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 skills/agentproto/ts/browsernpx skills add agentproto/ts --skill browsergit clone --depth 1 https://github.com/agentproto/tsWhat 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 | $0.00130 | $0.01493 |
| Opus 5 | $0.00065 | $0.00746 |
| Sonnet 5 | $0.00026 | $0.00299 |
| Haiku 4.5 | $0.00013 | $0.00149 |
Grade A, and why
browser 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 yesterday.
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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Browser — the authenticated-browser capability
The browser is an authenticated transport to the user's real sessions. Read data from each site's own internal API (ground truth) and use the DOM only for visuals + the few write buttons. Proven: on a hardened SPA the DOM yields ~0 useful data while an in-page API fetch returns the full structured truth.
Where each concern lives (three homes, one boundary)
- Capability = code. The social capture/search recipes are implemented in
@agstudio/browser-social(theSOCIAL_PLATFORMSadapters +createLinkedInVoyager). Drive the adapter; don't re-derive a recipe by hand. - Operator "how/when" = corpus playbook. The durable judgement a runtime
agent carries (recon SOP, persona = four signals, person-id scoring,
when-to-escalate-stealth, rate-limit + write-gating discipline) is the
social-reconcorpus playbook overlay, injected into the operator's prompt (projects/guilde/packages/builtins/src/knowledge/social-recon.ts; read path inapps/api/src/mastra/guilde-playbook-processors.ts). A runtime operator cannot read these dev skills — the playbook is its home for that knowledge. - Dev-SOP = these skills. What you (building/debugging the stack) need: transport mechanics, the chrome-devtools-mcp tool surface, proven-live gotchas, the per-platform internal-API reference (a superset of what the adapters implement — includes gated write ops). This is the dev-facing mirror.
Golden rules
- API-first for data — find the site's internal API; the DOM is the slow,
obfuscated, anti-scraping surface. News/content sites are the exception →
readability/ld+json (content IS the HTML). See
reference/recon.md. - Fail fast — ~8 s timeouts, not 60 s. After 5-6 s it's ~90 % a hard hang.
- Direct URL nav > clicking navigating-links (clicks that navigate hang).
- Tab/focus discipline —
list_pagesbefore acting; re-assertselect_page({pageId, bringToFront:true})per op under multi-agent contention. - Clear cookie/consent gates — CMP banners + login/paywall cookies first.
- Gate every write — acts as the user; explicit per-action confirmation.
- Capture cheaply — snapshot/evaluate for data; screenshot only for pixels.
- Blocked? → stealth. On a hard anti-bot block ("Sorry, you have been
blocked" / Cloudflare / DataDome / 403-429-503), this Chrome chain won't
recover — switch to the camofox-stealth MCP on agentproto:
mcp_imported_call alias="camofox-stealth" toolName="scrape"(HTTP-first, auto-escalates) orstealth_snapshot. Needs the camofox server on :9377 (launchdcom.agentik.camofox). Seeprojects/browser/apps/stealth-mcp/README.md.
What ships with it
5 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.
- yesterday First seen · 106 lines · 130 tokens per session scan A 7448317e5556
browser is a skill published in the GitHub repository agentproto/ts (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 130 tokens to every session and 1,493 once invoked, about $0.0006 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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