Abstract Trimmer
Security checks across static analysis, malware telemetry, and agentic risk
Overview
This appears to be a straightforward local abstract-trimming tool, with the main caution that its documentation overstates some path and sandbox protections.
This skill looks safe for trimming local abstract text. Before installing or using it, understand that it can read and write whatever local paths you provide, and do not rely on the documentation's claims of sandboxing or workspace-only output.
Static analysis
No static analysis findings were reported for this release.
VirusTotal
VirusTotal findings are pending for this skill version.
Risk analysis
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If invoked with the wrong path, it could read an unintended file or overwrite a user-chosen output file.
The script reads and writes user-supplied local file paths. This is expected for processing abstract files, but the paths are not constrained in code.
with open(args.input, 'r', encoding='utf-8') as f: ... with open(args.output, 'w', encoding='utf-8') as f:
Use it only with intended abstract files and choose an explicit, safe output path.
A user may overestimate the protections around file paths and execution environment.
These safety claims are stronger than what the included script shows; the code directly opens user-provided paths and does not implement a sandbox.
- [x] Input file paths validated - [x] Output directory restricted to workspace - [x] Script execution in sandboxed environment
Treat this as a normal local Python script, not as a sandboxed or workspace-restricted tool.
The install instructions may be confusing, and an unreviewed requirements file should not be assumed safe if introduced later.
The setup documentation is inconsistent: it references a requirements file, while the manifest does not include one and the code appears standard-library-only.
pip install -r requirements.txt ... No external dependencies required (uses only Python standard library).
Do not install extra dependencies unless a reviewed requirements file is supplied; the included script appears runnable with Python alone.