Agent skill

Linkedin Inbox

by sundial-org in sundial-org/awesome-openclaw-skills

LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows.

No licenceAuto-check passedProductivity & Automation

Install Linkedin Inbox

skills CLI
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-inbox -a claude-code

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

GitHub CLI
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-inbox --agent claude-code

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

Manual copy
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-inbox .claude/skills/linkedin-inbox && rm -rf skills-src

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

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

Facts

Skill name
linkedin-inbox
GitHub stars
663
Token cost
~1.5k tokens
SKILL.md length
382 words
Files
6 (incl. scripts, references)
Skills in repo
383
Repo updated
First seen
Licence
None found

At a glance

LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows.

  • Works in 3 steps: One-time Setup → Configure User Style → Start Monitoring
  • Monitoring LinkedIn messages
  • SKILL.md covers Requirements, Quick Start, Core Workflow and Communication Style Matching, plus 6 more sections
  • Runs Shell scripts from its folder; calls brew; reaches linkedin.com

What it does

Linkedin Inbox is an agent skill from sundial-org/awesome-openclaw-skills. LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows. Use when monitoring LinkedIn messages, drafting replies, managing inbox during off-hours, or setting up morning ping summaries of LinkedIn activity.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `config-example.json`, `references/style-extraction.md` and `scripts/open_conversation.sh`).

It sits in Productivity & Automation, covering Email management and Email writing. It works with LinkedIn. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.

When your agent uses it

  • Monitoring LinkedIn messages
  • Drafting replies
  • Managing inbox during off-hours
  • Setting up morning ping summaries of LinkedIn activity

Example prompts

  • “/linkedin-inbox”

Requirements

  • A Bash shell

Workflow steps

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

  1. One-time Setup
  2. Configure User Style
  3. Start Monitoring

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 3 files in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • brew

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • linkedin.com

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Linkedin Inbox loads about 1.5k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 382 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

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 382 words (~1,498 tokens).

“Automated LinkedIn inbox monitoring with human-in-the-loop approval for responses. Uses Peekaboo for UI automation (no API rate limits, works with any LinkedIn account).”

— opening of SKILL.md by sundial-org
name
linkedin-inbox

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in skills/linkedin-inbox of sundial-org/awesome-openclaw-skills.

  • SKILL.md
  • config-example.json
  • references/style-extraction.md
  • scripts/open_conversation.sh
  • scripts/scan_inbox.sh
  • scripts/send_message.sh

Open the folder on GitHubat commit b80cde2

Compare with similar skills

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

Linkedin Inbox compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Inbox this skillsundial-org/awesome-openclaw-skills663—~1.5kAutomated safety check: PassNone
Email Draftingmgonto/executive-assistant-skills118—~2.8kAutomated safety check: PassNone
Li InboxJakeschincariol/linkedin-agent-skill1.7k—~723Automated safety check: PassMIT
Executive AssistantTheCraigHewitt/hermes-chief-of-staff104—~1kAutomated safety check: PassMIT
Email Response Simulationextruct-ai/gtm-skills109—~2.8kAutomated safety check: PassNone
Emailheypinchy/pinchy182—~2.4kAutomated safety check: PassAGPL-3.0

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Works with

Questions about Linkedin Inbox

What does Linkedin Inbox do?

LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows. Linkedin Inbox is an agent skill from sundial-org/awesome-openclaw-skills. LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows.

When should I use Linkedin Inbox?

Linkedin Inbox fits situations like: monitoring LinkedIn messages; drafting replies; managing inbox during off-hours; setting up morning ping summaries of LinkedIn activity.

How do I install Linkedin Inbox in Claude Code?

Run `npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-inbox -a claude-code`. Or copy the skill folder (skills/linkedin-inbox in sundial-org/awesome-openclaw-skills) into .claude/skills/linkedin-inbox in your project. Claude Code loads it when a task matches its description.

How do I install Linkedin Inbox in Codex?

Run `npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-inbox -a codex`. Or copy the skill folder (skills/linkedin-inbox in sundial-org/awesome-openclaw-skills) into .agents/skills/linkedin-inbox in your project. Codex loads it when a task matches its description.

Can I use Linkedin Inbox 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-inbox -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-inbox, .gemini/skills/linkedin-inbox, .github/skills/linkedin-inbox and .opencode/skills/linkedin-inbox in your project.

What does Linkedin Inbox need to run?

Going by SKILL.md and its folder, Linkedin Inbox needs a shell for the scripts in its folder and the command-line tools its instructions call (brew). Our summary lists: A Bash shell.

Does Linkedin Inbox access the network?

SKILL.md names 1 domain. In commands or code: linkedin.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Linkedin Inbox 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 Inbox use?

No licence was found for Linkedin Inbox or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Linkedin Inbox use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 910 tokens, read only when the agent opens those files.

What are the alternatives to Linkedin Inbox?

Skills that share tags, products or a category with Linkedin Inbox: Email Drafting (mgonto/executive-assistant-skills, 118 stars), Li Inbox (Jakeschincariol/linkedin-agent-skill, 1.7k stars), Executive Assistant (TheCraigHewitt/hermes-chief-of-staff, 104 stars) and Email Response Simulation (extruct-ai/gtm-skills, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Inbox?

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.