Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Day1Labs/OpenAva --skill social-post-imagegit clone --depth 1 https://github.com/Day1Labs/OpenAvaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/day1labs/openava/social-post-image)<a href="https://agentmods.dev/skills/day1labs/openava/social-post-image"><img src="https://agentmods.dev/badge/skills/day1labs/openava/social-post-image.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.00355 |
| Opus 5 | $0.00013 | $0.00178 |
| Sonnet 5 | $0.00005 | $0.00071 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
social-post-image scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Social Post Image
Use this skill when the user wants to turn text into social-ready images (text poster/cards), not text-to-image generation from prompts.
What This Skill Does
- Splits long text into multiple pages automatically
- Keeps each page readable with clean typography and spacing
- Renders card-style visuals (notes-like by default)
- Produces output suitable for Xiaohongshu, Twitter/X, and other social sharing scenes
Tool to Use
Call the local tool text_to_social_images.
Required parameter:
text: full source text
Common optional parameters:
title: card title displayed at toptheme:notes|darkwidth: custom pixel widthaspectRatio: e.g.3:4,4:5,16:9maxPages: max number of output images
Workflow
- Clean and lightly edit the user text for readability (fix obvious line-break issues only).
- Pick theme:
notesfor warm, minimal reading cardsdarkfor high-contrast style
- Call
text_to_social_imageswith tuned parameters. - Return the generated image paths/pages clearly.
Guardrails
- Do not invent facts or rewrite meaning.
- Keep output concise and readable; avoid over-decoration.
- If text is too long for requested
maxPages, tell user content was truncated and suggest increasingmaxPages.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 50 lines · 26 tokens per session scan A 1817a5261730
social-post-image is a skill published in the GitHub repository Day1Labs/OpenAva (10 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 355 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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