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Code Executor Pack

★Trusted◇Sandbox optionalv1.0.0MIT✔Verified76

by AgentNode · published 6 months ago · toolpack

Execute Python code in a secure sandboxed environment.

Provides safe code execution with timeout, memory limits, and output capture.

langchaincrewaigeneric

Quick Start

bash
agentnode install code-executor-pack

Runs in a subprocess with filtered environment by default. Declared permissions are policy-checked, not sandboxed.

Usage

From package
python
from code_executor_pack.tool import run

result = run(
    capability="execute_code",
    params={
        "code": """
import statistics

sales = [1200, 1850, 2100, 1675, 2300, 1950, 2450, 2100, 1800, 2600, 2150, 2800]
months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']

mean_sales = statistics.mean(sales)
median_sales = statistics.median(sales)
std_dev = statistics.stdev(sales)
best_month = months[sales.index(max(sales))]

print(f"Annual Sales Summary")
print(f"  Mean:   ${mean_sales:,.0f}")
print(f"  Median: ${median_sales:,.0f}")
print(f"  Std Dev: ${std_dev:,.0f}")
print(f"  Best Month: {best_month} (${max(sales):,})")
""",
        "timeout_seconds": 10
    }
)

print(f"Exit code: {result['exit_code']}")
print(f"Output:\n{result['stdout']}")

Runs locally on your machine. No execution data is sent to AgentNode. Permissions are checked before execution. Learn how this works

Verification

high confidence76/100✔ Verified
smokeReturned valid result
+25/25
testsTests failed
0/15
importAll tools imported successfully
+15/15
installInstalled in 1.4s
+15/15
contractAll contract checks passed
+10/10
determinismPartial output consistency (1/5)
+1/5
reliability3/3 runs passed
+10/10

Package installs and imports correctly. runtime checks passed.

✔install1.4s
✔import81ms
✔smoke156ms
✖tests1.2s

This package was executed and validated by AgentNode before listing. Install, import, and runtime checks passed.

Verified in real_auto mode

Python 3.12.3ffmpegpopplertesseractuv

Last verified 16d ago· Runner v2.0.0

Use this when you need to...

  • ›Run Python data analysis scripts on the fly
  • ›Execute code snippets to validate logic
  • ›Test regular expressions against sample inputs
  • ›Run mathematical computations and simulations
  • ›Prototype algorithms before committing to a codebase

README

Version History

v1.0.0latestverified
3/16/2026

Capabilities

code_executionexecute_codetool

Permissions

◇Sandbox optionalFrom a trusted publisher — runs on the host by default. You can require isolation with sandbox.host_trust_policy.

Declared by the publisher. Checked before execution by the policy gate.

Networknone
Filesystemtemp
Code Executionlimited_subprocess
Data Accessinput_only
User Approvalalways

Permissions are policy-checked before execution. For trusted and curated packages that run on the host, network and filesystem access are policy-checked but not OS-sandboxed. When runtime isolation is required for untrusted/community code, AgentNode uses sandbox-or-fail-closed if the required container runtime and pinned image are available. Learn more

Privacy

All tool execution happens locally on your machine. AgentNode never receives:

  • • Tool inputs or outputs
  • • Execution logs
  • • Data your agent processes

Only install events and search queries are sent to the registry.

bash
agentnode install code-executor-pack

Files (3)

License

MIT

Stats

Downloads0
Installs0
Versionv1.0.0
Published3/16/2026
Channelstable
Typetoolpack
Entrypointcode_executor_pack.tool

Compatibility

Frameworks

langchaincrewaigeneric

Runtime

python

Python Version

>=3.10

Trust & Security

Publisher★Trusted
SignatureNone
ProvenanceNone
Security Issues0

Publisher

A

AgentNode

@agentnode

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