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 influencer-post-engager-capturegit 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/influencer-post-engager-capture)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/influencer-post-engager-capture"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/influencer-post-engager-capture/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/influencer-post-engager-capture"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/influencer-post-engager-capture.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 | $0.00095 | $0.02026 |
| Opus 5 | $0.00048 | $0.01013 |
| Sonnet 5 | $0.00019 | $0.00405 |
| Haiku 4.5 | $0.00010 | $0.00203 |
Grade A, and why
influencer-post-engager-capture 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 12d 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 — 187 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.
{{COMPANY}}— Your product/company name as it appears in posts{{INTERNAL_DOMAINS}}— Your company domain(s){{TEAM_MEMBERS}}— Full names of your team (filtered out as engagers){{SIGNALS_CHANNEL}}— Slack channel for per-lead posts + the digest{{ICP_SEGMENTS}}— Your target segments (the ICP gate list in Step 4){{LEAD_SCORING_SKILL}}— Sub-skill reference: lead scoring & qualification methodology{{TIER_SCALE}}— Your lead-score tiers, low→high (default: Bronze / Silver / Gold / Diamond)
Overview
When a tracked influencer publishes a {{COMPANY}}-focused LinkedIn post, this skill captures ICP-fit engagers (commenters + reactors), runs lead scoring on their companies, and posts a digest to {{SIGNALS_CHANNEL}}.
Step 1 — Verify Post Is {{COMPANY}}-Focused
Read the post content. The trigger's topic filter is broad — this step is the precise check.
{{COMPANY}}-focused (proceed):
- {{COMPANY}} is the primary subject of the post
- The post discusses, reviews, recommends, demos, or is sponsored by {{COMPANY}}
- {{COMPANY}} is the main topic, not one item in a list
Not {{COMPANY}}-focused (STOP):
- {{COMPANY}} is merely listed among other tools (e.g., "Top 10 GTM tools: X, {{COMPANY}}, Y...")
- {{COMPANY}} gets a passing mention in a post about something else
- The post is about a competitor and {{COMPANY}} is mentioned tangentially
If not {{COMPANY}}-focused: stop. Do not process engagers. Do not post anything.
Step 1b — Like the Post
Before processing engagers, like the post using your LinkedIn tools if available. This is standard practice for all {{COMPANY}}-focused influencer posts regardless of engagement volume.
Step 2 — Scrape ALL Engagers from the Post Directly
Do NOT rely solely on engager data provided by the trigger. The trigger delivers engagers one-by-one as they come in — it does NOT provide all existing engagers at the time it fires. The trigger's engager list is always a subset of the real total.
What ships with it
1 file 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.
- 12d ago First seen · 187 lines · 95 tokens per session scan A 345652213042
influencer-post-engager-capture is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 95 tokens to every session and 2,026 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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