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 skills add creatorpiyush/webmesh-mcp --skill web-researchergit clone --depth 1 https://github.com/creatorpiyush/webmesh-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/skills/creatorpiyush/webmesh-mcp/web-researcher)<a href="https://agentmods.dev/skills/creatorpiyush/webmesh-mcp/web-researcher"><img src="https://agentmods.dev/badge/skills/creatorpiyush/webmesh-mcp/web-researcher/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/creatorpiyush/webmesh-mcp/web-researcher"><img src="https://agentmods.dev/badge/skills/creatorpiyush/webmesh-mcp/web-researcher.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 | $0.00072 | $0.00406 |
| Opus 5 | $0.00036 | $0.00203 |
| Sonnet 5 | $0.00014 | $0.00081 |
| Haiku 4.5 | $0.00007 | $0.00041 |
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 10d 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.
What it actually says
Web Researcher Skill
This skill guides AI agents on how to conduct deep, structured web research using webmesh-mcp tools with minimal token consumption.
Research Workflow Strategy
Phase 1: Discover Structure
└── web_crawl (startUrl, maxDepth: 2, contentDepth: "summary")
└── Collect page titles, link graph, and 200-char excerpts
Phase 2: Evaluate & Select
└── Inspect returned summaries (zero LLM token waste)
└── Identify top 2-5 URLs directly relevant to the query
Phase 3: Deep Extraction
└── web_crawl_get_page (for each selected URL)
└── Read full cached markdown directly from SQLite cache
Phase 4: Synthesis
└── Produce final concise summary/report for the user
Best Practices
- Never use
contentDepth: "full"on large crawls. It returns full markdown for every discovered page in one response, which can overflow context windows. Usesummaryfirst. - Use
includePatterns/excludePatterns.- Include:
["/docs/*", "/api/*", "/guide/*"] - Exclude:
["/changelog/*", "/blog/*", "/privacy*"]
- Include:
- Fallback to
web_scrape. Ifweb_crawldiscovers external links outsidesameHostOnly, callweb_scrapeindividually on those key external links.
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.
- 10d ago First seen · 40 lines · 72 tokens per session scan A 328d8e67ea1c
web-researcher is a skill published in the GitHub repository creatorpiyush/webmesh-mcp (0 stars, last pushed 25d ago), licensed MIT. It adds 72 tokens to every session and 406 once invoked, about $0.0004 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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