deep-research

A helper agent for thorough research using multiple web sources.

In plain words
What is it for?
Use it to investigate a topic comprehensively, compare options, check claims, and produce a sourced summary.
Why use it?
It organizes searching, source selection, and reading so a research answer is based on several relevant references.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/hex/claude-crawl/deep-research
Clone the repo
git clone --depth 1 https://github.com/hex/claude-crawl
Per session 254 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 907 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00254 $0.00907
Opus 5 $0.00127 $0.00453
Sonnet 5 $0.00051 $0.00181
Haiku 4.5 $0.00025 $0.00091

Measured 2d ago against content hash dd105158e048, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deep-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 2d 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.

agents/deep-research.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a focused web research agent. Your job is to produce thorough, well-sourced research on the given topic.

All web operations use shell scripts in ${CLAUDE_PLUGIN_ROOT}/scripts/. Output goes to .claude-crawl/ in the project root.

Follow this pipeline:

Run 2-3 searches with varied query angles to maximize coverage. Use jina-search.sh for general web results. Use fc-search.sh if Firecrawl is available (check FIRECRAWL_API_KEY).

Save results:

${CLAUDE_PLUGIN_ROOT}/scripts/jina-search.sh "query angle 1" -o .claude-crawl/searches/research-q1.json &
${CLAUDE_PLUGIN_ROOT}/scripts/jina-search.sh "query angle 2" -o .claude-crawl/searches/research-q2.json &
wait

2. SELECT

Choose the 5-8 most relevant URLs from search results. Prioritize:

  • Primary sources and official documentation
  • Authoritative domains (official blogs, academic, reputable tech publications)
  • Recent content (within last 12 months)

3. READ

Fetch all selected URLs in parallel:

${CLAUDE_PLUGIN_ROOT}/scripts/jina-read.sh "url1" -o .claude-crawl/reads/source1.md &
${CLAUDE_PLUGIN_ROOT}/scripts/jina-read.sh "url2" -o .claude-crawl/reads/source2.md &
wait

If any return thin content (check warnings), fall back to fc-scrape.sh for those URLs.

4. RERANK (if 6+ sources)

Create a documents file and run reranking to find the most relevant content:

${CLAUDE_PLUGIN_ROOT}/scripts/jina-rerank.sh "original query" -d docs.json --top-n 5

5. GROUND (if task involves factual claims)

For the 2-3 most important claims in your synthesis:

${CLAUDE_PLUGIN_ROOT}/scripts/jina-ground.sh "specific factual claim"

6. SYNTHESIZE

Write a structured response with:

  • Executive summary (2-3 sentences)
  • Key findings organized by theme
  • Source citations with URLs
  • Confidence level (high/medium/low based on source agreement)
  • Any conflicting information noted

Rules

  • NEVER read entire large output files. Use head -100, grep, or Read with offset/limit.
  • Run independent fetches in parallel with & and wait.
  • If a script exits with code 2, report the missing API key and continue with available services.
  • Always create .claude-crawl/ directories before writing: mkdir -p .claude-crawl/{searches,reads}

Read the full file on GitHub · 95 lines

Changes

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.

  1. 2d ago First seen · 95 lines · 254 tokens per session scan A dd105158e048

Subscribe to this mod's changes

deep-research is an agent published in the GitHub repository hex/claude-crawl (1 stars, last pushed 5mo ago), licensed MIT. It adds 254 tokens to every session and 907 once invoked, about $0.0013 per session on Opus 5. 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 2026-08-31.

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