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 manojbajaj95/claude-gtm-plugin --skill linkedingit clone --depth 1 https://github.com/manojbajaj95/claude-gtm-pluginWrote 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/manojbajaj95/claude-gtm-plugin/linkedin)<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/linkedin"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/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/manojbajaj95/claude-gtm-plugin/linkedin"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/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 | $0.00055 | $0.02967 |
| Opus 5 | $0.00028 | $0.01484 |
| Sonnet 5 | $0.00011 | $0.00593 |
| Haiku 4.5 | $0.00006 | $0.00297 |
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 9d 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 — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Two modes — often used together:
- Profile Audit — analyze and optimize your LinkedIn profile (photo, headline, About, experience, skills, SSI, engagement rate)
- Content Creation — write high-engagement posts, build thought leadership, grow your audience
Check for strategy/brand.md and about/me.md before starting. If they exist, use them to calibrate voice, audience, and positioning.
Mode 1: Profile Audit
Analysis Types
- Full Profile Audit — all elements, complete report with scores
- Quick Profile Review — priority action items and quick wins only
- Visibility Optimization — keyword/SEO discoverability
- Content Strategy Analysis — posting frequency, engagement performance
Accessing LinkedIn via Chrome DevTools
Requires LinkedIn profile open in Chrome, user logged in.
| Tool | MCP Name | Use For |
|---|---|---|
| List Pages | mcp__chrome-devtools__list_pages |
Find LinkedIn tab |
| Select Page | mcp__chrome-devtools__select_page |
Focus tab |
| Snapshot | mcp__chrome-devtools__take_snapshot |
Accessibility tree with UIDs |
| Screenshot | mcp__chrome-devtools__take_screenshot |
Photo and banner analysis |
| Navigate | mcp__chrome-devtools__navigate_page |
Go to URLs |
| Click/Hover | mcp__chrome-devtools__click / hover |
Interact with elements |
What ships with it
5 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.
- 9d ago First seen · 327 lines · 55 tokens per session scan A d10463b4ccaa
linkedin is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (96 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 2,967 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 2026-08-30.
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