Hacktron vs Skippr AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hacktron and Skippr AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Hacktron
Hacktron AI
An AI security engineer that reviews every pull request, traces exploitable vulnerabilities and proves them with a working exploit before code ships.
Key features
- Exploit-Proven PR Review: Reviews every pull and merge request on GitHub, GitLab or Bitbucket and only reports a finding when it can attach a working exploit demonstrating real impact.
- Attacker-Path Taint Tracing: Indexes the codebase and traces tainted input through call paths to determine what an attacker can actually reach, rather than pattern-matching on syntax.
- Fix with AI in the Thread: Delivers a remediation prompt and suggested diff inside the pull request comment so the fix happens where the review already is.
- Security Automations: Set trigger conditions once and Hacktron verifies, fixes and tests every matching finding, then notifies the team in Slack or email.
- Whitebox Pentests: Launches a full-scope assessment that deploys a sandbox, builds a call graph, maps the attack surface and validates exploits, delivering an audit-ready SOC 2 or ISO 27001 report in hours instead of weeks.
- Versioned Project Rules: A .hacktron/rules.md file lives and versions with your code, encoding which paths are high risk and which findings to suppress, cutting false positives without going blind to real bugs.
- Threat Models from Your Documents: Upload architecture notes, security policies or past pentest reports and Hacktron builds and updates a versioned threat model for the application.
- Triage as Training: Every finding you accept, dismiss or downgrade teaches the system that codebase's threat model, so reviews sharpen the longer it stays embedded.
- MCP and REST API Access: Pull findings into Cursor, Claude Code or Codex over MCP to analyse and fix, or build custom workflows on the REST API, plus Jira and Linear ticket creation.
Best for
- Pre-Merge Vulnerability Gating: Catching an IDOR or injection introduced by a pull request before it reaches production, with the exploit attached so nobody debates severity.
- Replacing Annual Pentests: Running continuous whitebox assessments instead of relying on a once-a-year engagement that misses everything shipped in between.
- SOC 2 and ISO 27001 Evidence: Producing an audit-ready penetration test report in hours to satisfy a compliance deadline or a customer security review.
- Cutting Scanner Alert Fatigue: Replacing a noisy SAST queue with findings that come with proof, so the security team spends its time on real issues.
- Scaling a Small Security Team: Giving one or two security engineers coverage across every repository and every developer's pull requests.
- Dependency Supply-Chain Checks: Scanning a lock file for malicious packages before they land in the build.
- Fixing Findings from Your Editor: Pulling confirmed vulnerabilities into Claude Code or Cursor over MCP and remediating them without leaving the IDE.
Skippr AI
Skippr
Embeddable real-time voice AI agent that onboards, activates, and unblocks users inside your product with two lines of code.
Key features
- Two-line SDK Embed: Drop a script tag into your app and initialize with a public key to give every user a live voice agent — no rebuild or migration.
- Live Voice + Screen Sessions: Personalized 1:1 sessions that adapt to where each user is in the product and what they're trying to do.
- Click-for-you Automation: Skippr takes the pointer and completes multi-screen flows (form-fills, checkout, verification) with the user in the loop at every step.
- API / MCP Operation: Runs product actions through your API or MCP server directly, not just the UI, so tasks complete much faster than pure UI automation.
- Meeting-room Mode: Joins customer video calls to co-demo features and back SDRs / solutions engineers in real time.
- Human-in-the-loop Controls: Your team can listen, take over, or escalate any session; per-persona guardrails, approval flows, and stop-words.
- Buddy UI: A draggable on-screen character (twenty faces, three styles, themable to your brand) users can talk to face-to-face and dismiss.
- Session Analytics & Follow-ups: Every session ships with a transcript, replay, and structured outcome; Skippr drafts CSM follow-ups automatically.
Best for
- In-Product Onboarding: SaaS teams give each new user a live voice agent that walks them through activation, lifting first-week activation ~41%.
- Live Product Demos on Marketing Sites: Prospects click 'demo' and get an interactive voice walkthrough that drives trial-to-paid conversion.
- AI-augmented Solutions Engineering: SE and SDR teams bring Skippr into customer calls to demo live and answer product questions on the spot.
- Customer Support Deflection: The embedded agent unblocks users on complex flows (KYC, checkout, plan compare) without escalating to a human.
- Internal Enablement: CS, CX and SDR teams get on-demand product answers and can run real flows without waiting for training.
- Employee Onboarding to an AI-native Stack (roadmap): Desktop mode onboards and reskills staff across the tools they use every day.