Skill audit report
Expert sales execution covering pipeline management, discovery, demos, negotiation, and deal closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
91 GitHub stars
Stars/forks activity
WARN48
91 stars, 23 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
MIT + Commons Clause
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add aAAaqwq/AGI-Super-Team --skill account-executive
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/account-executive
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add aAAaqwq/AGI-Super-Team --skill account-executive
Repository
88
https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/account-executive
License
86
MIT + Commons Clause
Maintenance
100
10d since push
AI review
55
The qualification scorecard in SKILL.md uses a 1-5 scale per criterion (total /30), while deal_scorer.py uses a 0-10 scale per dimension (total /100). This inconsistency may confuse users.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
48
91 stars, 23 forks; issue activity unavailable in current metadata
Adoption
68
91 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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