globem-user-analysis

globem-user-analysis is a skill for Claude Code, Codex from zjunlp/DataMind. It costs 88 tokens per session (2,014 once invoked), scanned A, original, no licence file.

A tool for analysing one participant at a time in GLOBEM, a study that combines passive smartphone data with mental-health information from college students.

In plain words
What is it for?
It helps investigate an individual participant’s behavioural patterns using smartphone-sensing and mental-health data.
Why use it?
It brings together long-term behavioural signals for a named participant, reducing the need to inspect the dataset manually.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It helps investigate an individual participant’s behavioural patterns using smartphone-sensing and mental-health data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zjunlp/datamind/globem-user-analysis
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 zjunlp/DataMind --skill globem-user-analysis
Clone the repo
git clone --depth 1 https://github.com/zjunlp/DataMind

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 globem-user-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/datamind/globem-user-analysis/github.svg)](https://agentmods.dev/skills/zjunlp/datamind/globem-user-analysis)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/datamind/globem-user-analysis"><img src="https://agentmods.dev/badge/skills/zjunlp/datamind/globem-user-analysis/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 globem-user-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/zjunlp/datamind/globem-user-analysis"><img src="https://agentmods.dev/badge/skills/zjunlp/datamind/globem-user-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,014 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 unknown 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 $0.00088 $0.02014
Opus 5.5 $0.00035 $0.00806
Sonnet 5.5 $0.00018 $0.00403
Haiku 4.5 $0.00009 $0.00201

Measured 1mo ago against content hash b7d22af5370e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

globem-user-analysis 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 1mo 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.

datacope/report_task/skill/data-analytic-agent/globem-skills/globem-origin-skill/globem-user-analysis/SKILL.md · 192 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 1mo ago First seen · 192 lines · 88 tokens per session scan A b7d22af5370e

Subscribe to this mod's changes

globem-user-analysis is a skill published in the GitHub repository zjunlp/DataMind (149 stars, last pushed 21d ago), with no licence file. It adds 88 tokens to every session and 2,014 once invoked, about $0.0004 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 2026-08-30.

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