Works with the AI tools you already use
carcosa
A hand-rolled Rust browser stack for fingerprint-resistance and anti-bot evasion.
$11.10
carcosa
Example session with this skill installed
Fetch https://example.com/data using a Stranger identity and report the JA4 fingerprint and any detected anti-bot vendors.
- Read your context and instructions
- Compiled the carcosa
Fetched https://example.com/data.
Outcome: Served.
Vendor: None detected.
JA4: t13d0912h2_f91f431d341e_33e34973addd.
ALPN: h2.
Protocol: TLS 1.3.
Identity audit: Coherent.
Connects securely to your tools. The creator never sees your data.
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
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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Verified clean 10 days ago
- Passed all security checks, Safe to install