ClawHub

Astronomy

v1.0.0

Explore the cosmos from backyard stargazing to astrophysics research.

⭐ 2· 1.1k·3 current·3 all-time
byIván@ivangdavila
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
✓
Purpose & Capability
The name/description (astronomy from backyard to research) matches the SKILL.md content: beginner explanations, student derivations, teacher activities, and researcher workflows. No unrelated binaries, env vars, or config paths are requested.
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Instruction Scope
The instructions are conversational and pedagogical and do not direct the agent to read local files or exfiltrate data. For researcher-level guidance the doc assumes access to scientific tools and archives (astropy, FITS handling, JWST/ESO/SDSS workflows). That assumption is reasonable for expert-level help but could lead the agent to request access to large datasets, files, or archive credentials when actually executed; the SKILL.md itself does not instruct any unauthorized file or credential access.
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Install Mechanism
No install spec, no downloads, and no code files — lowest-risk instruction-only skill. Nothing will be written to disk by an installer.
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Credentials
The skill requests no environment variables or credentials (proportionate). It does, however, presuppose scientific libraries and archive access for research workflows; those dependencies are not declared here, so users should be aware advanced tasks may require providing data or external service access later.
✓
Persistence & Privilege
Defaults (always: false, model invocation allowed) are appropriate. The skill does not request permanent presence or modify other skills' settings.
Assessment
This is an instruction-only astronomy skill and appears to be what it claims: educational and research guidance. It does not ask for credentials or install software. Things to watch for after installing: if the agent asks you to upload local FITS files, run code, or provide API keys for data archives (MAST, ESO, etc.), only do so if you understand and trust the destination; avoid sharing cloud/OS credentials. For advanced research workflows expect the agent to require scientific libraries or dataset access — verify whether computation runs locally (your machine) or remotely, and prefer giving minimal, non-sensitive example data rather than broad access to your systems or private archives.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🔭 Clawdis
OSLinux · macOS · Windows

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