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 strikersam/autonomous-ai-agency --skill browserbase-fetchgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/browserbase-fetch)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/browserbase-fetch"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/browserbase-fetch/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/strikersam/autonomous-ai-agency/browserbase-fetch"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/browserbase-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 48 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00059 | $0.00487 |
| Opus 5 | $0.00030 | $0.00244 |
| Sonnet 5 | $0.00012 | $0.00097 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
browserbase-fetch scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
import os, json, urllib.request What it actually says
Skill: browserbase-fetch — Lightweight Web Fetch
When to use vs browser
| Use fetch | Use browser |
|---|---|
| Static pages / APIs | JavaScript-rendered SPAs |
| HTTP header inspection | Login flows |
| JSON API responses | Form interactions |
| Redirect chains | CAPTCHA-protected pages |
| Fast bulk scraping | Visual verification |
Setup
export BROWSERBASE_API_KEY="bb_live_..."
Python snippet
import os, json, urllib.request
def bb_fetch(url: str, allow_redirects: bool = True) -> dict:
key = os.environ["BROWSERBASE_API_KEY"]
payload = json.dumps({
"url": url,
"allowRedirects": allow_redirects,
}).encode()
req = urllib.request.Request(
"https://api.browserbase.com/v1/fetch",
data=payload,
headers={"X-BB-API-Key": key, "Content-Type": "application/json"},
)
with urllib.request.urlopen(req, timeout=30) as resp:
return json.loads(resp.read())
result = bb_fetch("https://local-llm-server.strikersam.workers.dev/api/health")
print(result["status"], result["content"][:500])
Checking the platform health
# Check all public endpoints
endpoints = [
"/api/health",
"/api/doctor/public",
"/api/version",
]
for path in endpoints:
r = bb_fetch(f"https://local-llm-server.strikersam.workers.dev{path}")
print(f"{path}: HTTP {r['status']}")
print(r['content'][:200])
print()
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.
- 8d ago First seen · 74 lines · 59 tokens per session scan A b82f893cd84a
browserbase-fetch is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 487 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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