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 dalroot/agentic-seo --skill linkedingit clone --depth 1 https://github.com/dalroot/agentic-seoWrote 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/dalroot/agentic-seo/linkedin)<a href="https://agentmods.dev/skills/dalroot/agentic-seo/linkedin"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/linkedin/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/dalroot/agentic-seo/linkedin"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/linkedin.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 | $0.00107 | $0.02834 |
| Opus 5.5 | $0.00043 | $0.01134 |
| Sonnet 5.5 | $0.00021 | $0.00567 |
| Haiku 4.5 | $0.00011 | $0.00283 |
Grade A, and why
linkedin-posts 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 today.
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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platforms: LinkedIn
Guides LinkedIn post copy creation and optimization. Use for generating publish-ready professional content. Suitable for copy agents and design agents (image specs).
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Output: Publish-Ready Copy
This skill enables agents to generate LinkedIn post copy optimized for engagement. Output includes character-counted text and structure for the "See more" threshold.
Post Types and Entry Points (organic)
| Kind | What to know |
|---|---|
| Start a post | Short update; can include link preview if you paste a URL. Same feed format as other updates. |
| Photo | Single or multiple images (carousel in feed). |
| Video | Uploaded file (distinct from LinkedIn Live, which is live streaming and has separate gating). |
| Write article | Article = long-form editor, separate from the short post box; long URL, better for depth and some off-site discoverability. |
| Document | PDF / PPT / DOC (slides in feed). Official limits (check current help): on the order of ~100MB / ~300 pages per file—verify when publishing. |
| Poll | Engagement driver; keep question and options scannable. |
| More (menu) | Often includes celebrations, hiring-style share, Find an expert, etc. (varies by product/region). |
| Reshare | Reshare or quote another member’s post with your take—adds context; avoid empty reshares. |
| Newsletter | Series subscription; not the same as a one-off post but compound reach over time. |
| Event | Create/promote events via a dedicated flow, not the same as a plain text post. |
Product detail: Get started with posting on LinkedIn · Upload and share documents
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.
- today First seen · 180 lines · 107 tokens per session scan A c7c5a88dbd05
linkedin-posts is a skill published in the GitHub repository dalroot/agentic-seo (25 stars, last pushed 6d ago), licensed MIT. It adds 107 tokens to every session and 2,834 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-26.
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