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 account-intelgit 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/account-intel)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/account-intel"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/account-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.
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/account-intel"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/account-intel.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 | $0.00213 | $0.02244 |
| Opus 5 | $0.00106 | $0.01122 |
| Sonnet 5 | $0.00043 | $0.00449 |
| Haiku 4.5 | $0.00021 | $0.00224 |
Grade A, and why
account-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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
account-intel
Entity-centric footprint & reputation intelligence. Point the skill at one specific person, brand, company, or handle and it gathers paid signal across X/Twitter, YouTube, web news/reputation, web citations, and any associated on-chain token — over three rails (x402 via Circle Gateway + MPP on Tempo + x402 on Base) — which the agent fuses into a single cross-platform footprint brief: who this account is, how present they are per platform, and how credible the web makes them look.
When To Use
Use when the value is profiling a single entity — the question is who is this account, how present and credible are they across platforms. Examples: "profile @OpenAI", "cross-platform footprint of ", "reputation brief on ", "where does show up and is it legit".
This is distinct from social-intel, which does topic/keyword listening —
sentiment and chatter on a subject across a crowd. If the user asks "what are
people saying about " or "social sentiment on ", use
social-intel. If they name one account/brand/person and want that
entity's footprint, use account-intel.
Rails
This skill spans three rails:
- x402 via Circle Gateway — Alchemy token-by-address serves a native x402
challenge — a Circle Gateway-batched nanopayment paid straight to the upstream on
Base, bypassing the router. (SELAT-native X/Twitter is also
x402 via Circle Gateway, but settles through the SELAT Router.) - MPP on Tempo — Scrape Creators (YouTube, via
mpp.orthogonal.com) and Brave news-search (via Locus) settle MPP through the SELAT Router. - SELAT Router x402 — SELAT-native X/Twitter (
catalog.selat.ai,x402 via Circle Gateway) and Exa web search (MPP on Tempo) settle through the SELAT Router.
The manifest's top-level rail is mixed. The selat CLI auto-detects each
step's protocol at call time.
Workflow
- Install:
selat skill install account-intel - Run end-to-end:
selat skill run account-intel --handle <handle> --name "<entity>" [--address <0x..>] - The CLI compiles each step into a
selat-paycall and prints each result.
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.
- 11d ago First seen · 135 lines · 213 tokens per session scan A 89be39223e8e
account-intel is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 213 tokens to every session and 2,244 once invoked, about $0.0011 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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