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SKILL verified MIT Self-run

Code Execution

skill-frontier-ai-next-mgarlbot-code-execution · by frontier-ai-next

Run Python code, scripts, calculations, and data processing

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Install

$ agentstack add skill-frontier-ai-next-mgarlbot-code-execution

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Code execution

Use the code interpreter (sandboxed Python).

Simple math

result = 2 ** 10
print(f"2^10 = {result}")

Data handling

import json
data = {"name": "test", "values": [1, 2, 3]}
print(json.dumps(data, indent=2))

Commonly allowed modules (safe mode)

  • math, statistics
  • json
  • re
  • datetime
  • collections
  • itertools, functools
  • random

Rules

  1. Use code_interpreter for math and in-sandbox data work.
  2. Use shell for filesystem operations on the host.
  3. Imports are restricted — only allowed modules work.
  4. Always print() results; otherwise output may be empty.
  5. Prefer one coherent code block for multi-step logic.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.