Social Proof Optimizer
v1.0.0Optimize social proof strategy using uncertainty and similarity conditions. Use this skill when designing testimonials, reviews, user counts, case studies, s...
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byHung Quoc To@quochungto
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (social-proof optimization, audit and design) match the SKILL.md instructions. The skill only asks for marketing assets, landing-page copy, testimonial inventories, and audience context — all proportional to its stated purpose.
Instruction Scope
Runtime instructions are an explicit, stepwise marketing audit/design workflow (assess uncertainty, similarity, authenticity rubric, etc.). They instruct the agent to read marketing/campaign documents and ask clarifying questions when context is missing, which is expected for this skill and not overly broad.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written by an installer, so there is low install risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does request Read/Write tools (document access) which are appropriate for a copy- and asset-focused skill.
Persistence & Privilege
always is false and there is no indication the skill attempts to modify other skills or system-wide settings. Agent autonomous invocation is enabled by default but not combined with other concerning privileges.
Assessment
This skill appears coherent and low-risk from a technical standpoint: it is instruction-only, requests no secrets, and only needs access to marketing assets (landing pages, testimonials, campaign copy). Before installing, consider: (1) ethical and legal limits — the skill explicitly discusses manufactured social proof and FTC rules; do not use it to create deceptive or undisclosed paid/incentivized testimonials; (2) least-privilege access — grant the agent only the documents it needs rather than broad filesystem or network access; (3) human review — have a human reviewer approve persuasive copy and any claims about typical results before publishing; and (4) autonomy policy — if you do not want the agent to act without human approval, restrict autonomous publishing or model invocation in the environment. If you want higher assurance, inspect logs/output samples or run the SKILL.md steps interactively with a test document first.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.
Runtime requirements
📚 Clawdis