Li Inbox
Jakeschincariol/linkedin-agent-skill
Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending.
Bulletproof LinkedIn inbox monitoring with progressive autonomy.
Install Linkedin Monitor
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-monitor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-monitor .claude/skills/linkedin-monitor && rm -rf skills-srcUse ~/.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/
Install the "linkedin-monitor" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-monitor into .claude/skills/linkedin-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-monitor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-monitorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-monitor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkedin-monitor .agents/skills/linkedin-monitor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-monitor" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-monitor into .agents/skills/linkedin-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-monitor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-monitor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkedin-monitor .cursor/skills/linkedin-monitor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkedin-monitor" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-monitor into .cursor/skills/linkedin-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-monitor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sundial-org/awesome-openclaw-skills.git --path skills/linkedin-monitor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-monitor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkedin-monitor .gemini/skills/linkedin-monitor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkedin-monitor" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-monitor into .gemini/skills/linkedin-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-monitor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-monitorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkedin-monitor .github/skills/linkedin-monitor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-monitor" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-monitor into .github/skills/linkedin-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-monitor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-monitor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkedin-monitor .opencode/skills/linkedin-monitor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-monitor" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-monitor into .opencode/skills/linkedin-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-monitor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkedin-monitor- GitHub stars
- 663
- Token cost
- ~1k tokens
- SKILL.md length
- 162 words
- Files
- 14 (incl. scripts)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- None found
At a glance
Bulletproof LinkedIn inbox monitoring with progressive autonomy.
- Tasks that involve Email management
- SKILL.md covers Features, Quick Start, Autonomy Levels and Commands, plus 6 more sections
- Runs Shell and Python scripts from its folder; calls npm and brew
What it does
Linkedin Monitor is an agent skill from sundial-org/awesome-openclaw-skills. Bulletproof LinkedIn inbox monitoring with progressive autonomy. Monitors messages hourly, drafts replies in your voice, and alerts you to new conversations. Supports 4 autonomy levels from monitor-only to full autonomous.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts (for example `CRON-PAYLOAD.md`, `README.md` and `docs/SETUP.md`).
It sits in Productivity & Automation, covering Email management. It works with LinkedIn. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.
When your agent uses it
- Tasks that involve Email management
Example prompts
- “/linkedin-monitor”
Requirements
- Python 3
- Node.js
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit b80cde2. 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
Ships 7 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
npmbrew
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
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 Monitor loads about 1k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 162 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 162 words (~1,006 tokens).
“Reliable LinkedIn inbox monitoring for Clawdbot.”
- name
- linkedin-monitor
- version
- 1.0.0
- author
- Dylan Baker / lilAgents
Files
SKILL.md and 13 other files (scripts) in skills/linkedin-monitor of sundial-org/awesome-openclaw-skills.
- SKILL.md
- CRON-PAYLOAD.md
- README.md
- docs/SETUP.md
- docs/TROUBLESHOOT.md
- package.json
- scripts/check-browser.sh
- scripts/check.sh
- scripts/cron-wrapper.sh
- scripts/ensure-browser.sh
- scripts/health.sh
- scripts/lk.py
- scripts/state.sh
- templates/config.json
Open the folder on GitHubat commit b80cde2
Compare with similar skills
Linkedin Monitor 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkedin Monitor this skillsundial-org/awesome-openclaw-skills | 663 | — | ~1k | Automated safety check: Pass | None | |
| Li InboxJakeschincariol/linkedin-agent-skill | 1.7k | — | ~723 | Automated safety check: Pass | MIT | |
| Curviate Inboxdavila7/claude-code-templates | 33k | — | ~4.5k | Automated safety check: Pass | MIT | |
| Pp Unipilemvanhorn/printing-press-library | 2.1k | — | ~8.9k | Automated safety check: Notes | Apache-2.0 | |
| Curviate Profiledavila7/claude-code-templates | 33k | — | ~7.6k | Automated safety check: Pass | MIT | |
| Csat Inbox Sweepmarkfulton/ai-employees | 543 | — | ~18k | Automated safety check: Pass | MIT |
Similar skills
Curviate Inbox
davila7/claude-code-templates
Read and send LinkedIn messages with the Curviate CLI. An agent skill from davila7/claude-code-templates.
Pp Unipile
mvanhorn/printing-press-library
Every Unipile endpoint as a typed command, plus a local mirror that makes cross-provider search possible and an invitation ledger that shows how much LinkedIn headroom you have left.
Curviate Profile
davila7/claude-code-templates
Read and write LinkedIn profiles and company pages with the Curviate CLI, and resolve human search terms into the opaque filter ids the search commands need.
Csat Inbox Sweep
markfulton/ai-employees
Weekdays, heavy browser lane. An agent skill from markfulton/ai-employees.
Outreach
yc-software/recruiting
Draft personalized cold outreach to a candidate the hiring manager hasn't contacted yet.
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Related
Works with
Categories
Questions about Linkedin Monitor
What does Linkedin Monitor do?
Bulletproof LinkedIn inbox monitoring with progressive autonomy. Linkedin Monitor is an agent skill from sundial-org/awesome-openclaw-skills. Bulletproof LinkedIn inbox monitoring with progressive autonomy.
When should I use Linkedin Monitor?
Linkedin Monitor fits situations like: tasks that involve Email management.
How do I install Linkedin Monitor in Claude Code?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a claude-code`. Or copy the skill folder (skills/linkedin-monitor in sundial-org/awesome-openclaw-skills) into .claude/skills/linkedin-monitor in your project. Claude Code loads it when a task matches its description.
How do I install Linkedin Monitor in Codex?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-monitor -a codex`. Or copy the skill folder (skills/linkedin-monitor in sundial-org/awesome-openclaw-skills) into .agents/skills/linkedin-monitor in your project. Codex loads it when a task matches its description.
Can I use Linkedin Monitor 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 sundial-org/awesome-openclaw-skills --skill linkedin-monitor -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-monitor, .gemini/skills/linkedin-monitor, .github/skills/linkedin-monitor and .opencode/skills/linkedin-monitor in your project.
What does Linkedin Monitor need to run?
Going by SKILL.md and its folder, Linkedin Monitor needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (npm and brew). Our summary lists: Python 3; Node.js; A Bash shell.
Does Linkedin Monitor access the network?
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Linkedin Monitor 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Linkedin Monitor use?
No licence was found for Linkedin Monitor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Linkedin Monitor use?
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Linkedin Monitor?
Skills that share tags, products or a category with Linkedin Monitor: Li Inbox (Jakeschincariol/linkedin-agent-skill, 1.7k stars), Curviate Inbox (davila7/claude-code-templates, 33k stars), Pp Unipile (mvanhorn/printing-press-library, 2.1k stars) and Curviate Profile (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkedin Monitor?
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.