anycap-social-meme-workflows — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited anycap-social-meme-workflows (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.
Use this skill when the output needs to feel like a meme, captioned social post, or reaction visual, but still has to be reproducible.
Do not rely on image generation alone for exact caption text. Use AnyCap to create or edit the base visual, then render the final caption locally so the text is exact.
Read these files before acting:
For detailed CLI syntax, authentication, and capability reference, use the anycap-cli skill.
Use this skill for:
Do not use this skill for:
Split the task into two layers:
Why:
graph LR
A[Classify request] --> B[Choose model]
B --> C[Generate or edit base visual with AnyCap]
C --> D[Overlay exact text locally]
D --> E[QA readability and punchline]
E --> F[Deliver locally, via Drive, or via Page]Choose one workflow first:
For funny meme drawings, default to one of these repeatable presets:
Default mapping:
Always inspect the model list or schema if the workflow is unclear:
anycap image models
anycap image models nano-banana-2 schemaText-to-image example:
anycap image generate \
--model seedream-5 \
--prompt "reaction-image style visual, exaggerated expression, blank top and bottom safe space for meme caption, high contrast, clean composition" \
--param aspect_ratio=1:1 \
--param resolution=2k \
-o meme-base.pngImage-to-image example:
anycap image generate \
--model nano-banana-pro \
--mode image-to-image \
--prompt "turn this into a sharper reaction meme image, preserve the subject, simplify background, leave clear safe space for top and bottom caption" \
--param images=./source.png \
--param aspect_ratio=1:1 \
--param resolution=2k \
-o meme-remix-base.pngPrompt for negative space explicitly. Ask for "blank caption-safe area", "clean top band", or "empty bottom margin" instead of asking the model to write the exact meme text.
Funny meme drawings example with Nano Banana 2:
anycap image generate \
--model nano-banana-2 \
--prompt "funny meme drawing, crude but charming internet doodle style, exhausted office goblin melting into an office chair while holding a tiny coffee cup, absurd tiny-problem energy, wildly exaggerated defeated expression, messy desk chaos without readable screens, thick sketch lines, off-white paper texture, muted green accents, obvious blank space for optional caption, no words, no letters, no watermark" \
--param aspect_ratio=4:3 \
--param resolution=2k \
-o funny-meme-drawing.pngFor funny meme drawings, the caption is optional. If the humor already lands through the drawing alone, you can deliver the image as-is. If the joke needs exact wording, add the caption locally afterward.
Preferred order:
If no local renderer is available, create a simple SVG with:
Check:
If needed, use AnyCap image reading to inspect the result:
anycap actions image-read \
--file ./final-meme.png \
--instruction "Read the visible text and describe whether the caption is easy to read at small size."This skill supports workflow-led articles better than template-library articles.
Good article angles:
Bad article angles:
A good run should usually produce:
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.