logic-organizer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited logic-organizer (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Analyze input text to identify:
Build hierarchy according to the following priority:
Level 1: Core Proposition (core question or central argument that must be answered)
└── Level 2: Key Dimensions (main aspects supporting the core proposition)
└── Level 3: Specific Points (core arguments under each dimension)
└── Level 4: Supporting Details (data, cases, quotes)Organization Principles:
Optimize text at each hierarchy level:
| Optimization Dimension | Operation | Example |
|---|---|---|
| Remove redundancy | Delete weakening words like "I think," "possibly," "to some extent" | "Possibly effective" → "Effective" |
| Remove duplication | Merge similar statements, keep most precise version | Unify terminology for same concept mentioned multiple times |
| Remove noise | Delete transitional greetings, format markers, irrelevant emojis | Keep pure semantic content |
| Supplement logic | Add implicit causal, conditional, comparative relationships | "A happens, B happens" → "A happens, therefore B happens" |
| Standardize | Unify terminology, tense, person, format | Use third-person objective narrative throughout |
Output Specifications:
Original Input:
Hmm, regarding the development of artificial intelligence, I think it's developing quite fast now, but there are some issues that also need attention. For example, the issue of data privacy, everyone is quite concerned about this, and then there's algorithm bias, which is also quite important. Additionally, I think ethical issues should also be considered, although this might be somewhat abstract, but it's still quite critical. By the way, there's also the employment impact, which everyone is very worried about. In summary, AI development is a good thing, but these issues need attention.
Organized Output:
'assets/Artificial Intelligence.dot'
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.