focus — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited focus (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.
Structured multi-model reasoning via TachiBot.
/focus [query]
/focus [mode] [query]| Mode | Use Case |
|---|---|
deep-reasoning | Complex analysis (default) |
architecture-debate | System design decisions |
research | Information gathering |
analyze | Systematic breakdown |
code-brainstorm | Implementation ideas |
When user invokes /focus:
mcp__tachibot-mcp__focus({
query: "[query]",
mode: "[mode or deep-reasoning]",
models: ["grok", "gemini", "kimi"],
rounds: 3
})/focus how to handle 10k concurrent connections/focus architecture-debate Redis vs Memcached/focus research React 19 new features~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.