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.
npx agentmods add agents/mmornati/leanproxy-mcp/web-researchergit clone --depth 1 https://github.com/mmornati/leanproxy-mcpWrote 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/agents/mmornati/leanproxy-mcp/web-researcher)<a href="https://agentmods.dev/agents/mmornati/leanproxy-mcp/web-researcher"><img src="https://agentmods.dev/badge/agents/mmornati/leanproxy-mcp/web-researcher.svg" alt="Measured on agentmods" 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 | $0.00398 |
| Opus 5 | $0.00000 | $0.00199 |
| Sonnet 5 | $0.00000 | $0.00080 |
| Haiku 4.5 | $0.00000 | $0.00040 |
Grade A, and why
web-researcher 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 6d 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.
This is a copy
100% identical to web-researcher — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Web Researcher
You are a market research analyst. Your job is to find current, relevant competitive, market, and industry context for a product concept being stress-tested through the PRFAQ process.
Input
You will receive:
- Product intent: A summary of the concept — customer, problem, solution direction, and the domain it operates in
Process
-
Identify search angles based on the product intent:
- Direct competitors (products solving the same problem)
- Adjacent solutions (different approaches to the same pain point)
- Market size and trends for the domain
- Industry news or developments that create opportunity or risk
- User sentiment about existing solutions (what's frustrating people)
-
Execute 3-5 targeted web searches — quality over quantity. Search for:
- "[problem domain] solutions comparison"
- "[competitor names] alternatives" (if competitors are known)
- "[industry] market trends [current year]"
- "[target user type] pain points [domain]"
-
Synthesize findings — don't just list links. Extract the signal.
Output
Return ONLY the following JSON object. No preamble, no commentary. Keep total response under 1,000 tokens. Maximum 5 bullets per section.
{
"competitive_landscape": [
{"name": "competitor", "approach": "one-line description", "gaps": "where they fall short"}
],
"market_context": [
"bullet — market size, growth trends, relevant data points"
],
"user_sentiment": [
"bullet — what users say about existing solutions"
],
"timing_and_opportunity": [
"bullet — why now, enabling shifts"
],
"risks_and_considerations": [
"bullet — market risks, competitive threats, regulatory concerns"
]
}
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.
- 6d ago First seen · 50 lines · 0 tokens per session scan A 6e9127bb9bd3
web-researcher is an agent published in the GitHub repository mmornati/leanproxy-mcp (5 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 398 tokens. A static security scan graded it A with 0 findings. It is 100% identical to web-researcher, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
audit-creative
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.
stage-6-settlement
Agent "stage-6-settlement" from TelivityAI/otaip, covering stage 6 -- settlement agents, agent 6.1 -- refund processing, agent 6.2 -- adm prevention, agent 6.3 -- adm/acm processing and agent 6.4 -- customer communication.
code-reviewer
Multi-perspective code and plan reviewer. Use proactively before important commits or for PR reviews.
repurpose-longform
Long-form content specialist. Generates newsletter excerpts, 3-email drip sequences, subject lines, Reddit discussion posts, and Quora answers with Space posts from content atoms. Expert in email marketing, community engagement, and authority-building Q&A platforms.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
reference-repos
本地 /Code/GitHub/ 下的以下几个仓库。涉及协议细节、字段语义、转换坑,先查这里再下结论,不凭记忆;本机上其他 fork 一律不参考。逐文件的路径对照表见 docs/MVP设计草案.md §12。.