ClawHub

Accounts Receivable Automation Video

v1.0.0

Creates concise platform demo and testimonial videos showcasing accounts receivable automation accuracy, compliance, and finance team productivity improvements.

⭐ 0· 14·0 current·0 all-time
by@nemovideonemo
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description match the SKILL.md: the skill's goal is to create short demo and testimonial videos about accounts-receivable automation using accuracy, compliance, processing-time, and testimonial data. There are no unrelated requirements (no credentials, binaries, or config paths) that would be disproportionate to that purpose.
✓
Instruction Scope
SKILL.md contains only high-level instructions guiding the agent to turn provided metrics, compliance credentials, and testimonials into clips. It does not instruct the agent to read system files, access environment variables, call external endpoints, or exfiltrate data beyond using user-provided inputs.
✓
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be downloaded or written to disk by an installer, so install risk is minimal.
✓
Credentials
The skill declares no environment variables, credentials, or config paths. That is proportionate for a video/content generation assistant which only needs user-provided metrics/testimonials.
✓
Persistence & Privilege
The skill is not marked always:true and uses normal autonomous-invocation defaults. It does not request persistent system privileges or to modify other skills or system-wide agent settings.
Assessment
This skill appears coherent and low-risk because it only contains instructions for producing videos from user-provided data and has no installs or credential requests. Before using it, avoid pasting sensitive customer PII, financial account numbers, or authentication tokens into prompts; redact or anonymize customer-identifying data and confidential invoices. Because the skill source and homepage are unknown, treat it as unverified content: review generated scripts and claims for accuracy and regulatory/compliance language before publishing, and perform a test run with non-sensitive/example data first.

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

latestvk97fj67f420zr316kahchev9b1849jvz

License

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

Comments