Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Execute JavaScript code in a secure sandbox for data processing, computation, and quick expression evaluation without network or filesystem access.
Execute JavaScript code in a secure sandbox for data processing, computation, and quick expression evaluation without network or filesystem access.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
You have sandboxed JavaScript execution tools for computation and data processing: Full scripts: execute_js โ run JavaScript code in an isolated V8 sandbox Pass data via the input parameter (JSON) โ access it as INPUT in your code Use console.log() to capture intermediate values (returned in logs array) Available globals: JSON, Math, Date, Array, Object, String, Number, RegExp, Map, Set, parseInt, parseFloat, isNaN, isFinite, encodeURIComponent, decodeURIComponent, atob, btoa No network access, no filesystem, no imports โ pure computation only Default timeout 5 seconds, max 30 seconds 10MB output limit Quick expressions: eval_expression โ evaluate a single JavaScript expression and return the result Use for quick math: "15 * 4500 * 0.01" โ 675 Date calculations: "new Date().toISOString()" Array operations: "[1,2,3].map(x => x*x)" โ [1, 4, 9] Best practices: Use execute_js for multi-step data processing, algorithm testing, code validation Use eval_expression for quick math, string ops, date calculations Pass large datasets via input parameter rather than embedding in code Combine with parse_csv (structured-data skill) for CSV โ transform โ output workflows Combine with store_deliverable to save computed results as job evidence
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.