ClawHub

Journal Abbrev

v1.0.2

Use when looking up journal or magazine name abbreviations, converting between full names and ISO 4/MEDLINE abbreviations, processing BibTeX files for journa...

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byAgents365.ai@agents365-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description (journal abbreviation lookup, BibTeX processing) match the included Python CLI and SKILL.md. The script needs only python3, downloads JabRef CSVs, queries AbbrevISO and NLM — all are reasonable data sources for this purpose.
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Instruction Scope
SKILL.md directs the agent to run jabbrv.py for lookups and to use local cache + upstream fallbacks. The script performs network I/O (GitHub raw content, AbbrevISO toolforge, NCBI Entrez) and reads/writes files in a local 'cache' directory and can modify .bib files. That behavior is coherent with the described functionality, but users should be aware that running bib processing with write/output flags can modify their files (there is a --dry-run preview option).
✓
Install Mechanism
No install spec is provided (instruction-only skill). The included Python file is pure standard-library code and does not pull arbitrary binary builds or third-party packages. First-run cache download comes from raw.githubusercontent.com (a standard release host).
✓
Credentials
The skill requests no environment variables, no credentials, and no config paths. Network access is used but only to public endpoints that are directly related to its stated data sources; the level of access requested is proportionate to the task.
✓
Persistence & Privilege
always is false and the skill does not request permanent platform privileges. It writes cache files into its own directory (CACHE_DIR = Path(__file__).parent / 'cache'), which is normal for a CLI that caches datasets. It does not modify other skills or global agent configuration.
Assessment
This skill appears internally consistent and implements the advertised features. Before installing, note: (1) it will download JabRef CSV files from GitHub and call two external APIs (AbbrevISO and NLM/Entrez) — expect outgoing network traffic; (2) it writes a local cache under the skill directory and can modify .bib files when run with write/output flags (use --dry-run first); (3) no credentials are required. If you need extra caution, inspect the included jabbrv.py locally, run commands with --dry-run, and run the tool in a non-sensitive environment or sandbox.

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
OSmacOS · Linux · Windows
Binspython3

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