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 SELAT-AI/selat-skills --skill lead-enrichmentgit clone --depth 1 https://github.com/SELAT-AI/selat-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/selat-ai/selat-skills/lead-enrichment)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/lead-enrichment"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/lead-enrichment/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/selat-ai/selat-skills/lead-enrichment"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/lead-enrichment.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 | $0.00132 | $0.02270 |
| Opus 5.5 | $0.00053 | $0.00908 |
| Sonnet 5.5 | $0.00026 | $0.00454 |
| Haiku 4.5 | $0.00013 | $0.00227 |
Grade A, and why
lead-enrichment 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 22d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
lead-enrichment
When To Use
Use for a fully identified B2B lead when the requester needs one fixed, read-only bundle covering:
- a work-email candidate derived independently from name and employer domain;
- deliverability signals for the exact supplied work email;
- professional identity and employer context;
- an explicitly requested phone-enrichment lookup (whatever numbers Clado holds for the profile; not filtered to business lines); and
- company firmographics.
The requester must supply a coherent first name, last name, company, bare company domain, known work email, and LinkedIn person URL. Use a smaller skill or free discovery for email-only, company-only, phone-only, partial, or bulk tasks.
Use only for a legitimate business purpose. Do not infer sensitive traits, silently substitute a different person, or send outreach. Email deliverability and phone availability do not establish consent to contact someone.
Workflow
-
Install the vetted recipe:
selat skill install lead-enrichment -
Collect all six required inputs. Lowercase
emailanddomainfor comparison, confirm that the email suffix after@equals the bare domain, and confirm that the LinkedIn person URL, name, and employer refer to the same lead. Reject free-mail or personal domains (for example gmail.com, outlook.com, yahoo.com, icloud.com, proton.me) asdomain/email: this is a work-email cross-check and Hunter firmographics on a mailbox provider are meaningless. Stop before any probe if the target is incomplete, inconsistent, or uses a free-mail address. -
Probe all five payment challenges for free:
SELAT_ROUTER_URL=https://router.selat.ai \ selat skill verify ~/.config/selat/skills/lead-enrichment \ --firstName "<first-name>" \ --lastName "<last-name>" \ --company "<company-name>" \ --domain <matching-bare-domain> \ --email "<known-work-email>" \ --linkedinUrl "<linkedin-person-url>" \ --live-probe
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.
- 22d ago Changed · +127 lines · +16 tokens per session 5142cc37e5a9
- 1mo ago First seen · 75 lines · 116 tokens per session scan A d47063b05350
lead-enrichment is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 132 tokens to every session and 2,270 once invoked, about $0.0005 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 2026-08-31.
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