Tencent BrowserSkill Enterprise Web Agent & Crawler

@tencent/browserskill-agent · v2.0.8

An enterprise-grade computer-vision driven browser agent for DeepSeek Harness. Delivers complex captcha solving, humanlike bezier mouse movements, infinite-scroll scraping, and anti-ban safeguards.

Browser-SkillAnti-BotHumanlike-KineticWeb-Automation
GitHub Stars
70 K+
+12.4% this month
Monthly Downloads
310 K+
Monthly registry pulls
Reach Score
99.4/ 100
Top Tier Ecosystem
Runtime
Cordis v3+
Node 18+ / Bun / Deno

Installation & Integration

CLI one-click launch, package managers, and Cordis integration

bash
manager:
$ pnpm add @tencent/browserskill-agent

Architecture

BrowserSkill conquers adversarial, anti-bot-heavy commercial web properties with computer vision and human-like kinetics. Mainstream automated scrapers relying on deterministic coordinates trigger bot-detection heuristics within seconds. This plugin integrates computer vision segmentation with biomechanically simulated interaction curves. Agents solve slider challenges, mimic natural mouse acceleration profiles, and orchestrate virtualized infinite-scroll tables—empowering enterprise competitive intelligence and automated commercial operations.

Architectural Principles & Constraints

01
Strict Type Isolation

Guaranteed by TypeScript compile-time contracts, inter-plugin event bus calls enjoy zero-drift safety.

02
Sub-Millisecond Hot Reload

Supports dynamic runtime mounting and graceful unloading without restarting the primary host process.

03
Deterministic State Machine

Embeds multi-phase execution lifecycle guards, preventing context loss during long-horizon reasoning.

04
Zero Native Build Dependencies

Designed for lightweight cross-platform environments, booting instantly across Node.js, Bun, and Deno.

Core Features

01
Humanlike Bezier Trajectory Engine: Evades behavioral telemetry by modeling natural kinetics
02
Dual-Modal Vision + DOM Locator: Accurately targets controls even on heavily obfuscated web code
03
Automated Captcha Solver: Resolves slider and jigsaw bot challenges reliably in milliseconds
04
Residential Proxy Pool Integration: Rotates enterprise residential IP proxies seamlessly

Core Workflow

01

Visual Segmentation

Analyzes viewport screenshots with vision models to locate interactive bounding boxes.

02

Kinetic Path Synthesis

Synthesizes randomized Bezier curves mimicking realistic human mouse kinetics.

03

Challenge & Captcha Defense

Solves jigsaw and slider security challenges automatically with precision.

04

Structured Ingestion

Transforms harvested web entities into validated JSON payloads for the agent.

Configuration Parameters Reference (YAML / JSON)

ParameterTypeDefaultDescription
stealthModebooleantrueEnable advanced anti-bot evasion heuristics
proxyServerstring-Upstream proxy server connection string
actionDelayMsnumber800Base randomized delay between kinetic actions (ms)

Use Cases

Enterprise Production Agent

Relies on microkernel lifecycle guards and fault-tolerant state machines for continuous reliability.

SWE-bench Benchmark Evaluation

Native integration with SWE-bench workflows, automatically capturing diffs and verification metrics.

Autonomous Code Refactoring

Separates reasoning from tool actions to independently locate and refactor multi-file codebases.

Cross-Tool Workflow Automation

Safely orchestrates events across sandboxes to seamlessly link enterprise developer tooling.

Best Practices

01
Sandbox Permission Guard

Strictly isolate sub-process calls and network scope; deploy within Docker containers in production.

02
Exponential Backoff Retries

Configure adaptive exponential retries with strict timeouts to mitigate upstream model rate limits.

03
Session State Checkpointing

Persist state machine snapshots to survive hardware interruptions and resume instantly without loss.

04
Full Trajectory Audit Logs

Enable full trace logging, aggregating reasoning thought streams and tool I/O into your observability hub.

FAQ

Q1:How to handle timeouts in long-running autonomous tasks?

Increase the timeout parameter inside your YAML configuration and dispatch periodic heartbeat signals across the Cordis event bus. For long-running tool execution and model reasoning, configure persistent session snapshotting so suspended tasks can safely resume their exact context after interruptions, preventing the kernel from recycling active agent sessions prematurely.

Q2:How to capture and stream the model reasoning thought process?

The harness runtime natively provides end-to-end streaming hooks while its state machine automatically intercepts and strips <think> reasoning tags from model responses. Subscribe directly to the onThink event listener to consume live reasoning token streams in real-time, delivering typewriter animation to the user interface while persisting full trajectories for audit compliance.

Q3:How to resolve dependency conflicts across multiple plugins?

Cordis microkernel uses directed acyclic graph topological sorting to dynamically resolve plugin dependencies. When shared services or runtime versions conflict, assign distinct isolated namespaces at the application entrypoint. Leveraging context injection alongside lazy activation ensures dependencies load strictly on-demand when tools are triggered, maintaining system stability and preventing memory bloat.

Q4:How to enforce permissions and sandbox isolation in production?

Combine isolated container sandboxing with fine-grained capability checks to prevent plugins from accessing sensitive files or unauthorized external networks. Enforce explicit runtime system call whitelisting through the microkernel, executing all third-party tool scripts inside isolated ephemeral containers to block arbitrary code execution and eliminate security privilege escalation risks entirely.

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