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 getaero-io/gtm-eng-skills --skill luma-inbound-webhook-enrichgit clone --depth 1 https://github.com/getaero-io/gtm-eng-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/getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich)<a href="https://agentmods.dev/skills/getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich"><img src="https://agentmods.dev/badge/skills/getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich/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/getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich"><img src="https://agentmods.dev/badge/skills/getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00050 | $0.00390 |
| Opus 5.5 | $0.00020 | $0.00156 |
| Sonnet 5.5 | $0.00010 | $0.00078 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
luma-inbound-webhook-enrich 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 24d 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.
What it actually says
Luma inbound webhook enrich (DRAFT)
Goal
Registration events become a durable system: webhook → validate → normalize LinkedIn → enrich → upsert CRM/DB → optional Slack notify. Not a one-off CSV import after the event.
Design checklist
- Trigger: Luma registration / unsubscribe (document exact event names you subscribe to).
- Idempotency: upsert key = email (plus event id).
- Normalize: LinkedIn slug → canonical
https://www.linkedin.com/in/...URL. - Enrich: cheap fields first; gate expensive providers.
- Write: CRM or customer DB fields listed in
references/field-map.md. - Failure mode: keep original failed payload; dead-letter queue; backfill later.
- Versioning: bump play/workflow version on each mapping change; never silent overwrite of prod without dry-run.
Backfill pattern
- Export failed webhook payloads (or Luma guest delta since last success).
- Re-run through the current versioned play.
- Leave original failed records intact for audit.
- Report: attempted / succeeded / still failing.
Pair with
luma-event-campaignfor outbound stagingevent-ops-score-and-doorfor capacity decisions (separate from inbound enrich)
Guardrails
- Do not log raw PII into public git.
- Secrets only via secret store / workflow secrets — never in SKILL.md.
- Ask before replaying large historical backfills (cost + CRM noise).
What ships with it
2 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.
- 24d ago First seen · 43 lines · 50 tokens per session scan A 296451cf9d97
luma-inbound-webhook-enrich is a skill published in the GitHub repository getaero-io/gtm-eng-skills (67 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 390 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-22.
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