What is account-research?

A research guide for preparing a briefing on one company using LinkedIn information about the company, its important people, and its recent posts.

It helps explain what a target company does, identify relevant people, and review the company's LinkedIn posting topics and activity.

It gathers the main background needed before outreach or a call, so you do not have to assemble the briefing manually. It does not provide email addresses or phone numbers.

account-research — Skill for Claude Code and Codex by veezeehq

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 veezeehq/veezee-skills --skill account-research

Clone the repo

git clone --depth 1 https://github.com/veezeehq/veezee-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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/veezeehq/veezee-skills/account-research/github.svg)](https://agentmods.dev/skills/veezeehq/veezee-skills/account-research)

Your own site

<a href="https://agentmods.dev/skills/veezeehq/veezee-skills/account-research"><img src="https://agentmods.dev/badge/skills/veezeehq/veezee-skills/account-research/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/veezeehq/veezee-skills/account-research"><img src="https://agentmods.dev/badge/skills/veezeehq/veezee-skills/account-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,249 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.

Model	Per session	Once invoked
Fable 5.1	$0.00052	$0.01249
Opus 5.5	$0.00021	$0.00500
Sonnet 5.5	$0.00010	$0.00250
Haiku 4.5	$0.00005	$0.00125

Measured 2mo ago against content hash dcfde624a612, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

account-research 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 2mo 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/account-research/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Account research with Veezee

Build a briefing on one target account before outreach: what the company is, who matters there, and what they have been posting about. LinkedIn only; this skill covers no other platform. Veezee returns no emails or phone numbers; if the user needs contact details, tell them plainly that this skill cannot provide them.

Every call needs an API key. Minting one is free and human-free: no signup, no card. A call without a key fails with KEY_REQUIRED (401) carrying mint_url; the fix is the free mint below, never a payment. A fresh vz_trial_ key runs under a free per-IP daily budget of 200 credits, cached data only, first page only on any cursor sequence. Two equivalent surfaces; pick whichever your environment has:

MCP: add the server https://mcp.veezee.io/linkedin (streamable-http; https://mcp.veezee.io/all exposes every tool). Hosts that support MCP authorization (Claude Code, claude.ai) open a Veezee sign-in on connect (email code, no password): that is the whole auth step. Other hosts: mint a key with POST https://api.veezee.io/v1/keys/mint (empty body; the key is shown once) and put it in the connection's Authorization: Bearer header.
SDK: import { VeezeeClient } from "@veezee/sdk"; const client = new VeezeeClient(); await client.mint(); mints and stores the free key the first time and reuses it on later runs. Platform methods live on the namespace (client.linkedin.getProfile/searchPeople/getCompany/getPosts); client.resolveUrl and client.getUsage are top-level. The client sends retries and Idempotency-Keys for you. The veezee CLI (npx @veezee/sdk init) mints and stores the same key.

A full account briefing (company, posts, several people) spends more than the free daily budget, so this workflow needs purchased credits. When the budget or a trial cap runs out (TRIAL_CAP_EXCEEDED, INSUFFICIENT_CREDITS, BUDGET_EXHAUSTED), the error carries upgrade_url (https://veezee.io/upgrade) and a machine-readable offer; hand that link to your human, and purchases credit the same key directly, nothing to reconfigure.

Read the full file on GitHub · 40 lines

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.

2mo ago First seen · 40 lines · 52 tokens per session scan A dcfde624a612

Subscribe to this mod's changes

account-research is a skill published in the GitHub repository veezeehq/veezee-skills (0 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 1,249 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 2026-08-31.

Marketing and SEO Research

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account-research