linkedin-post-analytics

linkedin-post-analytics is a skill for Claude Code from tmargolis/career-navigator. It costs 39 tokens per session (1,363 once invoked), scanned A, original, Apache-2.0.

A read-only tool that copies analytics from your own LinkedIn posts into a networking record. LinkedIn is a professional social network, and post analytics describe how your posts performed.

In plain words
What is it for?
Use it to record LinkedIn post analytics for networking review or scheduled tracking.
Why use it?
It gives you a saved history of post performance without manually transferring the numbers. It requires approved browser access and an already signed-in LinkedIn account.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the career-navigator plugin — 46 skills, 3 MCP servers shipped together

Install

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.

agentmods
npx agentmods add skills/tmargolis/career-navigator/linkedin-post-analytics
Any agent
npx skills add tmargolis/career-navigator --skill linkedin-post-analytics
Clone the repo
git clone --depth 1 https://github.com/tmargolis/career-navigator

Made for: Claude Code.

Or install career-navigator, the plugin that ships this one along with the rest of its 46 skills, 3 MCP servers.

Wrote 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.

agentmods badge for linkedin-post-analytics

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmargolis/career-navigator/linkedin-post-analytics.svg)](https://agentmods.dev/skills/tmargolis/career-navigator/linkedin-post-analytics)
Your own site
<a href="https://agentmods.dev/skills/tmargolis/career-navigator/linkedin-post-analytics"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/linkedin-post-analytics.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,363 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.01363
Opus 5 $0.00019 $0.00681
Sonnet 5 $0.00008 $0.00273
Haiku 4.5 $0.00004 $0.00136

Measured 6d ago against content hash 14550878475f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

linkedin-post-analytics 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.

skills/linkedin-post-analytics/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gate (run first)

  1. Pattern: CONNECTORS.md three-step for this integration: Discover — no standard LinkedIn MCP here; Configure — user logged into LinkedIn in the host browser (they sign in); Browser accessask Claude in Chrome and/or computer use (neither / one / both). If neither or no tooling, stop—do not scrape without read-only approval for the chosen mode(s).
  2. {user_dir}: Resolve the job-search folder; networking data is {user_dir}/CareerNavigator/networking.json.
  3. Scheduled unattended runs: If this invocation came from /schedule (or user asked for unattended), do not ask interactive browser/tooling questions. Continue only when prior consent is already saved in {user_dir}/CareerNavigator/profile.md under ## LinkedIn:
    • LinkedIn slug: <value>
    • LinkedIn analytics permission: granted
    • LinkedIn analytics mode: chrome | computer | either If any of these are missing, stop with a concise setup message telling the user to run one interactive setup once.

Tool-call guidance

Preferred order: for interactive runs, use the user-approved mode (chrome, computer, or either). If mode is either, try Claude in Chrome first, then computer.

Claude in Chrome path (strict, typed params):

  • First try tabs_context_mcp with correctly typed values (for example, createIfEmpty must be the boolean true, not the string "true").
  • If context initialization still fails, call tabs_create_mcp, then retry tabs_context_mcp once.
  • Then call navigate to the LinkedIn URL.
  • If navigate fails because tabId is typed incorrectly, retry once with a numeric tabId (integer, not quoted).
  • If still failing, stop with: "Claude in Chrome couldn't initialize a valid tab context. Open Chrome, confirm you're signed into LinkedIn, and rerun linkedin-post-analytics."

No circular fallback loops:

  • At most one retry per failing step.
  • Do not bounce between tools repeatedly.
  • If chosen mode fails, only try the alternate mode when the saved/approved mode is either.

Read the full file on GitHub · 74 lines

Changes

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.

  1. 6d ago First seen · 74 lines · 39 tokens per session scan A 14550878475f

Subscribe to this mod's changes

linkedin-post-analytics is a skill published in the GitHub repository tmargolis/career-navigator (13 stars, last pushed 7d ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,363 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 2026-08-30.

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