Skill Attribution
Source: self-written for task Plan-0420 W7 F701 + F702.
name: dblp description: Computer science bibliography search — technical papers, proceedings, and journal articles indexed by venue, author, and year. version: 1 languages: [en] methods:
- id: api_search
impl: methods/api_search.py requires: [] rate_limit: {per_min: 30, per_hour: 500} fallback_chain: [api_search] when_to_use: query_languages: [en] query_types: [academic, computer-science, research, technical-paper] avoid_for: [social, multimedia, real-time] quality_hint: typical_yield: medium chinese_native: false layer: leaf domains: [academic] scenarios: [computer-science, author-bibliography] model_tier: Fast experience_digest: experience.md
Overview
dblp is the focused bibliography channel for computer science papers, conference proceedings, and journal articles. It is useful when the query is clearly CS-oriented and benefits from venue, author, and year metadata even when abstracts are unavailable.
When To Choose It
- Choose it for English CS paper discovery, author lookup, venue lookup, and bibliography-style queries.
- Choose it when the planner wants broader CS venue coverage than a single preprint index.
- Avoid it for social discussion, multimedia content, or breaking news.
How To Search
api_searchqueries the DBLP publication API and normalizes hits into evidence with external links when available.- Result snippets are synthesized from authors, venue, year, and record type because DBLP does not provide abstracts.
Known Quirks
- Titles may end with a trailing period in the raw API payload and should be normalized.
- Some hits only expose a DBLP record page while others provide an external DOI landing page.
- Coverage is strongest for computer science and adjacent technical literature, not general scholarly search.
Quality Bar
- Evidence items have non-empty title and url.
- No crash on empty or malformed API response.
- Source channel field matches the channel name.