Creator · himself65
Last updated · Sep 1, 2026
Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn.
Creator · himself65
Last updated · Sep 1, 2026
Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn.
Creator · himself65
Last updated · Sep 1, 2026
Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn.
Creator · himself65
Last updated · Sep 1, 2026
Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn.
Sandbox only
Install targets
Codex install prompt
Install the "linkedin-reader" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/social-readers/skills/linkedin-reader. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"himself65-linkedin-reader","task":"Install linkedin-reader","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add himself65/finance-skills --skill linkedin-reader
Maintenance
fresh
10d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.3K
82/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.3K GitHub stars
Repo activity
3.3K stars, 374 forks
Maintenance
10d since push
License
MIT
Install
npx skills add himself65/finance-skills --skill linkedin-reader
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add himself65/finance-skills --skill linkedin-readerDo not use when
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/himself65-linkedin-reader/install
Agent should check
Copy prompt
Task: Use linkedin-reader in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install
Install command: npx skills add himself65/finance-skills --skill linkedin-reader
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/himself65-linkedin-reader/install
LLM text format
/api/skills/himself65-linkedin-reader/install?format=text
Find alternatives
/api/skills/search?q=linkedin-reader&limit=3
Agent prompt
Use linkedin-reader for this task. Review https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install, then install with: npx skills add himself65/finance-skills --skill linkedin-readerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/himself65-linkedin-reader
LLM text
/api/registry/manifest/himself65-linkedin-reader?format=text
Install alias
/api/registry/install/himself65-linkedin-reader
Recommend
/api/registry/recommend?task=Use%20linkedin-reader%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.3K GitHub stars
Stars/forks activity
PASS3.3K stars, 374 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
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--- name: linkedin-reader description: > Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. ---
# LinkedIn Skill (Read-Only)
Reads LinkedIn for financial research using [opencli](https://github.com/jackwener/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](https://github.com/jackwener/opencli/releases) - 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
| 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
```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. **NEVER execute write operations** — this skill is read-only; do not 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
After fetching data, present it clearly for financial research:
1. **Summarize key content** — highlight the most relevant posts or jobs for the user's research 2. **Include attribution** — show author name, headline, post text, and engagement (reactions, comments) 3. **Provide URLs** when the user might want to read the full post or job listing 4. **For feed posts**, highlight market commentary, analyst takes, earnings reactions, and professional sentiment 5. **For job search results**, present title, company, location, salary (when available), and posting date 6. **Flag sentiment** — note bullish/bearish professional sentiment, consensus vs contrarian views 7. **Treat sessions as private** — never expose browser session details
---
## Step 5: Diagnostics
If something isn't working, run:
```bash opencli doctor ```
This 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.
Source provenance
Decision snapshot
3,272 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-reader, ready for a manual X post.
A practical pick for market research: linkedin-reader: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their Linked... 3.3K stars https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x
Listing + install path for linkedin-reader: https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x Install: npx skills add himself65/finance-skills --skill linkedin-reader
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to himself65 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/himself65-linkedin-reader/audit)
[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)himself65
@himself65
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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Install targets
Codex install prompt
Install the "linkedin-reader" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/social-readers/skills/linkedin-reader. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"himself65-linkedin-reader","task":"Install linkedin-reader","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add himself65/finance-skills --skill linkedin-reader
Maintenance
fresh
10d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.3K
82/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.3K GitHub stars
Repo activity
3.3K stars, 374 forks
Maintenance
10d since push
License
MIT
Install
npx skills add himself65/finance-skills --skill linkedin-reader
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add himself65/finance-skills --skill linkedin-readerDo not use when
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/himself65-linkedin-reader/install
Agent should check
Copy prompt
Task: Use linkedin-reader in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install
Install command: npx skills add himself65/finance-skills --skill linkedin-reader
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/himself65-linkedin-reader/install
LLM text format
/api/skills/himself65-linkedin-reader/install?format=text
Find alternatives
/api/skills/search?q=linkedin-reader&limit=3
Agent prompt
Use linkedin-reader for this task. Review https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install, then install with: npx skills add himself65/finance-skills --skill linkedin-readerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/himself65-linkedin-reader
LLM text
/api/registry/manifest/himself65-linkedin-reader?format=text
Install alias
/api/registry/install/himself65-linkedin-reader
Recommend
/api/registry/recommend?task=Use%20linkedin-reader%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.3K GitHub stars
Stars/forks activity
PASS3.3K stars, 374 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: linkedin-reader description: > Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. ---
# LinkedIn Skill (Read-Only)
Reads LinkedIn for financial research using [opencli](https://github.com/jackwener/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](https://github.com/jackwener/opencli/releases) - 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
| 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
```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. **NEVER execute write operations** — this skill is read-only; do not 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
After fetching data, present it clearly for financial research:
1. **Summarize key content** — highlight the most relevant posts or jobs for the user's research 2. **Include attribution** — show author name, headline, post text, and engagement (reactions, comments) 3. **Provide URLs** when the user might want to read the full post or job listing 4. **For feed posts**, highlight market commentary, analyst takes, earnings reactions, and professional sentiment 5. **For job search results**, present title, company, location, salary (when available), and posting date 6. **Flag sentiment** — note bullish/bearish professional sentiment, consensus vs contrarian views 7. **Treat sessions as private** — never expose browser session details
---
## Step 5: Diagnostics
If something isn't working, run:
```bash opencli doctor ```
This 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.
Source provenance
Decision snapshot
3,272 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-reader, ready for a manual X post.
A practical pick for market research: linkedin-reader: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their Linked... 3.3K stars https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x
Listing + install path for linkedin-reader: https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x Install: npx skills add himself65/finance-skills --skill linkedin-reader
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)himself65
@himself65
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "linkedin-reader" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/social-readers/skills/linkedin-reader. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"himself65-linkedin-reader","task":"Install linkedin-reader","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add himself65/finance-skills --skill linkedin-reader
Maintenance
fresh
10d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.3K
82/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.3K GitHub stars
Repo activity
3.3K stars, 374 forks
Maintenance
10d since push
License
MIT
Install
npx skills add himself65/finance-skills --skill linkedin-reader
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add himself65/finance-skills --skill linkedin-readerDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/himself65-linkedin-reader/install
Agent should check
Copy prompt
Task: Use linkedin-reader in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install
Install command: npx skills add himself65/finance-skills --skill linkedin-reader
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/himself65-linkedin-reader/install
LLM text format
/api/skills/himself65-linkedin-reader/install?format=text
Find alternatives
/api/skills/search?q=linkedin-reader&limit=3
Agent prompt
Use linkedin-reader for this task. Review https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install, then install with: npx skills add himself65/finance-skills --skill linkedin-readerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/himself65-linkedin-reader
LLM text
/api/registry/manifest/himself65-linkedin-reader?format=text
Install alias
/api/registry/install/himself65-linkedin-reader
Recommend
/api/registry/recommend?task=Use%20linkedin-reader%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.3K GitHub stars
Stars/forks activity
PASS3.3K stars, 374 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: linkedin-reader description: > Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. ---
# LinkedIn Skill (Read-Only)
Reads LinkedIn for financial research using [opencli](https://github.com/jackwener/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](https://github.com/jackwener/opencli/releases) - 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
| 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
```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. **NEVER execute write operations** — this skill is read-only; do not 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
After fetching data, present it clearly for financial research:
1. **Summarize key content** — highlight the most relevant posts or jobs for the user's research 2. **Include attribution** — show author name, headline, post text, and engagement (reactions, comments) 3. **Provide URLs** when the user might want to read the full post or job listing 4. **For feed posts**, highlight market commentary, analyst takes, earnings reactions, and professional sentiment 5. **For job search results**, present title, company, location, salary (when available), and posting date 6. **Flag sentiment** — note bullish/bearish professional sentiment, consensus vs contrarian views 7. **Treat sessions as private** — never expose browser session details
---
## Step 5: Diagnostics
If something isn't working, run:
```bash opencli doctor ```
This 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.
Source provenance
Decision snapshot
3,272 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-reader, ready for a manual X post.
A practical pick for market research: linkedin-reader: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their Linked... 3.3K stars https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x
Listing + install path for linkedin-reader: https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x Install: npx skills add himself65/finance-skills --skill linkedin-reader
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to himself65 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[](https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)himself65
@himself65
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "linkedin-reader" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/social-readers/skills/linkedin-reader. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"himself65-linkedin-reader","task":"Install linkedin-reader","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add himself65/finance-skills --skill linkedin-reader
Maintenance
fresh
10d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.3K
82/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.3K GitHub stars
Repo activity
3.3K stars, 374 forks
Maintenance
10d since push
License
MIT
Install
npx skills add himself65/finance-skills --skill linkedin-reader
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add himself65/finance-skills --skill linkedin-readerDo not use when
Alternative
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Alternative
61.0K Stars
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Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/himself65-linkedin-reader/install
Agent should check
Copy prompt
Task: Use linkedin-reader in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-reader%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install
Install command: npx skills add himself65/finance-skills --skill linkedin-reader
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/himself65-linkedin-reader/install
LLM text format
/api/skills/himself65-linkedin-reader/install?format=text
Find alternatives
/api/skills/search?q=linkedin-reader&limit=3
Agent prompt
Use linkedin-reader for this task. Review https://www.openagentskill.com/api/skills/himself65-linkedin-reader/install, then install with: npx skills add himself65/finance-skills --skill linkedin-readerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/himself65-linkedin-reader
LLM text
/api/registry/manifest/himself65-linkedin-reader?format=text
Install alias
/api/registry/install/himself65-linkedin-reader
Recommend
/api/registry/recommend?task=Use%20linkedin-reader%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.3K GitHub stars
Stars/forks activity
PASS3.3K stars, 374 forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
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--- name: linkedin-reader description: > Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations. ---
# LinkedIn Skill (Read-Only)
Reads LinkedIn for financial research using [opencli](https://github.com/jackwener/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](https://github.com/jackwener/opencli/releases) - 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
| 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
```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. **NEVER execute write operations** — this skill is read-only; do not 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
After fetching data, present it clearly for financial research:
1. **Summarize key content** — highlight the most relevant posts or jobs for the user's research 2. **Include attribution** — show author name, headline, post text, and engagement (reactions, comments) 3. **Provide URLs** when the user might want to read the full post or job listing 4. **For feed posts**, highlight market commentary, analyst takes, earnings reactions, and professional sentiment 5. **For job search results**, present title, company, location, salary (when available), and posting date 6. **Flag sentiment** — note bullish/bearish professional sentiment, consensus vs contrarian views 7. **Treat sessions as private** — never expose browser session details
---
## Step 5: Diagnostics
If something isn't working, run:
```bash opencli doctor ```
This 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.
Source provenance
Decision snapshot
3,272 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-reader, ready for a manual X post.
A practical pick for market research: linkedin-reader: Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their Linked... 3.3K stars https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x
Listing + install path for linkedin-reader: https://www.openagentskill.com/skills/himself65-linkedin-reader?ref=x Install: npx skills add himself65/finance-skills --skill linkedin-reader
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to himself65 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
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Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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28.0K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness