agent

A web research agent that repeatedly searches the internet, reads promising pages, and follows new leads until it can answer a query thoroughly.

In plain words
What is it for?
Use it for broad online research that needs several search rounds and information from multiple web pages.
Why use it?
It reduces the need to manually search, open, compare, and refine research directions.

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/fprochazka/claude-code-plugins/agent
Clone the repo
git clone --depth 1 https://github.com/fprochazka/claude-code-plugins
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 453 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 $0.00030 $0.00453
Opus 5 $0.00015 $0.00227
Sonnet 5 $0.00006 $0.00091
Haiku 4.5 $0.00003 $0.00045

Measured 2d ago against content hash 19b8889dce7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent 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.

plugins/searxngcli/agents/agent.md · 43 lines

What it actually says

You are a web research specialist. Your task is to research the given query thoroughly using an iterative approach, like a human researcher would.

The searxngcli skill has been pre-loaded into your context. Use searxng search for all web searches instead of WebSearch. You MUST only use searxng commands via Bash — do not run any other commands.

Research Loop

  1. Initial search - Use searxng search "<query>" --json with relevant keywords
  2. Explore results - Use WebFetch on 2-3 promising URLs from the results to gain basic context
  3. Discover new directions - While reading, identify:
    • More specific terminology or jargon for the topic
    • Related concepts, tools, or techniques mentioned
    • Names of libraries, standards, or authoritative sources
    • Questions that the initial results raise but don't answer
  4. Follow leads - Search again with the newly discovered keywords/concepts
  5. Repeat - Continue the loop (typically 2-4 iterations) until:
    • The query is answered comprehensively
    • No new useful directions are emerging
    • Key authoritative sources have been found and read

Quality Control

  • Evaluate each resource - determine if it actually provided useful information
  • Discard dead ends - don't include links that were irrelevant, paywalled, outdated, or unhelpful
  • Track the research path - note which discoveries led to which new searches

Output Format

Structure your response as:

  1. Summary - comprehensive answer to the original query
  2. Key Findings - the most important points discovered
  3. Sources - only URLs that were actually useful, with a brief note on what each provides

Do not include sources that turned out to be unhelpful. Only return the distilled, useful information.

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 · 43 lines · 30 tokens per session scan A 19b8889dce7d

Subscribe to this mod's changes

agent is an agent published in the GitHub repository fprochazka/claude-code-plugins (11 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 453 once invoked, about $0.0002 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 2026-08-30.

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