Academic Search
v1.0.0Conducts systematic searches across arXiv, Google Scholar, and Semantic Scholar to find, analyze, and summarize the top 5 relevant academic papers with full...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (Academic Search) matches the SKILL.md and knowledge files: it documents arXiv, Semantic Scholar, and Google Scholar query strategies, citation analysis, deduplication, and synthesis. The dependency on @botlearn/google-search is declared in manifest/package.json and is consistent with the stated intent to route Google Scholar queries via a helper. There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
The SKILL.md instructs the agent to execute parallel searches against arXiv, Semantic Scholar, and Google Scholar and to follow multi-step screening, deduplication, and citation-graph analysis. That scope is coherent with the stated purpose. Notes of operational relevance: (1) Google Scholar has no official public API and the skill relies on a google-search helper (declared) for Scholar queries — this is fragile and may trigger blocking or ToS issues; (2) the Semantic Scholar usage assumes API access but does not declare or require an API key (Semantic Scholar allows limited unauthenticated requests but higher-rate access requires a key); (3) instructions call out visiting author homepages and external links to find open-access copies, which is expected but means the agent will access arbitrary external URLs.
Install Mechanism
There is no install spec and no code will be downloaded/executed by the platform beyond reading the SKILL.md and bundled documentation. This is the lowest-risk install posture. The package manifests and README reference an upstream repo, but nothing in the skill attempts to fetch or run external archives during install.
Credentials
The skill requests no environment variables, credentials, or config paths, which is proportionate. Practical caveat: Semantic Scholar and some scraping helpers can operate unauthenticated at reduced rates — if higher throughput is needed the agent or user might add a Semantic Scholar API key later, but that is not required by this package. No secrets are requested up front, which aligns with the skill's described behavior.
Persistence & Privilege
always:false and no special system-level persistence is requested. disable-model-invocation is false (default), meaning the skill can be invoked by the agent autonomously — this is platform default and not flagged alone. The skill does not request modifying other skills or system settings.
Assessment
This skill appears internally consistent with its goal of finding and synthesizing academic papers. Before installing, consider: (1) runtime needs — the agent will make outbound web/API requests (arXiv, Semantic Scholar, Google Scholar via a google-search helper) so the agent must have network access; (2) rate limits and robustness — Semantic Scholar has rate limits and benefits from an API key (not required here), and Google Scholar scraping is fragile and may be blocked or violate Google terms; (3) paywalled content — the skill will attempt to locate open-access copies but cannot bypass paywalls; verify any paywalled items through your institution if needed; (4) provenance — the package metadata points to a GitHub repo in package.json/README; if you want stronger assurances, review that upstream repository and the @botlearn/google-search dependency before use; (5) verification — because outputs are API-driven, spot-check returned bibliographic metadata (DOIs, arXiv IDs, venues) when accuracy matters. If you expect heavy or repeated use, consider provisioning a Semantic Scholar API key (to improve rate limits) and be aware of Google Scholar access limitations.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.