Skill audit report
Serenity-style "Chokepoint Theory" applied to AI supply chains. Identifies physically irreplaceable bottleneck suppliers — small-cap near-monopolies buried 4–7 layers deep — whose capacity constraints force violent repricing when demand outgrows supply. Uses a 5-factor scoring model (Concentration, Irreplaceability, Qualification Gate, Discovery Gap, Demand Tension) to screen and rank candidates. This is AlphaGBM's independent reading of Serenity (@aleabitoreddit)'s publicly shared methodology — NOT affiliated with or endorsed by Serenity. Triggers: "chokepoint analysis", "AI supply chain bottleneck", "find the shiso leaf", "Serenity-style screen", "which small-caps own the bottleneck", "InP substrate play", "co-packaged optics chokepoint", "irreplaceable supplier in AI buildout", "supply chain concentration risk"
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
2.4K GitHub stars
Stars/forks activity
PASS83
2.4K stars, 284 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
4d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add AlphaGBM/skills --skill alphagbm-chokepoint
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-chokepoint
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add AlphaGBM/skills --skill alphagbm-chokepoint
Repository
88
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-chokepoint
License
86
MIT
Maintenance
100
4d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Warnings
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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Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
83
2.4K stars, 284 forks; issue activity unavailable in current metadata
Adoption
88
2.4K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.