Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add swan-gtm/gtm-skills --skill handle-linkedin-profile-view-signalgit clone --depth 1 https://github.com/swan-gtm/gtm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/swan-gtm/gtm-skills/handle-linkedin-profile-view-signal)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/handle-linkedin-profile-view-signal"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/handle-linkedin-profile-view-signal/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/handle-linkedin-profile-view-signal"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/handle-linkedin-profile-view-signal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.03172 |
| Opus 5 | $0.00049 | $0.01586 |
| Sonnet 5 | $0.00020 | $0.00634 |
| Haiku 4.5 | $0.00010 | $0.00317 |
Grade A, and why
handle-linkedin-profile-view-signal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Template placeholders
Replace every {{...}} before enabling. See the setup checklist reference for the full setup list.
{{PROFILE_OWNER}}— Full name of the team member whose LinkedIn is tracked (e.g. "Jane Doe"){{INTERNAL_DOMAINS}}— Your own company domain(s) (e.g. "acme.com"){{NOTIFICATIONS_CHANNEL}}— Slack channel reference for outcome/debug posts{{ENRICHMENT_TOOL}}— Primary contact-enrichment tool available to the agent{{FALLBACK_SCRAPER}}— Fallback LinkedIn profile scraper (e.g. an Apify actor){{CRM}}— Your CRM (e.g. HubSpot){{CRM_HYGIENE_SKILL}}— Sub-skill reference: how to create/update companies & contacts in your CRM{{EXISTING_RELATIONSHIP_SKILL}}— Sub-skill reference: handling accounts with an open/lost deal{{HIGH_INTENT_SKILL}}— Sub-skill reference: potential-MQL scoring & routing{{AWARENESS_SKILL}}— Sub-skill reference: net-new ICP awareness logging{{TIER_SCALE}}— Your lead-score tiers, low→high (default: Bronze / Silver / Gold / Diamond){{SOLE_SIGNAL_CAP_TIER}}— Max tier when a profile view is the only 1st-party signal (default: Silver){{COOLDOWN_WINDOW}}— Same-session dedup window (default: 1 hour)
Overview
This skill fires when your profile-view tracker (e.g. LeadShark) detects a new view on {{PROFILE_OWNER}}'s LinkedIn profile. Goal: behave exactly like a website visit — resolve the viewer, run the same ICP gate, register them as a known contact only when they pass, and feed them into the MQL pipeline.
The golden rule: the CRM is never polluted. Only a viewer who is identified + company-resolved + not-internal + not-customer + ICP-matched ever reaches a CRM write. Everyone else is silently discarded or logged to org memory only.
The webhook trigger handles only one thing: ignoring events that are not
new.profile.visit. All logic lives here.
Channel rule: When outreach is triggered by a LinkedIn profile view signal, keep it LinkedIn-only. Do not create email steps. The contact came to you via LinkedIn — stay on that channel.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 301 lines · 98 tokens per session scan A 8e28a15569a4
handle-linkedin-profile-view-signal is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 98 tokens to every session and 3,172 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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