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 m3taz-ahmed/ai-globals --skill linkedin-platformgit clone --depth 1 https://github.com/m3taz-ahmed/ai-globalsWrote 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/m3taz-ahmed/ai-globals/linkedin-platform)<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/linkedin-platform"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/linkedin-platform/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/m3taz-ahmed/ai-globals/linkedin-platform"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/linkedin-platform.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 | $0.00032 | $0.01839 |
| Opus 5 | $0.00016 | $0.00920 |
| Sonnet 5 | $0.00006 | $0.00368 |
| Haiku 4.5 | $0.00003 | $0.00184 |
Grade A, and why
linkedin-platform 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Platform Skill
Overview
This skill provides AI agents with LinkedIn automation capabilities through the
octopus-linkedin MCP server. It follows a governed workflow:
draft → review → approve → publish → comment → analyze
Drafting and approval are local-only — they never touch LinkedIn. The
publish_draft tool is the single gate that sends content out, and it refuses
to publish unapproved drafts.
Prerequisites
- LinkedIn Developer App — create at https://www.linkedin.com/developers/apps/new
- Products enabled: Share on LinkedIn, Sign In with LinkedIn (OpenID Connect)
- Access token — generate via
octopus-linkedin authorizeor the Token Generator - Token storage —
site-packages/token.json(local, never committed) - Scopes:
r_liteprofile,w_member_social,r_member_social
MCP Tools (18 total)
Profile (read-only)
| Tool | Description |
|---|---|
linkedin_get_profile |
Get authenticated user's profile (name, headline, email) |
Direct posting
| Tool | Description |
|---|---|
linkedin_create_post |
Publish a text post (text, visibility=PUBLIC|CONNECTIONS) |
linkedin_share_link |
Publish a post with URL preview card (text, url) |
linkedin_share_image |
Publish a post with one local image (text, image_path) |
linkedin_delete_post |
Delete a post by URN |
Draft workflow (governed)
| Tool | Sends to LinkedIn? | Description |
|---|---|---|
linkedin_create_draft |
⬜ local | Save a draft (text, kind=text|link|image) |
linkedin_list_drafts |
⬜ local | List drafts, optionally by status |
linkedin_get_draft |
⬜ local | Read one draft by ID |
linkedin_update_draft |
⬜ local | Edit a draft (resets approval) |
linkedin_approve_draft |
⬜ local | The review gate — approve before publishing |
linkedin_delete_draft |
⬜ local | Delete a draft |
linkedin_schedule_draft |
⬜ local | Schedule an approved draft (ISO 8601 datetime) |
linkedin_unschedule_draft |
⬜ local | Clear a draft's scheduled time |
linkedin_publish_draft |
✅ | Publish an approved draft now |
linkedin_publish_due |
✅ | Publish all approved drafts whose time has come |
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 · 215 lines · 32 tokens per session scan A 1d222d20574c
linkedin-platform is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 1,839 once invoked, about $0.0002 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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