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 hyperfx-ai/marketing-skills --skill linkedingit clone --depth 1 https://github.com/hyperfx-ai/marketing-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/hyperfx-ai/marketing-skills/linkedin)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/linkedin"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/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/hyperfx-ai/marketing-skills/linkedin"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/linkedin.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 | $0.00085 | $0.01525 |
| Opus 5.5 | $0.00034 | $0.00610 |
| Sonnet 5.5 | $0.00017 | $0.00305 |
| Haiku 4.5 | $0.00009 | $0.00153 |
Grade A, and why
linkedin 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 1mo 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill for publishing to LinkedIn through the LinkedIn integration exposed by the Hyper MCP.
Out of scope — defer to other skills
| Request | Send them to |
|---|---|
| Instagram post / Reel / Story | instagram |
| TikTok organic posting | tiktok |
| TikTok ad campaign | tiktok-ads |
| Meta (Facebook / Instagram) ads | meta-ads |
| Google Ads campaign | google-ads |
| Amazon Sponsored Products campaign | amazon-ads |
Requirements
- Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
- LinkedIn integration connected at https://app.hyperfx.ai/apps.
- For company-page posts, the connected member account must have permission to post for that organization.
If search("linkedin_text_posts_create") does not find linkedin_text_posts_create, stop and tell the user to enable Hyper MCP and connect LinkedIn.
How to run the tools in this skill
Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:
| Surface | Find a tool | Run it |
|---|---|---|
| MCP client (Claude, Cursor, Codex, ChatGPT) | search("<what you want to do>"), then describe("<name>") |
call("<name>", {...}) |
| Hyper CLI | hyperai search "<what you want to do>", then hyperai describe <name> |
hyperai call <name> --json '{...}' |
If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect.
Tool surface
| Tool | Purpose |
|---|---|
linkedin_text_posts_create |
Standard member or organization text post; also article / link posts via the article fields. |
linkedin_organization_posts_create |
Post explicitly as a company page (when you already know organization_id). |
linkedin_document_posts_create |
PDF / document post — LinkedIn renders pages as a swipeable document. |
linkedin_carousels_create_from_text |
AI text-to-carousel pipeline — generates slides + assembles a PDF + publishes as a document post. |
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.
- 1mo ago Changed · +11 lines 971075afd771
- 1mo ago First seen · 144 lines · 85 tokens per session scan A db7e4ade4ea5
linkedin is a skill published in the GitHub repository hyperfx-ai/marketing-skills (108 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 1,525 once invoked, about $0.0003 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 2026-08-30.
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