Borrowing it
Nothing to install: this file belongs to cohen-liel/hivemind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cohen-liel/hivemind/main/.claude/skills/web-research/SKILL.mdgit clone --depth 1 https://github.com/cohen-liel/hivemindWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cohen-liel/hivemind/web-research)<a href="https://agentmods.dev/skills/cohen-liel/hivemind/web-research"><img src="https://agentmods.dev/badge/skills/cohen-liel/hivemind/web-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cohen-liel/hivemind/web-research"><img src="https://agentmods.dev/badge/skills/cohen-liel/hivemind/web-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01838 |
| Opus 5.5 | $0.00000 | $0.00735 |
| Sonnet 5.5 | $0.00000 | $0.00368 |
| Haiku 4.5 | $0.00000 | $0.00184 |
Grade A, and why
web-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Web Research & Intelligence Skill
Conduct comprehensive, multi-source web research with real-time data. This is a POWER skill — it doesn't just search, it investigates, cross-references, validates, and synthesizes actionable intelligence.
Triggers
- "research X", "look up X", "find out about X", "what is X"
- "compare X vs Y", "which is better", "pros and cons"
- "what's the latest on X", "news about X", "trends in X"
- Technology evaluations and stack decisions
- Documentation lookups for libraries/frameworks/APIs
- Competitive analysis, market sizing, or industry scans
- "find me data on X", "statistics about X"
- Any question requiring external knowledge beyond training data
Research Tiers
Tier 1: Quick Lookup (1-2 searches)
For simple factual questions:
- "What version is React on?"
- "What's the pricing for Vercel?"
- "Is library X still maintained?"
Tier 2: Standard Research (3-5 searches)
For comparison and evaluation:
- "Compare Prisma vs Drizzle for our use case"
- "Best practices for WebSocket authentication"
- "How does Stripe handle refunds?"
Tier 3: Deep Investigation (6-12 searches)
For strategic decisions and comprehensive analysis:
- "Should we migrate from REST to GraphQL?"
- "Full competitive analysis of X market"
- "Technology landscape for real-time collaboration"
Tier 4: Intelligence Report (12+ searches)
For board-level decisions and thorough due diligence:
- "Complete market analysis for entering X space"
- "Technical due diligence on acquiring X company"
- "Build vs buy analysis for X capability"
Research Methodology
Phase 1: Scope & Strategy
- Classify the research tier (1-4)
- Define the core question and sub-questions
- Identify target source types (docs, GitHub, blogs, research papers, forums)
- Plan search queries — start broad, then narrow
Phase 2: Primary Research
- WebSearch with 3-5 varied query formulations per sub-question
- WebFetch the top 3-5 most relevant URLs per query
- Extract data points, quotes, statistics, dates
- Track source URLs and publication dates
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 242 lines · 0 tokens per session scan A 0851f9b5b68b
web-research is a skill published in the GitHub repository cohen-liel/hivemind (112 stars, last pushed 6mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,838 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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