Skill audit report
Spots overdue receivables in Xero or Stripe and drafts the chase emails, sorted by how late each invoice is and worded to match a polite escalation ladder. Claude should use this skill when the user asks to "chase overdue invoices", "who owes me money", "AR follow-up", "chase unpaid invoices", "outstanding invoices", "credit control", or wants their accounts receivable followed up. Pulls every figure from Xero or Stripe and drafts each chase in Gmail. Draft-only: the Gmail connector cannot send, so the user reviews and sends every chase.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
24 GitHub stars
Stars/forks activity
FAIL32
24 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
21d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add charlie947/life-automation-skills --skill invoice-chaser
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/charlie947/life-automation-skills/tree/main/skills/invoice-chaser
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add charlie947/life-automation-skills --skill invoice-chaser
Repository
88
https://github.com/charlie947/life-automation-skills/tree/main/skills/invoice-chaser
License
86
MIT
Maintenance
100
21d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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.
Compare nearby options
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16K Stars · Audit report
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
4.8K Stars · Audit report
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
37K Stars · Audit report
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, filesystem or document access
Stars/forks activity
32
24 stars, 5 forks; issue activity unavailable in current metadata
Adoption
42
24 GitHub stars