스킬 python-executor

📦

python-executor

Name: python-executor
Author: inference-sh

중간 위험 ⚙️ 외부 명령어🌐 네트워크 접근

Run Python tasks in a secure sandbox

또한 다음에서 사용할 수 있습니다: qu-skills,skillssh,inference-sh-skills,inferen-sh,infsh-skills,inference-sh-9,inference-skills

Running Python safely across data, web, and media tasks is difficult when environments differ. This skill runs code in a managed sandbox with common libraries and file outputs.

지원: Claude Codex Code(CC)

⚠️ 60 나쁨

스킬 ZIP 다운로드

Claude에서 업로드

설정 → 기능 → 스킬 → 스킬 업로드로 이동

토글을 켜고 사용 시작

테스트해 보기

"python-executor" 사용 중입니다. User asks for a bar chart from a two column sales table.

예상 결과:

Returns a confirmation message and an image file named outputs/chart.png.

"python-executor" 사용 중입니다. User requests a quick scrape of a public page title.

예상 결과:

Responds with the extracted title and a short log of the request.

"python-executor" 사용 중입니다. User wants a CSV summary from a small dataset.

예상 결과:

Provides a summary line and a file named outputs/summary.csv.

보안 감사

중간 위험

v1 • 2/5/2026

Documentation includes shell command examples for installing and running the CLI, including a pipe to shell installer. These are instructional and not executed by the skill itself, but they warrant caution. Network and crypto related flags appear to be documentation references without malicious intent.

스캔된 파일

187

분석된 줄 수

발견 사항

총 감사 수

중간 위험 문제 (1)

SKILL.md:21

Pipe to shell installer command in documentation

The quick start shows a curl command piped to sh for installing the CLI. This pattern is risky because it executes downloaded content without verification. It is documentation only and not executed by the skill.

낮은 위험 문제 (4)

SKILL.md:20-149

Shell command usage examples for the CLI

The documentation includes multiple bash examples that invoke the infsh CLI. These commands are expected for a CLI driven skill and do not indicate hidden execution.

SKILL.md:84-85 SKILL.md:125 SKILL.md:184-186

Network request examples in documentation

Examples show HTTP requests and external URLs for scraping and API calls. This is consistent with the stated use cases and does not show data exfiltration.

SKILL.md:3-4

False positive: weak cryptographic algorithm

The flagged location is part of the description text and does not contain cryptographic code. No weak cryptography usage is present in the file.

SKILL.md:165

False positive: network reconnaissance

The flagged line is a note about safe execution and does not reference reconnaissance behavior. No recon logic is present in the documentation.

위험 요인

⚙️ 외부 명령어 (56)

SKILL.md:20-27 SKILL.md:27-33 SKILL.md:33-40 SKILL.md:40-47 SKILL.md:47-52 SKILL.md:52 SKILL.md:52 SKILL.md:52-53 SKILL.md:53 SKILL.md:53-54 SKILL.md:54 SKILL.md:54-55 SKILL.md:55-58 SKILL.md:58 SKILL.md:58 SKILL.md:58-59 SKILL.md:59 SKILL.md:59 SKILL.md:59-62 SKILL.md:62 SKILL.md:62-63 SKILL.md:63 SKILL.md:63-66 SKILL.md:66-67 SKILL.md:67 SKILL.md:67-68 SKILL.md:68-71 SKILL.md:71 SKILL.md:71-72 SKILL.md:72 SKILL.md:72 SKILL.md:72-75 SKILL.md:75 SKILL.md:75-76 SKILL.md:76 SKILL.md:76-82 SKILL.md:82-86 SKILL.md:86-90 SKILL.md:90-94 SKILL.md:94-98 SKILL.md:98-102 SKILL.md:102-106 SKILL.md:106-111 SKILL.md:111-115 SKILL.md:115-119 SKILL.md:119-123 SKILL.md:123-127 SKILL.md:127-131 SKILL.md:131-133 SKILL.md:133-139 SKILL.md:139-143 SKILL.md:143-149 SKILL.md:149-166 SKILL.md:166 SKILL.md:166-171 SKILL.md:171-180

🌐 네트워크 접근 (9)

SKILL.md:84 SKILL.md:125 SKILL.md:4 SKILL.md:21 SKILL.md:84 SKILL.md:125 SKILL.md:184 SKILL.md:185 SKILL.md:186

감지된 패턴

Pipe to shell installation pattern

감사자: codex

품질 점수

아키텍처

100

유지보수성

콘텐츠

커뮤니티

보안

사양 준수

만들 수 있는 것

Analyze small datasets

Create tables and charts and return files for review.

Validate scraping logic

Fetch a page and extract specific fields for a report.

Generate demo assets

Produce images or short clips for product demos.

이 프롬프트를 사용해 보세요

Run a simple check

Execute Python to print the pandas version and return stdout only.

Scrape a page title

Fetch https://example.com and return the page title as plain text.

Create a chart file

Build a small bar chart from sample data and save it to outputs/chart.png.

Process a large dataset

Use the high_memory variant, read a CSV, summarize key metrics, and save outputs/summary.csv.

모범 사례

Describe inputs, outputs, and file names explicitly.
Write artifacts to outputs/ so they are returned automatically.
Keep network requests limited to trusted domains.

피하기

Requesting interactive plots or GUI output.
Running jobs that exceed the timeout window.
Asking to install new system packages inside the sandbox.

자주 묻는 질문

What Python version does the app use?

The app runs Python 3.10 in a sandboxed environment.

Can it access the internet?

Yes, the examples show HTTP requests using Python libraries.

How do I return files?

Save files to the outputs/ directory and they will be returned.

Is there a high memory option?

Yes, use the high_memory variant for larger workloads.

Can it run long interactive sessions?

No, execution is non interactive and limited by the timeout setting.

Which libraries are available?

The documentation lists many preinstalled libraries for data, web, and media tasks.

개발자 세부 정보

작성자

inference-sh

라이선스

MIT

리포지토리

https://github.com/inference-sh/skills/tree/main/skills/python-executor/

참조

main

파일 구조

📄 SKILL.md