financial-intel

financial-intel is a skill for Claude Code, Codex from SELAT-AI/selat-skills. It costs 157 tokens per session (2,034 once invoked), scanned A, original, Apache-2.0.

A workflow for creating a verified cold-email list. Cold email is unsolicited business outreach, while verification checks whether an email address is likely deliverable.

In plain words
What is it for?
Finding target companies, collecting domain emails, locating a specific person's address, checking deliverability, enriching leads, and gathering brand context.
Why use it?
It brings company discovery, contact lookup, email finding, verification, and personalization data into one ordered process.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Finding target companies, collecting domain emails, locating a specific person's address, checking deliverability, enriching leads, and gathering brand context.

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Install with agentmods
npx agentmods add skills/selat-ai/selat-skills/financial-intel
Install

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.

Any agent
npx skills add SELAT-AI/selat-skills --skill financial-intel
Clone the repo
git clone --depth 1 https://github.com/SELAT-AI/selat-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for financial-intel

README.md
[![agentmods](https://agentmods.dev/badge/skills/selat-ai/selat-skills/financial-intel/github.svg)](https://agentmods.dev/skills/selat-ai/selat-skills/financial-intel)
Your own site
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/financial-intel"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/financial-intel/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.

agentmods 80×15 button for financial-intel

Your own site · 80×15
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/financial-intel"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/financial-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,034 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00157 $0.02034
Opus 5 $0.00078 $0.01017
Sonnet 5 $0.00031 $0.00407
Haiku 4.5 $0.00016 $0.00203

Measured 11d ago against content hash 629f172f3ce5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

financial-intel 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 11d 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.

skills/financial-intel/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

financial-intel

Multi-signal financial intelligence on a crypto asset, token, or equity ticker. The skill gathers paid signal across two settlement modes — a Circle Gateway-batched nanopayment (x402 via Circle Gateway, Alchemy) and MPP on Tempo (CoinGecko, Alpha Vantage, Nansen, Exa) — and the agent fuses it into one brief: what the asset costs, how its market is behaving, what macro/equities are doing, where smart money sits on-chain, and the latest market news — with citations.

When To Use

Use when the user wants a cross-source financial read on a single asset that spans more than one signal: live price, token market data, macro/equity context, on-chain smart-money positioning, and current news. Pick this over a single-source price or news lookup when the value is in fusing signals across providers and rails. Every API call is a paid x402/MPP service; the agent does the synthesis, the sanity-checks, and the buy/hold/avoid read around the paid data.

Rails

This skill spans two settlement modes:

  • Circle Gateway nanopayment — Alchemy spot price (x402.alchemy.com) settles x402 via Circle Gateway: a Circle Gateway-batched nanopayment paid straight to the upstream, no router hop. This step does not require SELAT_ROUTER_URL.
  • MPP on Tempo — CoinGecko, Alpha Vantage, Nansen, and Exa settle MPP on Tempo through the SELAT Router.

The SELAT Router steps require a reachable SELAT_ROUTER_URL. The selat CLI auto-detects each step's protocol and settlement mode at call time. Because the skill mixes Circle-Gateway and SELAT Router steps, its rail is mixed.

Workflow

  1. Install: selat skill install financial-intel
  2. Run end-to-end: selat skill run financial-intel --symbol <symbol> --coin <coin> --ticker <ticker> --chain <chain> --query "<query>"
  3. The CLI compiles each step into a selat-pay call and prints each result.

Recommended agent procedure (cheapest-first; stop early when the picture is clear):

Read the full file on GitHub · 127 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 127 lines · 157 tokens per session scan A 629f172f3ce5

Subscribe to this mod's changes

financial-intel is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 157 tokens to every session and 2,034 once invoked, about $0.0008 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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