Write and execute a throwaway multi-line program (python, javascript/node, or bash) and capture its output. Use this instead of bash when you need real logic — loops, parsing, math, data transforms, calling a library — rather than a single shell command. The agent authors a small program on the fly and runs it as a first-class action.
Scanned 9/23/2026
Install to Claude Code
npx -y skills add tashfeenahmed/scallopbot --skill run_code --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: run_code
description: "Write and execute a throwaway multi-line program (python, javascript/node, or bash) and capture its output. Use this instead of bash when you need real logic — loops, parsing, math, data transforms, calling a library — rather than a single shell command. The agent authors a small program on the fly and runs it as a first-class action."
user-invocable: false
triggers: [code, script, compute, calculate, parse, transform, program]
inputSchema:
type: object
properties:
language:
type: string
enum: [python, javascript, bash]
description: "Language to run the code in. 'python' uses python3, 'javascript' uses node, 'bash' uses bash."
code:
type: string
description: "The full source of the program to execute. Multi-line is fine. Print results to stdout."
timeout:
type: number
description: "Timeout in milliseconds (default: 60000, max: 120000)."
required: [language, code]
scripts:
run: "scripts/run.ts"
metadata:
openclaw:
emoji: "\U0001F9EE"
safety:
localWrite: true
requires:
bins: [node]
---
# Run Code Skill
Author a small program and run it. This is the "code-execution-as-action"
primitive: rather than being limited to a fixed catalog of tools, the agent can
write a throwaway script to do exactly what a task needs and execute it.
## When to Use
Reach for `run_code` over `bash` when the task is really a small *program*:
- **Data transforms**: parse JSON/CSV, reshape, aggregate, filter
- **Math / computation**: anything beyond a one-liner
- **Using a library**: call a python or node module to do the heavy lifting
- **Generating a tool on the fly**: write the logic once, run it, read the result
For a single shell command (`ls`, `git status`, `npm install`), use `bash`.
## Input
```json
{
"language": "python",
"code": "import json\nprint(json.dumps({'sum': sum(range(10))}))",
"timeout": 60000
}
```
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `language` | string | Yes | - | `python`, `javascript`, or `bash` |
| `code` | string | Yes | - | Full program source; print results to stdout |
| `timeout` | number | No | 60000 | Timeout in ms (max 120000) |
## Output
```json
{
"success": true,
"output": "{\"sum\": 45}\n",
"error": "",
"exitCode": 0,
"language": "python"
}
```
| Field | Type | Description |
|-------|------|-------------|
| `success` | boolean | True if the program exited 0 |
| `output` | string | Captured stdout |
| `error` | string | Captured stderr (or error message) |
| `exitCode` | number | Process exit code |
## Notes
- The program runs in the workspace directory; temp source files are written to
the OS temp dir and cleaned up after execution.
- `python` requires `python3` on PATH; if it's missing, the result explains how
to install it. `javascript` runs under `node`. `bash` runs under `bash`.
- Output is captured up to 1 MB; long-running programs are killed at the timeout.
- This is not a security sandbox — the same trust model as the `bash` skill.
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