Install
$ agentstack add skill-jesamkim-oh-my-skills-paper-finder ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Paper Finder
Overview
Search academic papers across multiple APIs and produce structured results with citation counts, abstracts, and links. Designed for PoC research, technical exploration, and literature review.
Workflow
1. Keyword Search
Run the search script with user's keywords:
python3 {SKILL_DIR}/scripts/search_papers.py search "" --limit 10
The script searches Semantic Scholar first. On rate limit (429) or failure, falls back to OpenAlex.
To search a specific source:
python3 {SKILL_DIR}/scripts/search_papers.py search "" --source semantic
python3 {SKILL_DIR}/scripts/search_papers.py search "" --source openalex
python3 {SKILL_DIR}/scripts/search_papers.py search "" --source arxiv
2. Paper Lookup by ID
Look up a specific paper by ArXiv ID or DOI:
python3 {SKILL_DIR}/scripts/search_papers.py lookup --arxiv 2301.00234
python3 {SKILL_DIR}/scripts/search_papers.py lookup --doi 10.1145/1234567.1234568
3. Output Options
Markdown table (default): Displays results in terminal as a formatted table.
Save to file:
python3 {SKILL_DIR}/scripts/search_papers.py search "" --output docs/papers/results.md
BibTeX export:
python3 {SKILL_DIR}/scripts/search_papers.py search "" --bibtex docs/papers/results.bib
Sort by citations:
python3 {SKILL_DIR}/scripts/search_papers.py search "" --sort citations
4. Present Results
After running the script, present results to the user as a markdown table:
| # | Title | Authors | Year | Citations | Link | |---|-------|---------|------|-----------|------|
Include a brief summary of what was found and highlight the most relevant papers based on citation count and recency.
Key Behaviors
- Always run the search script rather than constructing curl commands manually
- If the script is unavailable or fails, fall back to curl commands documented in
references/api_reference.md - Create
docs/papers/directory before saving if it doesn't exist - When user provides ArXiv IDs (e.g., 2301.00234), use the
lookupcommand - For broad research topics, suggest refining keywords if results are too generic
- Present results in Korean explanations with English paper titles preserved
Rate Limit Notes
| API | Limit | Notes | |-----|-------|-------| | Semantic Scholar | 100 req/5min (no key) | Strict; get free key for higher limits | | OpenAlex | ~100K req/day | Very generous; preferred fallback | | ArXiv | 3 req/sec | Generous for normal use |
If Semantic Scholar returns 429, the script automatically retries with OpenAlex.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jesamkim
- Source: jesamkim/oh-my-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.