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jakeschincariol/linkedin-agent-skill101 installs

li-inbox

Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending. Use when the user says "my inbox is a mess", "triage my DMs", "should I reply to this", pastes a batch of LinkedIn messages, or is drowning in connection requests.

How do I install this agent skill?

npx skills add https://github.com/jakeschincariol/linkedin-agent-skill --skill li-inbox
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill is safe but has a surface for indirect prompt injection because it processes untrusted LinkedIn message content without explicit input boundaries.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

li-inbox

Most LinkedIn inboxes are 80% noise, and the cost of that noise is that the 20% goes unanswered for a week. This skill separates them, then writes only what is worth writing.

Input

The user pastes the messages. Screenshots are fine. Do not log into their account or read their inbox with a browser tool.

Sort into five

bucketsignalaction
LEADdescribes a problem the user solves, or asks about working togetherreply today, full answer
RECRUITERa role, a company, a salary bandreply if the role is real, one line if not
PEERsomeone in the same field with something to sayreply this week, keep it human
ASKwants advice, time, an intro, a favourreply if it is cheap and specific, decline cleanly if not
SPAMagency pitch, lead-gen sequence, crypto, "quick question" with no questionarchive, no reply

Print the counts first. Seeing "3 leads, 2 recruiters, 41 spam" is most of the value.

Detecting a sequence

Automated outreach has a shape: an invite note with no specifics, a message that arrives within minutes of the accept, "quick question", "I noticed you're in {industry}", a calendar link in message one, then a bump exactly four days later. When you see it, mark it SPAM and say which tell gave it away. The user does not owe a reply to a script.

Replies

  • LEAD - answer the actual question in the message, in full, for free. If it is a fit, the offer is one sentence at the end. If it is not, say so and point them somewhere useful. Both outcomes are good.
  • RECRUITER - if the role is genuinely interesting, ask the three things the message left out: comp band, level, and whether it is in-office. If it is not, one line: not looking, happy to refer, and mean the refer.
  • ASK - if it costs under ten minutes and is specific, do it. If it is "can I pick your brain", decline in one warm sentence and give them the one answer you would have given on the call. That is the polite version and it is also the more useful one.
  • DECLINES are short, warm and final. No "let's revisit in Q3" if there is no Q3.

Output

Grouped by bucket, counts first, drafts only for the buckets that get replies, each one humanized. Then the gate: the user sends them.

INBOX  ·  52 items  ·  3 LEAD, 2 RECRUITER, 4 PEER, 2 ASK, 41 SPAM

SPAM  (41) - archive. 38 are the same sequence: no-specifics invite,
"quick question" within 4 minutes of accept, calendar link in message one.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/jakeschincariol/linkedin-agent-skill/li-inbox">View li-inbox on skillZs</a>