Skill audit report
cold-start-problem Audit report.
Start and scale networked products using Andrew Chen''s "The Cold Start Problem" framework for network effects. Use when the user mentions "network effects", "chicken and egg", "cold start", "two-sided marketplace", "atomic network", "hard side", "liquidity", "critical mass", "invite-only launch", "how do I get my first users", or "the marketplace has no buyers or sellers". Also trigger when launching a marketplace, social, or collaboration product that is worthless without other users, deciding launch sequencing and seeding tactics, or diagnosing stalled network growth at scale. Covers the five stages: cold start, tipping point, escape velocity, hitting the ceiling, and the moat. For word-of-mouth virality, see contagious. For habit-driven retention, see hooked-ux.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
2.1K GitHub stars
Stars/forks activity
INFO77
2.1K stars, 215 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add wondelai/skills --skill cold-start-problem
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/wondelai/skills/tree/main/cold-start-problem
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add wondelai/skills --skill cold-start-problem
Repository
88
https://github.com/wondelai/skills/tree/main/cold-start-problem
License
86
MIT
Maintenance
88
2mo since push
AI review
55
SKILL.md lacks an explicit 'Limitations' or 'When not to use' section, so safe operating boundaries are not fully documented.
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
Stars/forks activity
77
2.1K stars, 215 forks; issue activity unavailable in current metadata
Adoption
88
2.1K GitHub stars
Financial decision safety
20
Potential execution surface detected; do not connect live broker, exchange, wallet, or payment credentials.
Warnings
- Financial research output is not financial advice; require human review before any live investment decision
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- SKILL.md lacks an explicit 'Limitations' or 'When not to use' section, so safe operating boundaries are not fully documented.
- The documented workflow is mostly a scoring rubric; a more explicit step-by-step usage flow would make agent execution more predictable.
- Financial research output is not financial advice; require human review before any live investment decision.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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