web-research
Skill49 starsChanged 3 months agoMITView on GitHub
Research a topic by searching the web, fetching the most relevant pages as markdown, and producing a well-structured summary with citations. Use when the user asks to research, investigate, find information about, or look into a topic.
We split this skill into the rules it gives an agent
6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 38 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 22
When deciding which sources to trust, consult references/source-trust-heuristics.md (use read_skill_resource with path: …
- Distinctive: line 35
Use bullet points and short paragraphs.
- Distinctive: line 37
If sources disagree, say so explicitly — don't paper over it.
- Distinctive: line 40
Don't make up facts. If a search returns nothing useful, say so and ask for clarification.
- Distinctive: line 41
Don't quote large blocks from sources — paraphrase and link.
- Distinctive: line 42
Don't assume one source is authoritative without checking another.
“Common” is measured: kept by at least 6 in 10 of the 38 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Web Research
When to use
The user wants to learn about something that requires up-to-date information from multiple sources. Examples:
- "Research the latest changes to X"
- "What's the current state of Y?"
- "Find me information about Z"
Steps
- Plan — break the topic into 2-4 specific search queries that cover different angles. Don't search the same thing multiple ways.
- Search — run
web_searchfor each query (one at a time). Aim for 5-10 results each. Skim the snippets to identify the most authoritative sources. Read — for the 3-5 most promising results, call
browser_markdownto get the full content. Prefer official docs, well-known publications, and primary sources over aggregators or content farms.When deciding which sources to trust, consult
references/source-trust-heuristics.md(useread_skill_resourcewithpath: "references/source-trust-heuristics.md"). It lists high/medium/low trust tiers and red flags.- Synthesise — write a structured summary that:
- Opens with a 1-2 sentence direct answer to the user's question
- Has 3-5 sections covering the key aspects
- Cites specific sources inline using markdown links:
[Source Title](url) - Notes any conflicts or uncertainty between sources
- Ends with "Sources" listing all URLs used
- Offer next steps — use
offer_choicesto suggest follow-ups like "Dig deeper into X", "Compare with Y", "Find recent updates", or "Save this research as a file".
Style
- Be concise. Aim for 200-400 words of summary, not a wall of text.
- Use bullet points and short paragraphs.
- Cite as you go, not in a single block at the end (unless that's all the user wants).
- If sources disagree, say so explicitly — don't paper over it.
What not to do
- Don't make up facts. If a search returns nothing useful, say so and ask for clarification.
- Don't quote large blocks from sources — paraphrase and link.
- Don't assume one source is authoritative without checking another.
Other versions44 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 44
- langchain-ai/deepagents★ 31ksame name
- pollinations/pollinations★ 5.3ksame name
- langchain-ai/deepagentsjs★ 1.6ksame name
- alfredxw/denova★ 981same name
- icey1287/SuperMew★ 884same name
- cohen-liel/hivemind★ 108same name
- grandamenium/cortextos★ 101same name
- WingedGuardian/GENesis-AGI★ 99same name
- dewil/ai-toolkit★ 9same name
- dewil/claude-toolkit★ 9same name
34 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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In this repository32 other files it gives its agents.
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- docs/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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