Creator Analysis
v1.0.1Analyze creator profiles, content patterns, audience fit, and collaboration quality to support smarter creator decisions. Use when evaluating creators for pa...
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byLeroyCreates@leooooooow
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name and description match the runtime instructions: the skill asks for creator handles, context, content samples and metrics to produce a prioritize/test/monitor/skip decision. There are no unexpected required binaries, environment variables, or config paths.
Instruction Scope
SKILL.md confines the agent to asking for user-provided inputs and evaluating them on defined dimensions (audience relevance, content clarity, proof/trust, conversion potential, operational risk). It does not instruct the agent to read local files, access system environment variables, or call external endpoints. (If the agent is later extended to autonomously fetch profiles, that would be a new scope to review.)
Install Mechanism
No install specification or code files are present; this is instruction-only and nothing will be written to disk or installed by the skill itself.
Credentials
The skill requires no environment variables, credentials, or config paths. The inputs it requests (profile links, content samples, metrics) are appropriate and proportional to the stated task.
Persistence & Privilege
Default invocation settings (not always: true) are used. The skill does not request persistent presence, nor does it instruct modifying other skills or system-wide agent settings.
Assessment
This skill appears coherent and low-risk because it's instruction-only and asks for no credentials or installs. Before using it, avoid pasting private or sensitive data (private DMs, unpublished analytics, account credentials). Provide only public profile links or redacted metrics if you want to reduce exposure. If you expect the agent to fetch public profiles automatically, confirm that behavior first; autonomous web-scraping would expand the skill's scope and should be reviewed. Finally, validate recommendations against real performance data before making spend or contract decisions.Like a lobster shell, security has layers — review code before you run it.
latestvk97a77hh6rgs2rm4y3ppcg2zqh83mm28
License
MIT-0
Free to use, modify, and redistribute. No attribution required.