ClawPanel

Evidence shows: README mentions AI assistant with 8 tools and 4 modes, and test files show media generation tools (generate_image, create_video_task) are marked as DANGEROUS_TOOLS and forced confirmation, independent of confirmDanger switch, indicating user confirmation mechanism. However, there is no systematic description of least privilege, such as Tauri permission configuration. Data flow transparency is insufficient; no explanation of how API keys are stored and transmitted. Sensitive data handling only mentions API keys stored in local openclaw.json, but no encryption measures. Dependency security: package.json lists dependencies but no vulnerability scanning or lock file evidence. External effects: README mentions one-click install script and Docker commands, but no security review. Rollback mechanism not mentioned. Source attribution: README and LICENSE clarify copyright and trademarks, but no detailed contributor guide. Deductions: least privilege, data flow transparency, sensitive data handling, dependency security, external effects, rollback lack sufficient evidence.

Evidence shows: README feature list aligns with test files covering channels (Telegram, WhatsApp, ClickClack, Nextcloud Talk, Twitch, Nostr, IRC), showing good self-consistency. Dependency availability: package.json lists dependencies but no lock file or version pinning evidence, and Docker install uses npm install instead of npm ci, introducing uncertainty. Failure messages: test files show diagnostic functions (buildOpenClawChannelDiagnosis) check credentials and return error details, but no documentation on how UI presents these errors. Deductions: dependency availability lacks lock evidence, failure messages only in tests, not documented.

Evidence shows: README targets beginners and experts, provides desktop and web versions, supports multiple platforms (Windows, macOS, Linux) and embedded devices (Orange Pi, Raspberry Pi), covering broad scenarios. Capability boundaries: README lists features but does not clearly define AI assistant's specific capability boundaries and limitations. Trigger precision: test files show media tools are disabled by default and require explicit enabling, but no description of other tools' trigger conditions. Environment fit: README provides Node.js version requirements (18+, recommended 22.19.0+) and Docker deployment, but no detailed Tauri environment requirements. Deductions: capability boundaries and trigger precision insufficiently described.

Evidence shows: README has clear structure with sections for features, installation, build, related projects, indicating good information architecture. Install notes are detailed, providing download center, Docker, source build options. Naming stability: project name and version are clear in package.json, but no naming convention documentation. Examples and FAQ: README provides quick start steps, but no FAQ or common issues. Known limitations: README does not explicitly list known limitations. License: LICENSE file contains AGPL-3.0 and additional terms, package.json license field is AGPL-3.0, README badge shows AGPL-3.0, consistent. Versioning and changelog: package.json has version, but no CHANGELOG file. Maintenance responsibility: README provides contact email and support, but no explicit maintainer identity. Deductions: missing FAQ, known limitations, CHANGELOG, and explicit maintainer info.

Evidence shows: Output usability: README describes rich features but no actual output examples or screenshots (except showcase image). Marginal value: project provides multi-engine management and AI assistant, offering differentiated value. Cost-benefit: project is open source, but no performance or resource usage data. Deductions: output usability lacks concrete examples, cost-benefit lacks data support.

Evidence shows: README feature claims partially correspond to test files, but no traceable links or evidence. Cross-source corroboration: README and test files corroborate each other, but lack third-party verification. Fact-inference separation: README claims are mostly assertions, not distinguishing facts and inferences. Deductions: claims lack traceability, cross-source corroboration limited, fact-inference not clearly separated.