duckduckgo-search
duckduckgo-search is an API access & connector plumbing skill for AI agents, published by LSTM-Kirigaya in the jinhui-skills repository on GitHub. Skillspace rates duckduckgo-search C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Integrate DuckDuckGo web search into a Rust project by calling Bing and DuckDuckGo HTTP APIs directly with browser fingerprint simulation. Use when building search functionality that needs text, news, image, or video results without relying on third-party CLI wrappers. Covers the primp HTTP client, vqd token extraction, Bing HTML parsing, DuckDuckGo JSON APIs, and cross-language HTTP concepts.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 21
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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