ClawSecure vs Feynman: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ClawSecure and Feynman — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ClawSecure
ClawSecure
Free OpenClaw security scanner and runtime monitoring platform auditing agent skills with a 3-layer protocol and OWASP ASI Top 10 coverage.
Key features
- 3-Layer Audit Protocol: Multi-stage analysis that inspects code, behavioral patterns, and prompt interactions to detect malicious code, prompt injection, and behavioral threats across skills.
- OWASP ASI Top 10 Coverage: Automated checks mapped to the OWASP ASI Top 10 to identify common agent-specific vulnerabilities and provide standardized findings.
- Pre-install Security Scanner: Scan OpenClaw skills by pasting ClawHub URLs, GitHub links, or package locations to get a security audit before installing or integrating a skill.
- OpenClaw Security Registry: Public registry of audited skills where scanned agents can be published and discovered, enabling trust and provenance for third-party skills.
- AI-Powered Runtime Monitoring: Continuous runtime surveillance of deployed agents with behavioral detection and real-time alerts to catch live threats and anomalous activity.
- AI CISO Security Agent: Autonomous security agent that provides ongoing oversight, automated response suggestions, and policy enforcement for OpenClaw deployments.
- Threat Research & Intelligence: Ongoing vulnerability research and threat analysis derived from thousands of audits, feeding blog reports and security intelligence for teams.
- 3-Layer Audit Protocol for pre-install scanning
- Detection of malicious code and behavioral threats
- Prompt injection detection and mitigation analysis
- Supply chain vulnerability checks
- Full OWASP ASI Top 10 coverage
- Real-time runtime monitoring of deployed agents
- AI-powered monitoring (described as antivirus for agents)
- Public registry of audited OpenClaw skills
- Supports scanning via ClawHub URL or GitHub link
- Threat research and vulnerability intelligence from audits
Best for
- Pre-install Vetting: Scan a third-party OpenClaw skill (via ClawHub URL or GitHub) before installing it into workflows to prevent introducing malicious agents.
- Supply-Chain Risk Assessment: Identify supply-chain and dependency vulnerabilities in agent skills by running OWASP ASI Top 10 checks and code analysis pre-deployment.
- Runtime Threat Detection: Monitor deployed agents in production to detect behavioral anomalies, prompt injection attempts, or malicious runtime actions and trigger alerts.
- Curated Marketplace Building: Maintain a trusted catalog of audited OpenClaw skills for internal teams or public marketplaces using the audited registry.
- Security Research & Incident Response: Leverage ClawSecure's audit corpus and blog intelligence to investigate incidents, produce disclosure reports, and prioritize mitigations.
- CI/CD Integration for Agents: Integrate pre-install scans into development pipelines by scanning GitHub repositories or packages prior to release and deployment.
- Pre-install security auditing of OpenClaw agent skills to prevent installing malicious or vulnerable skills
- Runtime monitoring and protection of deployed AI agents to detect behavioral threats and anomalous activity
- Maintaining a registry of audited skills for secure discovery and distribution within the OpenClaw ecosystem
- Supply chain security assessments for agent dependencies and repositories
- Security research and intelligence generation based on aggregated audit data
Feynman
Companion
Open-source AI research agent that reads papers, ranks literature, drafts research and plans experiments from the terminal or a local workbench.
Key features
- Cited Research Briefs: Asking a research question returns a synthesized brief where each claim is tied to the paper or web source it came from, rather than an unsourced summary.
- PaperRank Scoring: Ranks papers on a topic with transparent evidence for citations, methodology, reproducibility and provenance so reading order is a decision you can inspect.
- Paper Access Resolver: Resolves a single DOI, arXiv ID, OpenAlex ID, PMID, PMCID or title against OpenAlex, arXiv/alphaXiv, DOI and Europe PMC, with optional full-text fetching.
- Local Science Workbench: `feynman serve` opens a standalone app with projects, sessions, chat, notebooks, compute, artifact previews and provenance in one place.
- Claim Auditing and Replication: Compares a paper's stated claims against what its code actually does, and generates replication plans with compute targets and gated experiment steps.
- Local and Hosted Models: Works with hosted providers via OAuth or API key and with local runtimes including LM Studio, Ollama, vLLM and a LiteLLM proxy.
- Skills-Only Install: The research skill library can be installed on its own into Claude, Codex or OpenCode projects without the terminal app or bundled runtime.
- Science Artifacts: Reports, data files, spreadsheets, notebooks, LaTeX, chemistry sketches and genomes are browsable together with versions, lineage and execution logs.
Best for
- Deciding What to Read: Ranking a fresh literature pile on a topic by reproducibility and methodology instead of citation count alone.
- Writing a Literature Review: Producing a review that separates where the field agrees from where questions remain open, with citations attached.
- Verifying a Paper's Claims: Auditing whether the results a paper reports are supported by the code and data it released.
- Planning a Replication: Turning a published finding into a concrete replication plan with a compute target and staged experiment steps.
- Running Deep Research Passes: Launching a multi-agent deep dive on a topic that synthesizes findings and verifies them before reporting.
- Keeping Research Local: Running the whole pipeline against a local model so unpublished work and private data never leave the machine.
- Adding Research Skills to a Coding Agent: Installing the skills bundle into an existing Claude or Codex project to get research workflows without a second app.