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 enrich-waterfallgit 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/enrich-waterfall)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/enrich-waterfall"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/enrich-waterfall/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/enrich-waterfall"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/enrich-waterfall.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 | $0.00193 | $0.02553 |
| Opus 5 | $0.00097 | $0.01277 |
| Sonnet 5 | $0.00039 | $0.00511 |
| Haiku 4.5 | $0.00019 | $0.00255 |
Grade A, and why
enrich-waterfall 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
enrich-waterfall
When To Use
Use when the caller has a partial identifier — an email, a name + company, a domain, or a LinkedIn URL — and wants a fuller person and/or company profile, with contact details (email + phone), tech stack, company signals (funding / news / hiring), and social presence.
The defining behavior is cheapest-first with escalation: spend sub-cent calls to resolve identity, anchor the company, and fan out to enrichment slices; only reach for the premium reveals (Clado contacts, Clado natural-language people search) when the cheap tiers leave a gap; verify the email last.
Do not use this for crypto/market price lookups (see market-snapshot,
allium-price) or for a single one-off enrichment call (call that merchant directly).
Workflow
- Install:
selat skill install enrich-waterfall - Run:
selat skill run enrich-waterfall [--email ...] [--name ...] [--firstName ...] [--lastName ...] [--domain ...] [--company ...] [--linkedinUrl ...] [--organizationId ...] - The CLI compiles each manifest step into a
selat-paycall, runs the steps in order, and prints a per-stepstatus+ cost summary. Every step is via the SELAT Router through the SELAT Router (MPP) except the SELAT-native X/Twitter profile step, which is a x402 via Circle Gateway Circle x402 call (Circle Gateway-batched).
The waterfall (cheapest-first, with stop/escalation conditions)
Steps in manifest.json are ordered cheapest-first by tier (and cheapest-first
within each tier, using live prices probe-verified 2026-07-10). Walk them in order
and stop climbing a branch the moment you have what you need:
- resolve ($0.0084–$0.024) — Apollo
people-enrichment(one call takes email, name+company, domain and LinkedIn URL together), Hunteremail-enrichment/combined-enrichmentby email, Cladolinkedin-profileby LinkedIn URL. Goal: turn the input into a person record + company handle (domain, LinkedIn). Stop condition: once a resolve call returns a confident match with a domain and a LinkedIn URL, you do not need the remaining resolve calls.
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.
- 12d ago First seen · 150 lines · 193 tokens per session scan A 348eb6a27168
enrich-waterfall is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 193 tokens to every session and 2,553 once invoked, about $0.0010 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 2026-08-31.
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