Works with the AI tools you already use
carcosa
A hand-rolled Rust browser stack for fingerprint-resistance and anti-bot evasion.
$11.10
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See it in action
You say
Fetch https://example.com/data using a Stranger identity and report the JA4 fingerprint and any detected anti-bot vendors.
Your agent does
Fetched https://example.com/data. Outcome: Served. Vendor: None detected. JA4: t13d0912h2_f91f431d341e_33e34973addd. ALPN: h2. Protocol: TLS 1.3. Identity audit: Coherent.
What you get
About this skill
The problem
Standard automation tools like Playwright and Selenium are easily flagged by modern anti-bot systems because their underlying network stacks and execution patterns leave distinct fingerprints. Even with stealth plugins, inconsistencies between TLS handshakes, HTTP/2 settings, and TCP options often lead to immediate blocks or shadowbans.
What it does
- Generates coherent "Stranger" identities where TLS extensions, HTTP/2 frames, and TCP SYN options are cross-audited for consistency.
- Bypasses detection via a custom Rust network stack built from raw TLS 1.3 bytes, avoiding common fingerprints from OpenSSL or rustls.
- Simulates human-plausible mouse movement using Egregore trajectories with randomized curvature, jitter, and element-specific aim bias.
- Classifies server responses to identify specific security vendors like Cloudflare, DataDome, and Akamai while suggesting remediation steps.
- Automates robots.txt analysis to identify honeypots, hidden links, and crawl budget constraints before interaction.
Frameworks & tools
Built with Rust. Interfaces via a multicall binary or SOCKS5/Tor proxies. Integrated with YouTube Innertube API for native playback simulation.
Why this beats prompting it yourself
Generic LLM prompts cannot fix a leaked TLS fingerprint or an inconsistent TCP window size. This skill provides a specialized low-level toolkit that handles the complex math of KDF schedules and wire-level protocol enforcement that standard libraries abstract away.
Use cases
- Scraping high-security targets that block standard headless browsers.
- Auditing site security by identifying traps, honeypots, and WAF vendors.
- Automating native YouTube playback and stream extraction without triggering bot detection.
- Testing geographic coherence and ASN-based reachability across residential or proxy networks.
Known limitations
Requires a local Rust environment to compile the carcosa-rs crate. The Stranger identity does not spoof existing browsers; it presents a unique, coherent identity that some sites may block by default. Updates roll in consistently.
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How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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