generate — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited generate (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 provides a theme and asks for content. Supports multiple formats.
Trigger patterns:
| Format | Target | Key Reference |
|---|---|---|
linkedin (default) | 800-1200 characters, 3 angles | references/linkedin-practices.md |
newsletter | 1500-3000 words, 3 angle variants | references/newsletter-practices.md |
twitter | 7-10 tweets, 280 chars each, 3 angle variants | references/twitter-practices.md |
carousel | 5-10 slides, 1 point per slide | references/carousel-practices.md |
all | Newsletter first (pillar), then run skills/distribute/SKILL.md | references/format-adaptation-matrix.md |
references/generation-angles.mdreferences/linkedin-practices.mdreferences/newsletter-practices.md + experts/ogilvy-headlines.md + experts/brunson-storytelling.mdreferences/twitter-practices.mdreferences/carousel-practices.mdreferences/format-adaptation-matrix.md + references/newsletter-practices.md (start with pillar)references/rubber-duck-escalator.mdRead data/brain/pmm_brain.json and extract:
synthesized_mental_models, argumentation_playbook, insight_generation_patternsvoice_profile_sourav (differentiators, forbidden_patterns, visual_signature)quality_bar_examplesFor each angle (contrarian, framework, story), generate in the target format:
LinkedIn (default):
references/generation-angles.mdreferences/linkedin-practices.mdNewsletter:
references/newsletter-practices.md structure (opening → bridge → deep section → practitioner callout → landing → P.S.)experts/brunson-storytelling.md) for story-led anglesTwitter/X:
references/twitter-practices.md)Carousel:
references/carousel-practices.mdAll formats:
skills/distribute/SKILL.md to atomize into LinkedIn + Twitter + CarouselRun all 5 phases from references/rubber-duck-escalator.md:
For each draft that passes (or after max iterations):
LinkedIn framework posts: If the post contains a framework, matrix, comparison, progression, or structural concept → follow skills/visual/SKILL.md to produce a visual brief and image.
Carousel format: Generate visual brief for all slides using carousel-practices.md design rules. Produce Pillow-based images.
Newsletter: No visual unless explicitly requested.
Twitter: No visual (text-only threads perform best).
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ANGLE 1: CONTRARIAN REFRAME
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[Draft text]
SCORECARD
Mirror: 8 | Probe: 9 | Challenge: 8 | Illuminate: 8 | Crystallize: 9
Composite: 8.4 | Status: PASS
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ANGLE 2: FRAMEWORK / MENTAL MODEL
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[Draft text]
SCORECARD
Mirror: 8 | Probe: 8 | Challenge: 9 | Illuminate: 8 | Crystallize: 8
Composite: 8.2 | Status: PASS
VISUAL BRIEF
Layout: [Pattern]
Title: [Header]
[Sections with colors]
[Generated image]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━See also: skills/research/ (runs before generate) → skills/critique/ (runs after generate) → skills/distribute/ (atomizes pillar output)
See also: skills/research/ (runs before generate) → skills/critique/ (Rubber Duck gate) → skills/distribute/ (atomize to other formats) | skills/_index.md for full data flow
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.