post-voice-research

post-voice-research is a skill for Claude Code, Codex from veezeehq/veezee-skills. It costs 54 tokens per session (1,171 once invoked), scanned A, original, MIT.

A research guide for examining what a person or company posts on LinkedIn, including their topics, writing tone, and recent activity.

In plain words
What is it for?
It helps research a LinkedIn profile's posting themes, voice, and posting recency before preparing outreach or a comment.
Why use it?
It reduces the manual work of reviewing LinkedIn posts before writing outreach messages or comments. It covers LinkedIn only.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit It helps research a LinkedIn profile's posting themes, voice, and posting recency before preparing outreach or a comment.

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Install with agentmods
npx agentmods add skills/veezeehq/veezee-skills/post-voice-research
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 post-voice-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.

agentmods badge for post-voice-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/veezeehq/veezee-skills/post-voice-research/github.svg)](https://agentmods.dev/skills/veezeehq/veezee-skills/post-voice-research)
Your own site
<a href="https://agentmods.dev/skills/veezeehq/veezee-skills/post-voice-research"><img src="https://agentmods.dev/badge/skills/veezeehq/veezee-skills/post-voice-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.

agentmods 80×15 button for post-voice-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/veezeehq/veezee-skills/post-voice-research"><img src="https://agentmods.dev/badge/skills/veezeehq/veezee-skills/post-voice-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,171 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 $0.00054 $0.01171
Opus 5 $0.00027 $0.00585
Sonnet 5 $0.00011 $0.00234
Haiku 4.5 $0.00005 $0.00117

Measured 11d ago against content hash c12e3695ea0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

post-voice-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 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/post-voice-research/SKILL.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Post and voice research with Veezee

Turn a LinkedIn identifier into a picture of what someone posts about: topics, tone, and how recently they have been active. LinkedIn only; this skill covers no other platform.

Setup (one free key, no signup)

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.

The free daily budget covers a few pages; sustained voice research 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.

The workflow

  1. Classify the identifier. Clean profile or company URL, slug, or person URN: go straight to step 2. Dirty or ambiguous URL: resolve_url first, then use the returned handle. get_posts detects whether the identifier is a person or a company automatically; do not pass a company URN or numeric id here, use the company slug or URL instead.
  2. get_posts with the identifier. This returns one page of posts (text, created_at, author, likes, comments_count, shares, is_repost, url) and a cursor for older posts. Each page is a separate call priced the same way, so only page further if the user needs more history than the first page gives.
  3. Read the returned post text for recurring topics, tone (technical, promotional, personal, celebratory), and how often reposts versus original posts appear. Note the created_at spread to judge recency and posting cadence.
  4. If the user wants context on who is posting, get_profile (for a person, sections: ["about"]; the overview plus first two sections are included in the base price) or get_company (for a company) adds the overview.

Read the full file on GitHub · 38 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.

  1. 11d ago First seen · 38 lines · 54 tokens per session scan A c12e3695ea0c

Subscribe to this mod's changes

post-voice-research is a skill published in the GitHub repository veezeehq/veezee-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,171 once invoked, about $0.0003 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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