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Scientific Graphical Abstract Skill
by
JackKuo666
· GitHub ↗
· v0.1.2
538
Downloads
1
Stars
1
Active Installs
3
Versions
Install in OpenClaw
/install scientific-graphical-abstract-skill
Description
Generate editable, publication-quality SVG graphical abstracts for scientific papers using AI models with customizable charts, diagrams, and data-driven visu...
Usage Guidance
Key points to consider before installing:
- Verify the source repository and author (README points to a personal GitHub). Only install from a repo/account you trust.
- The README suggests running a remote installer (curl https://astral.sh/uv/install.sh | sh). Avoid piping unknown scripts to sh; review the script first or use an alternative installation method.
- The code will read ANTHROPIC_API_KEY / OPENAI_API_KEY / DEEPSEEK_API_KEY from your environment if present. The skill metadata did not declare required env vars — do not supply API keys unless you trust the code and repository. If you must provide keys, create least-privilege credentials and monitor usage.
- The included Python script appears to depend on listed requirements; consider running it in an isolated virtual environment or sandbox before granting any credentials.
- There is a minor code quality issue (math is used in several methods but not imported in the visible snippet) — this suggests limited review/testing; review the full code for other bugs or hidden network calls.
- If you want to proceed, review the full repository contents locally (search for network calls, external endpoints, and code that reads arbitrary files outside the skill folder), or ask the publisher to add clear requires.env metadata and an official install spec.
Capability Analysis
Type: OpenClaw Skill
Name: scientific-graphical-abstract-skill
Version: 0.1.2
The skill bundle is a legitimate tool for generating scientific graphical abstracts in SVG format. The core logic in `graphical_abstract_generator.py` uses standard Python libraries to construct SVG elements based on user prompts or data files. Although the script contains code to load API keys from environment variables, it does not utilize them or make any external network calls, and no evidence of malicious intent, data exfiltration, or prompt injection was found.
Capability Assessment
Purpose & Capability
The name/description (generate editable SVG graphical abstracts) aligns with the included code and examples. However, the README and SKILL.md advertise integrations with Anthropic/ OpenAI/DeepSeek APIs while the skill metadata declares no required environment variables — that's a mild mismatch (API use is optional in code, but metadata doesn't document these optional creds).
Instruction Scope
SKILL.md and README instruct the agent/user to load local CSV/JSON files and optionally use AI model APIs. That scope is appropriate for the feature set, but the runtime instructions assume availability of API keys and local files while metadata omits those env declarations. The README also suggests running external install steps and placing files under ~/.claude/skills, which will write to user disk; the instructions grant broad discretion to call external APIs if keys are provided.
Install Mechanism
The registry lists no install spec, but README suggests installation from a personal GitHub repo and provides a remote install pipeline: an npx clone URL and a curl | sh command to install 'uv' (https://astral.sh/uv/install.sh). Remote install scripts and cloning unverified repos increase risk; the skill lacks an official, vetted install spec in the registry.
Credentials
The code (Config._load_api_keys) reads ANTHROPIC_API_KEY, OPENAI_API_KEY, and DEEPSEEK_API_KEY from the environment and README documents these optional vars, but the skill metadata declares no required env vars. Requesting API keys for multiple providers is understandable for multimodel support, but the metadata omission is an inconsistency and increases the chance users provide credentials without clear justification. Provide keys only if you trust the code and owner.
Persistence & Privilege
The skill does not request always:true, does not declare system-wide config paths, and README describes installing into the user's skills directory (~/.claude/skills). Nothing in the package requests elevated or persistent privileges beyond normal installation.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install scientific-graphical-abstract-skill - After installation, invoke the skill by name or use
/scientific-graphical-abstract-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.2
Version 0.1.2 of Scientific Graphical Abstract Generator
- No changes detected in this release; documentation remains unchanged.
- All features, usage examples, and supported models are consistent with the previous version.
v0.1.1
Version 0.1.1
- No file changes detected in this release.
- Documentation, features, usage, and examples remain unchanged.
- No new features, bug fixes, or enhancements introduced.
v0.1.0
Scientific Graphical Abstract Generator v0.1.0 — Initial Release
- Generate professional, editable SVG graphical abstracts for scientific papers using multiple AI models (Claude, GPT-4o, DeepSeek).
- Support for various visualization types: bar charts, line charts, pie charts, scatter plots, flowcharts, and schematic diagrams.
- Data-driven visuals: create charts directly from CSV or JSON data.
- Customizable output: adjust colors, fonts, layouts, and styles to meet publication standards.
- Command and template system for flexible visualization generation.
- All outputs are high-quality, publication-ready SVG files, fully editable in vector graphics editors.
Metadata
Frequently Asked Questions
What is Scientific Graphical Abstract Skill?
Generate editable, publication-quality SVG graphical abstracts for scientific papers using AI models with customizable charts, diagrams, and data-driven visu... It is an AI Agent Skill for Claude Code / OpenClaw, with 538 downloads so far.
How do I install Scientific Graphical Abstract Skill?
Run "/install scientific-graphical-abstract-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Scientific Graphical Abstract Skill free?
Yes, Scientific Graphical Abstract Skill is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Scientific Graphical Abstract Skill support?
Scientific Graphical Abstract Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Scientific Graphical Abstract Skill?
It is built and maintained by JackKuo666 (@jackkuo666); the current version is v0.1.2.
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