Agent skill

Linkedin Reader

by himself65 in himself65/finance-skills

Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters.

MITAuto-check passedBusiness, Finance & HR

Install Linkedin Reader

skills CLI
$ npx skills add himself65/finance-skills --skill linkedin-reader -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install himself65/finance-skills linkedin-reader --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/social-readers/skills/linkedin-reader .claude/skills/linkedin-reader && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkedin-reader
GitHub stars
3.4k
Token cost
~1.6k tokens
SKILL.md length
673 words
Files
3 (incl. references)
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters.

  • Works in 5 steps: Ensure opencli Is Installed and Ready → Identify What the User Needs → Execute the Command → …
  • The user wants to check their LinkedIn feed
  • SKILL.md covers Step 1: Ensure opencli Is…, Step 2: Identify What the User…, Step 3: Execute the Command and Step 4: Present the Results, plus 3 more sections
  • Calls npm

What it does

Linkedin Reader is an agent skill from himself65/finance-skills. Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters. Use this skill whenever the user wants to check their LinkedIn feed, see what professionals or analysts are posting about a company, market, or earnings, gauge professional sentiment, or search finance and trading jobs on LinkedIn. Read-only: it cannot post, like, comment, connect, message, or apply.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `README.md` and `references/commands.md`).

It sits in Business, Finance & HR, covering Trading and backtesting and Job search and resumes. It works with LinkedIn. The repository describes itself as: A collection of skills for AI financial analysis. The licence is MIT.

When your agent uses it

  • The user wants to check their LinkedIn feed
  • See what professionals
  • Analysts are posting about a company
  • Gauge professional sentiment

Example prompts

  • “/linkedin-reader”

Requirements

  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Ensure opencli Is Installed and Ready
  2. Identify What the User Needs
  3. Execute the Command
  4. Present the Results
  5. Diagnostics

What it can do on your machine

Read from SKILL.md and the folder at commit 01fc7b4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkedin Reader loads about 1.6k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 673 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~119
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from himself65/finance-skills at commit 01fc7b4, republished under its MIT licence (© himself65). 673 words, ~1,628 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-reader/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
linkedin-reader
description
Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters. Use this skill whenever the user wants to check their LinkedIn feed, see what professionals or analysts are posting about a company, market, or earnings, gauge professional sentiment, or search finance and trading jobs on LinkedIn. Read-only: it cannot post, like, comment, connect, message, or apply.

LinkedIn Skill (Read-Only)

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:

bash
# Install opencli globally
npm install -g @jackwener/opencli

If SETUP_NEEDED, guide the user through setup:

Setup

opencli requires Node.js >= 20 and a Chrome browser with the Browser Bridge extension:

  1. Install the Browser Bridge extension:
    • Download the latest opencli-extension-v{version}.zip from the GitHub Releases page
    • Unzip it, open chrome://extensions in Chrome, and enable Developer mode
    • Click Load unpacked and select the unzipped folder
  2. Login to linkedin.com in Chrome — opencli reuses your existing browser session
  3. Verify connectivity:
bash
opencli doctor

This auto-starts the daemon, verifies the extension is connected, and checks session health.

Common setup issues
SymptomFix
Extension not connectedInstall Browser Bridge extension in Chrome and ensure it's enabled
Daemon not runningRun opencli doctor — it auto-starts the daemon
No session for linkedin.comLogin to linkedin.com in Chrome, then retry
AuthRequiredErrorLinkedIn 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 RequestCommandKey Flags
Setup checkopencli doctor—
Home feed / postsopencli linkedin timeline--limit N (default 20, max 100)
Search for jobsopencli linkedin search "QUERY"--location, --limit N (default 10, max 100), --details
Finance job searchopencli linkedin search "QUERY"--experience-level, --job-type, --remote, --company, --date-posted, --start

Step 3: Execute the Command

General pattern
bash
# 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 json
Key rules
  1. Check setup first — run opencli doctor before any other command if unsure about connectivity
  2. Use -f json or -f yaml for structured output when processing data programmatically
  3. Use -f csv when the user wants spreadsheet-compatible output
  4. Use --limit N to control result count — start with 10-20 unless the user asks for more
  5. For job search, use filters — --location, --experience-level, --job-type, --remote, --date-posted to narrow results
  6. Read-only — don't post, like, comment, connect, message, or apply to jobs
Show full SKILL.md (258 more words)Show less
Output format flag (-f)
FormatFlagBest for
Table-f table (default)Human-readable terminal output
JSON-f jsonProgrammatic processing, LLM context
YAML-f yamlStructured output, readable
Markdown-f mdDocumentation, reports
CSV-f csvSpreadsheet 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:

bash
opencli doctor

This checks daemon status, extension connectivity, and browser session health.


Error Reference

ErrorCauseFix
Extension not connectedBrowser Bridge not installed/enabledInstall extension and enable it in Chrome
No sessionNot logged into linkedin.comLogin to linkedin.com in Chrome
AuthRequiredErrorLinkedIn login wall detectedRefresh linkedin.com and log in again
EmptyResultErrorNo results found for queryBroaden search terms or check feed has content
Rate limitedToo many requestsWait 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.

© himself65, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/social-readers/skills/linkedin-reader of himself65/finance-skills.

  • SKILL.md
  • README.md
  • references/commands.md

Open the folder on GitHubat commit 01fc7b4

Compare with similar skills

Linkedin Reader next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkedin Reader compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Reader this skillhimself65/finance-skills3.4k—~1.6kAutomated safety check: PassMIT
Fin Linkedin Readercriptogus/agent-evolve-network288—~793Automated safety check: PassMIT
LinkedIn Job SearchMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: PassMIT
Job Posting ScraperMadsLorentzen/ai-job-search45k—~5.7kAutomated safety check: PassMIT
Job Application Assistantneonwatty/job-apply-plugin119—~4.9kAutomated safety check: NotesMIT
Linkedin Job Search Skillyanliudesign/offer-toolkit-skill518—~1kAutomated safety check: PassMIT

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  • Fin Linkedin Reader

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Works with

Questions about Linkedin Reader

What does Linkedin Reader do?

Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters. Linkedin Reader is an agent skill from himself65/finance-skills. Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters.

When should I use Linkedin Reader?

Linkedin Reader fits situations like: the user wants to check their LinkedIn feed; see what professionals; analysts are posting about a company; gauge professional sentiment.

How do I install Linkedin Reader in Claude Code?

Run `npx skills add himself65/finance-skills --skill linkedin-reader -a claude-code`. Or copy the skill folder (plugins/social-readers/skills/linkedin-reader in himself65/finance-skills) into .claude/skills/linkedin-reader in your project. Claude Code loads it when a task matches its description.

How do I install Linkedin Reader in Codex?

Run `npx skills add himself65/finance-skills --skill linkedin-reader -a codex`. Or copy the skill folder (plugins/social-readers/skills/linkedin-reader in himself65/finance-skills) into .agents/skills/linkedin-reader in your project. Codex loads it when a task matches its description.

Can I use Linkedin Reader in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add himself65/finance-skills --skill linkedin-reader -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-reader, .gemini/skills/linkedin-reader, .github/skills/linkedin-reader and .opencode/skills/linkedin-reader in your project.

What does Linkedin Reader need to run?

Going by SKILL.md and its folder, Linkedin Reader needs the command-line tools its instructions call (npm). Our summary lists: Node.js.

Does Linkedin Reader access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Linkedin Reader safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Linkedin Reader use?

Linkedin Reader is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkedin Reader use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Linkedin Reader?

Skills that share tags, products or a category with Linkedin Reader: Fin Linkedin Reader (criptogus/agent-evolve-network, 288 stars), LinkedIn Job Search (MadsLorentzen/ai-job-search, 45k stars), Job Posting Scraper (MadsLorentzen/ai-job-search, 45k stars) and Job Application Assistant (neonwatty/job-apply-plugin, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Reader?

himself65 (a GitHub user) maintains it in himself65/finance-skills, which has 3,382 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 5, 2026.

Source: himself65/finance-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.