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 mdbailin/linkedin-content-engine --skill linkedin-auto-postergit clone --depth 1 https://github.com/mdbailin/linkedin-content-engineWrote 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/mdbailin/linkedin-content-engine/linkedin-auto-poster)<a href="https://agentmods.dev/skills/mdbailin/linkedin-content-engine/linkedin-auto-poster"><img src="https://agentmods.dev/badge/skills/mdbailin/linkedin-content-engine/linkedin-auto-poster.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 | $0.00065 | $0.00501 |
| Opus 5 | $0.00032 | $0.00251 |
| Sonnet 5 | $0.00013 | $0.00100 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
linkedin-auto-poster 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 6d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Auto Poster
Create LinkedIn content through a review-first workflow.
Core rule
Never queue, schedule, or publish content unless the user has explicitly approved that publishing action in the current conversation. Saving a Buffer draft is allowed without publishing approval when requested.
Workflow
- Determine output type: text-only, single image, multi-image, or carousel PDF.
- Read the active brand profile with the
read_brand_profileMCP tool when available. - Draft the LinkedIn copy yourself. Do not ask the MCP server to write marketing copy.
- For media posts, create a concise creative brief or slide-by-slide carousel plan.
- Present copy + creative plan for review when the user has not already approved the exact content.
- After content approval, generate media with
generate_creativeif needed. - For carousel posts, build the PDF with
build_carousel_pdf. - Upload required media with
upload_asset. - Default to
save_buffer_draftif the user asks to store/send it to Buffer but has not explicitly instructed you to queue or schedule. - Use
queue_buffer_postorschedule_buffer_postonly after explicit approval and passapproved: true. - Return a compact receipt: workflow ID, Buffer ID/status, asset URLs, and schedule time if applicable.
Batch content
For multiple posts, keep each post as an independent record with:
- topic
- copy status
- creative status
- Buffer status
- planned or scheduled date
Do not let approval of one post implicitly approve other posts.
Writing standards
Read reference/writing-guide.md when drafting or revising copy.
Creative standards
Read reference/creative-guide.md before generating images or carousel slides.
Detailed flow
Read reference/workflow.md for state transitions, approval behavior, and failure recovery.
API/tool details
Read reference/api-contracts.md only when you need provider/tool-specific details.
What ships with it
4 files 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.
- 6d ago First seen · 54 lines · 65 tokens per session scan A 2c43d86a5501
linkedin-auto-poster is a skill published in the GitHub repository mdbailin/linkedin-content-engine (0 stars, last pushed 14d ago), licensed MIT. It adds 65 tokens to every session and 501 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 2026-08-31.
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