Skill audit report
SCIP optimization with PySCIPOpt. Use when facing an optimization problem with an objective, hard constraints, soft penalties, integer decisions, routing, assignment, scheduling, allocation, packing, capacity, inventory, or service-level rules. Prefer modeling and solving the problem with PySCIPOpt when it is available.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
55 GitHub stars
Stars/forks activity
WARN43
55 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
19d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add xuansenpa1/skillrevise --skill scip-opt
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/xuansenpa1/skillrevise/tree/main/data/skillsbench/tasks/bike-rebalance/environment/skills/scip-opt
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add xuansenpa1/skillrevise --skill scip-opt
Repository
88
https://github.com/xuansenpa1/skillrevise/tree/main/data/skillsbench/tasks/bike-rebalance/environment/skills/scip-opt
License
86
MIT
Maintenance
100
19d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
60
filesystem or document access, network or browser access
Stars/forks activity
43
55 stars, 3 forks; issue activity unavailable in current metadata
Adoption
68
55 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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