Abstract Summarizer
v0.1.0Transform lengthy academic papers into concise, structured 250-word abstracts capturing background, methods, results, and conclusions. Optimized for research...
⭐ 0· 118·0 current·0 all-time
byAIpoch@aipoch-ai
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
Name/description (academic abstract summarization) matches the code and SKILL.md: scripts handle PDFs, text, URLs, and batch processing; templates and rubrics match the stated goals. The declared requirements (none) are plausible for a pure summarizer that doesn't need external credentials.
Instruction Scope
SKILL.md and code focus on reading paper text, extracting sections, preserving quantitative results, and writing structured abstracts — all within the claimed scope. The skill asks to read files/URLs and write outputs (expected). It does not instruct reading unrelated system paths or exfiltrating secrets. However, SKILL.md references clipboard and upstream/downstream skills and shows example imports (scripts.summarizer, scripts.batch) that are not present in the file manifest; the runtime instructions call Bash/Read/Write/Edit tools which allow running shell commands and file I/O — normal for this task but worth awareness.
Install Mechanism
There is no install spec (instruction-only), but a requirements.txt is included listing pypdf2 and requests. That mismatch means dependencies are declared but not automatically installed by the skill manifest; runtime may fail unless the environment provides these packages. No external download URLs or extract actions are present in the manifest (lower risk).
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code reads local files and can fetch URLs (requests) — proportional for a summarizer. There are no unrelated credential requests.
Persistence & Privilege
always:false and normal autonomous invocation are used. The skill does not request permanent elevated platform presence or attempt to modify other skills or system-wide settings. It writes its own output files as expected for batch processing.
Assessment
This skill generally looks coherent for producing structured abstracts, but check these before installing or running it:
- Code vs docs mismatch: SKILL.md examples import modules (scripts.summarizer, scripts.batch) that are not in the file list; only scripts/main.py is present. Confirm which entry point to run and that the shipped code implements the features you expect.
- Dependencies: requirements.txt lists pypdf2 and requests but there's no install step. Make sure the runtime environment has those packages (or install them in a contained environment) before running.
- Allowed tools: the skill is allowed to read/write files and run Bash per its manifest — that's needed for file processing but means you should avoid feeding sensitive data (e.g., patient records) into it unless you trust the environment.
- Review code: the Python code operates on local files and may fetch URLs with requests. Inspect or run it in a sandbox if you have any concerns about network access or filesystem writes.
If you want higher assurance, ask the author for (1) a clear install spec (how to install deps), (2) clarification of the missing modules referenced in SKILL.md, and (3) confirmation about whether network requests are only to user-provided paper URLs.Like a lobster shell, security has layers — review code before you run it.
latestvk976rw89a3kmgydm01m1jg7w69833tqe
License
MIT-0
Free to use, modify, and redistribute. No attribution required.