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 oyi77/1ai-skills --skill postai-automationgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/postai-automation)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/postai-automation"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/postai-automation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/postai-automation"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/postai-automation.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00038 | $0.03172 |
| Opus 5 | $0.00019 | $0.01586 |
| Sonnet 5 | $0.00008 | $0.00634 |
| Haiku 4.5 | $0.00004 | $0.00317 |
Grade B, and why
postai-automation scanned grade B with 2 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 12d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
resp = requests.post("https://api.postai.ai/v1/video/generate", json=payload, headers=headers) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.post("https://api.postai.ai/v1/video/generate", json=payload, headers=headers) How it starts
The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Postai Automation
When to Use
Trigger phrases:
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"generate product videos from images"
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"create TikTok ads from photos"
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"batch video variants for affiliate marketing"
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"AI voiceover for products"
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"PostAI automation"
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Automating social media posting across platforms
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Scheduling content for multiple accounts
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Cross-posting from one platform to another
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Managing social media automation workflows
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Building social media content pipelines
When NOT to Use
- For one-off tasks that will never repeat
- When the process requires human judgment at every step
- When the cost of automation exceeds the cost of manual execution
Overview
Post AI is a generative video API that transforms product images into TikTok- and Instagram-ready short-form videos with automated captions, voiceovers, and background music. It eliminates the need for video editing software, stock footage sourcing, and manual voice recording by handling the entire production pipeline from static image to finished social media clip.
The core workflow involves uploading one or more product images to the POST AI API, specifying caption text and voice parameters, and receiving a rendered MP4 video optimized for 9:16 vertical format. Each call can generate unique variants with different captions, voices, background tracks, and visual styles — enabling affiliate marketers and e-commerce sellers to create dozens of ad creatives from a single product photo shoot.
Beyond basic video generation, PostAI supports batch processing for multivariate testing. Marketers can generate 10-50 video variants per product in a single automation run, each with different hooks, CTAs, voice accents, and music tracks. The top-performing variants are then pushed to TikTok, Instagram Reels, and Facebook for organic reach or paid amplification.
The automation ecosystem around PostAI includes scheduling via cron or task queues, webhook-based callbacks for generation completion, and integration with social media upload APIs (PostBridge, TikTok Business API, Instagram Graph API) for end-to-end content pipelines. This enables fully unattended content factories that scale from 10 to 1,000 videos per day.
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.
- 12d ago First seen · 263 lines · 38 tokens per session scan B c6389545c431
postai-automation is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 3,172 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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