Linkedin Reader
Alex YangCommunityCreated by Alex Yang
- Skill
- Tool integration
- Automation and integrations
- MIT
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The linkedin-reader skill enables users to perform read-only financial research on LinkedIn directly from their terminal. By leveraging the opencli tool, it bridges the user's existing browser session to extract data from their home feed or perform targeted job searches. It is specifically designed for gathering professional sentiment, monitoring market commentary from analysts, and tracking finance-related career opportunities. The skill is strictly read-only and does not support any interactive features such as posting, commenting, or messaging.
What it does
- Fetches and displays the user's LinkedIn home feed for market and analyst research.
- Performs targeted job searches using filters like location, seniority, job type, and remote status.
- Provides structured output formats including JSON, YAML, CSV, and Markdown for data analysis.
- Retrieves detailed job descriptions and application URLs for specific finance roles.
- Verifies browser session health and connectivity via a diagnostic command.
- Supports pagination and result limiting to manage data volume.
When to use it
- When you need to monitor professional sentiment or analyst commentary regarding specific markets or earnings.
- When you are searching for finance or trading job opportunities with specific criteria.
- When you want to export LinkedIn data into structured formats for further analysis.
- When you prefer to conduct research within a terminal environment using your existing browser session.
Advantages
- No API keys or complex authentication required; uses existing browser login.
- Supports multiple output formats for easy integration with other tools.
- Allows for granular filtering of job searches to find relevant finance roles.
- Strictly read-only design ensures no accidental interactions with the platform.
Usage examples
- “Check my LinkedIn feed for any recent posts about market volatility.”
- The agent runs the timeline command and summarizes posts from your feed, highlighting sentiment and key analyst commentary.
- “Find me full-time quantitative analyst jobs in New York posted in the last week.”
- The agent executes a filtered search and returns a list of relevant job titles, companies, and locations.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/himself65/linkedin-reader/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip linkedin-reader.zip -d .agents/skills
Documentation by Alex Yang
LinkedIn Skill (Read-Only)
If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the ! wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.
Reads LinkedIn for financial research using opencli, a universal CLI tool that bridges web services to the terminal via browser session reuse.
This skill is read-only. It is designed for financial research: reading professional commentary on markets, monitoring analyst posts, searching finance/trading jobs, and tracking professional sentiment. It does NOT support posting, liking, commenting, connecting, messaging, or any write operations.
Important: opencli reuses your existing Chrome login session — no API keys or cookie extraction needed. Just be logged into linkedin.com in Chrome and have the Browser Bridge extension installed.
Step 1: Ensure opencli Is Installed and Ready
Current environment status:
!`(command -v opencli && opencli doctor 2>&1 | head -5 && echo "READY" || echo "SETUP_NEEDED") 2>/dev/null || echo "NOT_INSTALLED"`If the status above shows READY, skip to Step 2. If NOT_INSTALLED, install first:
# Install opencli globally
npm install -g @jackwener/opencliIf SETUP_NEEDED, guide the user through setup:
Setup
opencli requires Node.js >= 20 and a Chrome browser with the Browser Bridge extension:
Install the Browser Bridge extension:
Download the latest
opencli-extension-v{version}.zipfrom the GitHub Releases pageUnzip it, open
chrome://extensionsin Chrome, and enable Developer modeClick Load unpacked and select the unzipped folder
Login to linkedin.com in Chrome — opencli reuses your existing browser session
Verify connectivity:
opencli doctorThis auto-starts the daemon, verifies the extension is connected, and checks session health.
Common setup issues
| Symptom | Fix |
|---|---|
Extension not connected | Install Browser Bridge extension in Chrome and ensure it's enabled |
Daemon not running | Run opencli doctor — it auto-starts the daemon |
No session for linkedin.com | Login to linkedin.com in Chrome, then retry |
AuthRequiredError | LinkedIn session expired — refresh linkedin.com in Chrome and log in again |
Step 2: Identify What the User Needs
Match the user's request to one of the read commands below, then use the corresponding command from references/commands.md.
| User Request | Command | Key Flags |
|---|---|---|
| Setup check | opencli doctor | — |
| Home feed / posts | opencli linkedin timeline | --limit N (default 20, max 100) |
| Search for jobs | opencli linkedin search "QUERY" | --location, --limit N (default 10, max 100), --details |
| Finance job search | opencli linkedin search "QUERY" | --experience-level, --job-type, --remote, --company, --date-posted, --start |
Step 3: Execute the Command
General pattern
# Read LinkedIn feed posts
opencli linkedin timeline --limit 20 -f json
# Search for finance/trading jobs
opencli linkedin search "quantitative analyst" --limit 10 -f json
opencli linkedin search "portfolio manager" --location "New York" --limit 15 -f json
# Detailed job listings with descriptions
opencli linkedin search "financial analyst" --details --limit 10 -f jsonKey rules
Check setup first — run
opencli doctorbefore any other command if unsure about connectivityUse
-f jsonor-f yamlfor structured output when processing data programmaticallyUse
-f csvwhen the user wants spreadsheet-compatible outputUse
--limit Nto control result count — start with 10-20 unless the user asks for moreFor job search, use filters —
--location,--experience-level,--job-type,--remote,--date-postedto narrow resultsRead-only — don't post, like, comment, connect, message, or apply to jobs
Output format flag (-f)
| Format | Flag | Best for |
|---|---|---|
| Table | -f table (default) | Human-readable terminal output |
| JSON | -f json | Programmatic processing, LLM context |
| YAML | -f yaml | Structured output, readable |
| Markdown | -f md | Documentation, reports |
| CSV | -f csv | Spreadsheet export |
Output columns
Timeline posts include: rank, author, author_url, headline, text, posted_at, reactions, comments, url.
Job search results include: rank, title, company, location, listed, salary, url. With --details: also description, apply_url.
Step 4: Present the Results
Lead with what matters for the user's research question rather than a raw dump. For feed posts, attribute each one (author, headline, text, reactions and comments, URL), highlight market commentary, analyst takes, and earnings reactions, and note the bullish or bearish lean and where views are consensus or contrarian. For job results, give title, company, location, salary when available, posting date, and the listing URL. Keep browser session details private.
Step 5: Diagnostics
If something isn't working, run:
opencli doctorThis checks daemon status, extension connectivity, and browser session health.
Error Reference
| Error | Cause | Fix |
|---|---|---|
Extension not connected | Browser Bridge not installed/enabled | Install extension and enable it in Chrome |
No session | Not logged into linkedin.com | Login to linkedin.com in Chrome |
AuthRequiredError | LinkedIn login wall detected | Refresh linkedin.com and log in again |
EmptyResultError | No results found for query | Broaden search terms or check feed has content |
| Rate limited | Too many requests | Wait a few minutes, then retry |
Reference Files
references/commands.md— Complete read command reference with all flags, research workflows, and usage examples
Read the reference file when you need exact command syntax, research workflow patterns, or output details.
Files
- ATTRIBUTION.mdAdded by AutoGineer890 B
- LICENSELicence file added by AutoGineer1.0 KiB
- README.md2.1 KiB
- SKILL.md6.6 KiB
- references/commands.md7.6 KiB
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an API key, Needs Node.js
Security
What our scanner noticed· Low risk
- Instructions that use the network
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Alex Yang
- Publisher
- Alex Yang (Community)
- Source
- himself65/finance-skills · plugins/social-readers/skills/linkedin-reader · commit a085078
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Alex Yang.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download linkedin-reader.zip