web-search
SolidUSE WHEN the user asks for current facts, recent news, prices/rates, or anything that may have changed since the training cutoff. Plans the query, runs WebSearch / WebFetch (or an MCP fetch tool), and synthesizes a cited answer with date + source URL.
AI & Automation 50 stars
6 forks Updated today MIT
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Skill Content
# web-search — fresh, cited answers
## When to use
Trigger when the question depends on **current state**:
- prices, rates, exchange rates, stock quotes, ETF NAV
- recent news (last 6 months)
- newly released product specs, library versions
- regulations / policies that may have changed
- comparison ("X vs Y") where one side could have shipped updates
Do NOT use for stable facts (math, history, well-settled science) — answer
directly. Web searches add latency and cost.
## How to run
1. **Plan the query**. Convert vague Chinese questions into 2–4 targeted English
keywords. Strip filler words. Example: "美元兑人民币今天什么价" →
`USD CNY exchange rate today`.
2. **Search**. Prefer in this order:
- `WebSearch` tool (if available)
- `mcp__fetch__fetch` (MCP fetch server) for known URLs
- `WebFetch` for known docs / official sources
3. **Verify recency**. Open at least one source, confirm the publication date is
within the relevant window. If only stale results, say so explicitly — do NOT
pretend the answer is current.
4. **Synthesize**. Output:
- One-sentence answer with the **number / fact**
- Bullet of 2–3 source citations: `[Title](URL) — YYYY-MM-DD`
- If sources disagree, surface the disagreement
## Failure modes to avoid
- Quoting yesterday's number as "today's"
- Citing a self-media blog when an official source exists (always prefer
central-bank / exchange / vendor official pages)
- Doing zero searches but writing a confident-sounding paragra...
Details
- Author
- hesorchen
- Repository
- hesorchen/muselab
- Created
- 2 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
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