suggest-themes — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited suggest-themes (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.
User asks "what should I write about?" or requests theme suggestions.
data/brain/pmm_brain.json:pmm_value_landscape (contested + emerging beliefs = highest-value territory)newsletter_insights (what's being discussed right now)synthesized_mental_models (where user has depth)Use WebSearch to check:
At least 1 suggestion MUST come from the ai_impact_on_pmm topic depth layer — specifically from first_mover_angles or sourav_real_use_cases. This builds Sourav's positioning as the first-mover on AI implementation in PMM (real workflows, not hype).
Each suggestion includes:
User picks one or provides their own theme.
━━━━ THEME SUGGESTIONS ━━━━
1. [Theme Name]
Why now: [timeliness signal]
Why you: [unique authority]
Engagement: [type]
Angles: C: [contrarian] | F: [framework] | S: [story]
2. ...
Pick a number, or tell me your own theme.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.