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 ob-labs/agentseek --skill social-mediagit clone --depth 1 https://github.com/ob-labs/agentseekWrote 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/ob-labs/agentseek/social-media)<a href="https://agentmods.dev/skills/ob-labs/agentseek/social-media"><img src="https://agentmods.dev/badge/skills/ob-labs/agentseek/social-media/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/ob-labs/agentseek/social-media"><img src="https://agentmods.dev/badge/skills/ob-labs/agentseek/social-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.01041 |
| Opus 5 | $0.00029 | $0.00521 |
| Sonnet 5 | $0.00012 | $0.00208 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
social-media 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Content Skill
Research First (Required)
Before writing any social media content, you MUST delegate research:
- Use the
tasktool withsubagent_type: "researcher" - In the description, specify BOTH the topic AND where to save:
task(
subagent_type="researcher",
description="Research [TOPIC]. Save findings to research/[slug].md"
)
- After research completes, read the findings file before writing
Output Structure (Required)
Every social media post MUST have both content AND an image:
LinkedIn posts:
linkedin/
└── <slug>/
├── post.md # The post content
└── image.png # REQUIRED: Generated visual
Twitter/X threads:
tweets/
└── <slug>/
├── thread.md # The thread content
└── image.png # REQUIRED: Generated visual
You MUST complete both steps:
- Write the content to the appropriate path
- Generate an image using
generate_social_imageand save alongside the post
A social media post is NOT complete without its image.
Platform Guidelines
Format:
- 1,300 character limit (show more after ~210 chars)
- First line is crucial - make it hook
- Use line breaks for readability
- 3-5 hashtags at the end
Tone:
- Professional but personal
- Share insights and learnings
- Ask questions to drive engagement
- Use "I" and share experiences
Structure:
[Hook - 1 compelling line]
[Empty line]
[Context - why this matters]
[Empty line]
[Main insight - 2-3 short paragraphs]
[Empty line]
[Call to action or question]
#hashtag1 #hashtag2 #hashtag3
Twitter/X
Format:
- 280 character limit per tweet
- Threads for longer content (use 1/thread format)
- No more than 2 hashtags per tweet
Thread Structure:
1/ [Hook - the main insight]
2/ [Supporting point 1]
3/ [Supporting point 2]
4/ [Example or evidence]
5/ [Conclusion + CTA]
Image Generation
Every social media post needs an eye-catching image. Use the generate_social_image tool:
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.
- 11d ago First seen · 171 lines · 58 tokens per session scan A 651976919635
social-media is a skill published in the GitHub repository ob-labs/agentseek (176 stars, last pushed 9d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,041 once invoked, about $0.0003 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 2026-08-30.
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