk refactor (50 files):

python
from execution_runtime import transform
result = transform.rename_identifier('.', 'oldName', 'newName', '**/*.py')
# Returns: {'files_modified': 50, 'total_replacements': 247}

Extract functions:

python
from execution_runtime import code, fs

functions = code.find_functions('app.py', pattern='.*_util$')  # Metadata only!
for func in functions:
    code_block = fs.copy_lines('app.py', func['start_line'], func['end_line'])
    fs.paste_code('utils.py', -1, code_block)

result = {'functions_moved': len(functions)}

Code audit (100 files):

python
from execution_runtime import code
from pathlib import Path

files = list(Path('.').glob('**/*.py'))
issues = []

for file in files:
    deps = code.analyze_dependencies(str(file))  # Metadata only!
    if deps.get('complexity', 0) > 15:
        issues.append({'file': str(file), 'complexity': deps['complexity']})

result = {'files_audited': len(files), 'high_complexity': len(issues)}

Best Practices

✅ Return summaries, not data ✅ Use code_analysis (returns metadata, not source) ✅ Batch operations ✅ Handle errors, return error count

❌ Don't return all code to context ❌ Don't read full source when you need metadata ❌ Don't process files one by one

Token Savings

FilesTraditionalExecutionSavings
105K tokens50090%
5025K tokens60097.6%
100150K tokens1K99.3%

© mhattingpete, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in code-operations-plugin/skills/code-execution of mhattingpete/claude-skills-marketplace.

  • SKILL.md
  • examples/bulk_refactor.py
  • examples/codebase_audit.py
  • examples/extract_functions.py

Open the folder on GitHubat commit b5b34bc

Compare with similar skills

Code Execution next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Code Execution compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Execution this skillmhattingpete/claude-skills-marketplace680—~796Automated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Skyvern Version BumpSkyvern-AI/skyvern23k—~1kAutomated safety check: NotesAGPL-3.0
Saleor Commit Workflowsaleor/saleor23k—~575Automated safety check: PassBSD-3-Clause
Commitizencommitizen-tools/commitizen3.5k—~839Automated safety check: PassMIT
pybind11 Release Preparationpybind/pybind1118k—~1.7kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Code Execution

What does Code Execution do?

Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Code Execution is an agent skill from mhattingpete/claude-skills-marketplace. Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations.

When should I use Code Execution?

Code Execution fits situations like: requests bulk operations (10+ files); complex multi-step workflows; iterative processing; mentions efficiency/performance.

How do I install Code Execution in Claude Code?

Run `npx skills add mhattingpete/claude-skills-marketplace --skill code-execution -a claude-code`. Or copy the skill folder (code-operations-plugin/skills/code-execution in mhattingpete/claude-skills-marketplace) into .claude/skills/code-execution in your project. Claude Code loads it when a task matches its description.

How do I install Code Execution in Codex?

Run `npx skills add mhattingpete/claude-skills-marketplace --skill code-execution -a codex`. Or copy the skill folder (code-operations-plugin/skills/code-execution in mhattingpete/claude-skills-marketplace) into .agents/skills/code-execution in your project. Codex loads it when a task matches its description.

Can I use Code Execution in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mhattingpete/claude-skills-marketplace --skill code-execution -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-execution, .gemini/skills/code-execution, .github/skills/code-execution and .opencode/skills/code-execution in your project.

What does Code Execution need to run?

Going by SKILL.md and its folder, Code Execution needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Code Execution access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Code Execution safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Code Execution use?

Code Execution is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Execution use?

About 796 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Code Execution?

Skills that share tags, products or a category with Code Execution: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Skyvern Version Bump (Skyvern-AI/skyvern, 23k stars), Saleor Commit Workflow (saleor/saleor, 23k stars) and Commitizen (commitizen-tools/commitizen, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Execution?

mhattingpete (a GitHub user) maintains it in mhattingpete/claude-skills-marketplace, which has 680 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on July 25, 2026.

Source: mhattingpete/claude-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.