analytics-user-segmentation

analytics-user-segmentation is a skill for Claude Code, Codex from LgrappaG/Workflows-Agents. It costs 12 tokens per session (288 once invoked), scanned A, original, MIT.

A method for dividing players into groups, called cohorts, so their behavior can be compared in analytics.

In plain words
What is it for?
Use it to prepare player cohorts for behavioral analysis and development-related analytics work.
Why use it?
It replaces one undifferentiated player population with meaningful groups for analysis, though the input does not specify how groups are chosen.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/lgrappag/workflows-agents/analytics-user-segmentation
Any agent
npx skills add LgrappaG/Workflows-Agents --skill analytics-user-segmentation
Clone the repo
git clone --depth 1 https://github.com/LgrappaG/Workflows-Agents

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 analytics-user-segmentation

README.md
[![agentmods](https://agentmods.dev/badge/skills/lgrappag/workflows-agents/analytics-user-segmentation.svg)](https://agentmods.dev/skills/lgrappag/workflows-agents/analytics-user-segmentation)
Your own site
<a href="https://agentmods.dev/skills/lgrappag/workflows-agents/analytics-user-segmentation"><img src="https://agentmods.dev/badge/skills/lgrappag/workflows-agents/analytics-user-segmentation.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 288 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00012 $0.00288
Opus 5 $0.00006 $0.00144
Sonnet 5 $0.00002 $0.00058
Haiku 4.5 $0.00001 $0.00029

Measured 3d ago against content hash e7ef0bc866fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analytics-user-segmentation 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 3d 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/analytics-user-segmentation/SKILL.md · 40 lines

What it actually says

Analytics User Segmentation

Segment players into cohorts for analysis

Risk Level

LOW

Core Rules

  • Implement properly
  • Test thoroughly
  • Validate results

Response Pattern

  1. Design appropriate approach
  2. Implement solution
  3. Test edge cases
  4. Validate quality

Usage Contexts

  • Cohort analysis
  • Development workflows

What NOT to Do

  • Arbitrary segmentation
  • Incomplete testing
  • Deploy without validation
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. 3d ago First seen · 40 lines · 12 tokens per session scan A e7ef0bc866fb

Subscribe to this mod's changes

analytics-user-segmentation is a skill published in the GitHub repository LgrappaG/Workflows-Agents (2 stars, last pushed 4mo ago), licensed MIT. It adds 12 tokens to every session and 288 once invoked, about $0.0001 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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