Borrowing it
Nothing to install: this file belongs to dundas/thinkrun. 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/dundas/thinkrun/main/.claude/skills/thinkbrowse-mcp/SKILL.mdgit clone --depth 1 https://github.com/dundas/thinkrunWrote 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/dundas/thinkrun/thinkbrowse-mcp)<a href="https://agentmods.dev/skills/dundas/thinkrun/thinkbrowse-mcp"><img src="https://agentmods.dev/badge/skills/dundas/thinkrun/thinkbrowse-mcp/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/dundas/thinkrun/thinkbrowse-mcp"><img src="https://agentmods.dev/badge/skills/dundas/thinkrun/thinkbrowse-mcp.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 | $0.00081 | $0.01600 |
| Opus 5.5 | $0.00032 | $0.00640 |
| Sonnet 5.5 | $0.00016 | $0.00320 |
| Haiku 4.5 | $0.00008 | $0.00160 |
Grade A, and why
thinkbrowse-mcp 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 2mo 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ThinkBrowse MCP
Control browsers using ThinkBrowse MCP tools (mcp__thinkbrowse__*). 35 tools. Three modes: auto (default), local, cloud.
Every tool call MUST include a thought parameter explaining your reasoning.
Quick Start
1. session_create → get a session
2. session_wait_ready → wait for provisioning (cloud)
3. navigate → go to URL
4. snapshot → read page structure (best for AI)
5. screenshot → visual capture
6. click / type_text → interact
7. session_delete → clean up
Top 5 Patterns
1. Navigate → Snapshot → Act
snapshot {thought: "Read page structure before interacting"}
click {selector: "button[type=submit]", thought: "Click submit — confirmed via snapshot"}
Always snapshot before clicking to find the right selector.
2. Click by Text (When Selectors Are Ambiguous)
evaluate {
script: "[...document.querySelectorAll('button,a,[role=button]')].find(el=>el.textContent.trim()==='Sign In')?.click()",
thought: "Multiple buttons — clicking by visible text"
}
3. React Forms (type_text, NOT fill)
click {selector: "input[name=email]", thought: "Focus email field"}
type_text {selector: "input[name=email]", text: "[email protected]", thought: "React input — using type_text"}
click {selector: "button[type=submit]", thought: "Submit form"}
fill uses native DOM value setting — React won't detect the change. type_text uses keyboard events.
4. List Interactive Elements
evaluate {
script: "[...document.querySelectorAll('button,[role=tab],a')].map(b=>({label:b.getAttribute('aria-label'),text:b.textContent.trim().slice(0,50),tag:b.tagName})).filter(b=>b.text||b.label)",
thought: "Find all clickable elements"
}
5. Cloud Session Lifecycle
session_create {thought: "Create cloud session"}
session_wait_ready {sessionId: "...", thought: "Wait for provisioning (60-90s)"}
navigate {url: "https://example.com", thought: "Go to target"}
...
session_delete {sessionId: "...", thought: "Clean up"}
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 183 lines · 81 tokens per session scan A 556045fbab65
thinkbrowse-mcp is a skill published in the GitHub repository dundas/thinkrun (2 stars, last pushed 18d ago), licensed MIT. It adds 81 tokens to every session and 1,600 once invoked, about $0.0003 per session on Opus 5.5. 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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