ClawHub

UX Research Engine

v1.0.0

Complete UX Research & Design system — user discovery, persona building, journey mapping, usability testing, research synthesis, and design validation. Zero...

⭐ 1· 576·2 current·3 all-time
by@1kalin
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
The name/description promise UX research workflows and the SKILL.md/README contain templates, decision trees, and guidance that match that purpose. There are no unexpected environment variables, binaries, or installs required.
ℹ
Instruction Scope
The runtime instructions are templates and process guidance for planning and running studies; they are broad and expect the agent to consume user-provided research artifacts (notes, transcripts, participant data). This is reasonable for the purpose but means the agent will ask for or process user data — avoid supplying PII/PHI unless you intend to and have proper protections.
✓
Install Mechanism
No install specification and no code files are included (instruction-only). That minimizes disk/write risk; the README's example install command appears informational and is not backed by an install spec in the package.
✓
Credentials
The skill declares no environment variables, credentials, or config paths. There is nothing disproportionate requested relative to the documented functionality.
✓
Persistence & Privilege
always is false and the skill does not request extra system privileges. disable-model-invocation is false (normal) so the agent may call this skill autonomously; that is expected behavior for skills and not by itself a problem.
Assessment
This skill is instruction-only and appears coherent for UX research work. It does not install code or ask for credentials, which reduces risk. Before using it: (1) Do not paste or upload participant PII or PHI unless you have consent and appropriate protections (README mentions healthcare/HIPAA context packs). (2) Review any interview transcripts, screeners, or data you provide to the agent to remove sensitive identifiers. (3) Be cautious if you follow external links in the README (afrexai-cto.github.io/context-packs or clawhub URLs) — those are outside this package and may ask for additional data or downloads. (4) If you plan to use the skill to recruit participants or handle payments, ensure you comply with legal/privacy requirements. Overall this package is coherent and low-risk, but treat user data privacy as your primary operational concern.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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