revenue-model-design
Design a revenue model for a solopreneur business — how money flows in, from whom, and on what cadence. Use when deciding how to monetize a product or service, choosing between revenue streams, structuring recurring vs one-time income, or diversifying revenue. Covers all major revenue model types, selection criteria, revenue stream stacking, and the relationship between revenue model and product design. Trigger on "how will I make money", "revenue model", "monetization strategy", "revenue streams", "recurring revenue", "how to monetize", "business revenue model", "diversify income".
Source-aware scan found higher-privilege capability areas (email), but that alone is not evidence of malicious behavior.
✉️ Quick review
No runtime postcard yet for this skill. Static evidence is available below, but the runtime lane has not touched it yet.
Before you install
- You are specifically looking for ai-and-llms / awesome-index workflows.
- Expect setup work: this skill references 12 env vars.
- Assume outside service calls are part of the story: 1 external domain reference showed up.
- Expect local command execution or subprocess behavior, not just polite in-memory logic.
- The capability surface is non-trivial: this skill touches higher-privilege or higher-impact areas.
- No runtime verdict yet, so you are leaning harder on static evidence and documentation quality.
Why this label
This landed in Insufficient Evidence because the imported entry still does not have enough direct proof to justify a stronger trust call.
Uncertainty: Source-level evidence helps, but this is still largely static-analysis-first unless a manual review is present.
Capability surface and suspicious signals
Capability surface
These increase access or impact, but they are not the same thing as deceptive or malicious behavior.
Capability summary
+ 2 more
Suspicious behaviors
These are the signals that count much more heavily against the score.
Evidence
+ 9 more
Read this section in two layers: capability surface shows what the skill can touch, while suspicious signals show what looks deceptive or riskier than ordinary integrations.
🧪 Technical runtime details
No runtime suite recorded yet for this skill.
Publisher and provenance
Listed in the VoltAgent awesome-openclaw-skills catalog under Ai And Llms and lightly source-scanned from openclaw/skills. This is stronger evidence than catalog metadata alone, but still not a full runtime audit.
Source type: awesome-index
Source path: https://github.com/openclaw/skills/tree/main/skills/jk-0001/revenue-model-design/SKILL.md
Source URL: https://github.com/openclaw/skills/tree/main/skills/jk-0001/revenue-model-design/SKILL.md
Discovery category: Ai And Llms
Manual review
No human review yet. The scorecard is currently static-analysis-first.
Community signals
Community signals
These are community attention markers, not crowd-sourced truth. Click what feels especially worth flagging or reviewing.
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