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Agent Skill

Linkedin Reader skill

linkedin-readerhimself65/finance-skillsplugins/social-readers/skills/linkedin-reader/SKILL.md

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.

3.4kMIT

always on

99 tokname + description

once used

1,498 tokSKILL.md body

bundled files

210 KB

repo stars

3.4kGitHub

Install the Linkedin Reader skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/himself65/finance-skills --skill linkedin-reader

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/himself65/finance-skills.git /tmp/finance-skills
mkdir -p ~/.claude/skills
cp -R /tmp/finance-skills/plugins/social-readers/skills/linkedin-reader ~/.claude/skills/linkedin-reader

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description99 tok
When the agent uses itThe SKILL.md instructions1,498 tok
Only if opened2 bundled files (10 KB)varies

Until it is used, linkedin-reader costs about 14× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 26 skills from himself65/finance-skills would load 3,579 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • LinkedIn Skill (Read-Only)
  • Step 1: Ensure opencli Is Installed and Ready
  • Setup
  • Common setup issues
  • Step 2: Identify What the User Needs
  • Step 3: Execute the Command
  • General pattern
  • Key rules
  • Output format flag (-f)
  • Output columns
  • Step 4: Present the Results
  • Step 5: Diagnostics
  • Error Reference
  • Reference Files

More skills from himself65/finance-skills

All skills in this repo
  1. company-valuationhimself65/finance-skills

    Estimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.

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  2. discord-readerhimself65/finance-skills

    Read Discord for financial research through opencli connected to the Discord desktop app: servers, channels, members, recent messages in the active channel, and message search. Use this skill whenever the user wants to check their Discord, list servers or channels, read or search messages in trading, crypto, or market communities, or gauge what a Discord community is saying about a ticker or coin. Read-only: it cannot send, react to, edit, or delete messages.

    3.4k95 tok idle · 1,761 in use
  3. earnings-previewhimself65/finance-skills

    Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print. Use this skill whenever the user is preparing for an upcoming earnings report or asks what the street expects — consensus or whisper numbers, EPS expectations, whether a company will beat, an earnings setup, or an earnings-season preview — and whenever a ticker comes up in the context of upcoming earnings, even without the word "preview". For results that are already out, use earnings-recap.

    3.4k135 tok idle · 1,221 in use
  4. earnings-recaphimself65/finance-skills

    Analyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price reaction. Use this skill whenever the user asks how earnings went — beat or miss, earnings surprise, quarterly results, the post-earnings move, or an earnings call recap — including casual references to a past report such as "AMZN reported last night" or "how did they do". For an upcoming report, use earnings-preview.

    3.4k112 tok idle · 1,493 in use
  5. estimate-analysishimself65/finance-skills

    Analyze sell-side analyst estimates and how they are changing, using Yahoo Finance data (yfinance): EPS and revenue consensus by period, estimate ranges and dispersion, revision trends over 7/30/60/90 days and up/down revision breadth, growth estimates vs industry, sector, and the S&P 500, and historical estimate accuracy. Use this skill when the user wants more than a single estimate lookup: estimate revisions or momentum, EPS trend, consensus changes, forward or next-quarter and annual estimates, the bull vs bear estimate spread, or growth projections across periods.

    3.4k117 tok idle · 1,490 in use
  6. etf-premiumhimself65/finance-skills

    Calculate an ETF's premium or discount to NAV from Yahoo Finance data (yfinance), compare or screen ETFs by premium, explain why a gap exists, and decompose a sudden ETF move into NAV-driven vs structural components (dealer gamma exposure, blocked AP arbitrage, sentiment). Use this skill whenever the user asks whether an ETF trades above or below NAV, compares ETF premiums or discounts, screens for the biggest ones, asks about ETF arbitrage or premium convergence, or wants to know why an ETF jumped or diverged from its holdings — including gamma squeezes, dealer gamma exposure (GEX), and blocked creation/redemption. Especially relevant for leveraged, inverse, international, bond, commodity, and crypto ETFs (IBIT, BITO, HYG, KWEB).

    3.4k159 tok idle · 4,884 in use
  7. finance-sentimenthimself65/finance-skills

    Fetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend. Use this skill whenever the user asks how much a stock is being discussed or how hot it is on social platforms, how many Reddit mentions or Polymarket bets a company has, whether Reddit, X, and news agree, or wants to compare stock buzz and sentiment across tickers. Read-only: it never places trades or modifies anything.

    3.4k111 tok idle · 1,343 in use
  8. fintel-datahimself65/finance-skills

    Query Fintel (fintel.io) institutional market data through its REST API or official MCP server. Use this skill whenever the user mentions Fintel or asks about short interest, short interest ratio or days to cover, short squeeze data, borrow rate or cost to borrow, shares available to borrow, daily short volume, fails-to-deliver (FTD), 13F institutional owners ("who owns X"), insider buying or selling from SEC Form 3/4/5, analyst price targets, ratings and forecasts, dividend or earnings history and calendars, EOD or last prices, security lookup by ticker, CUSIP, ISIN, or FIGI, Fintel leaderboards, or their Fintel watchlists and alerts. Read-only: GET endpoints only.

    3.4k157 tok idle · 2,281 in use