hr-data-maturity-assessment

hr-data-maturity-assessment is a skill for Claude Code from trycomp-io/comp-skills. It costs 176 tokens per session (3,276 once invoked), scanned A, original, MIT.

An interactive web questionnaire that measures how mature an organisation's human-resources data practices are across five levels and five areas.

In plain words
What is it for?
Use it to assess data collection, governance, reporting, analysis, and technology or AI practices in about five minutes. It can produce a standalone HTML result or run as a guided conversation.
Why use it?
It turns a broad data-maturity question into 15 scored answers and shows where the organisation stands. It also identifies the next improvements through a tailored roadmap.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the comp-skills plugin — 37 skills shipped together

Good fit Use it to assess data collection, governance, reporting, analysis, and technology or AI practices in about five minutes. It can produce a standalone HTML result or run as a guided conversation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trycomp-io/comp-skills/hr-data-maturity-assessment
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 trycomp-io/comp-skills --skill hr-data-maturity-assessment
Clone the repo
git clone --depth 1 https://github.com/trycomp-io/comp-skills

Made for: Claude Code.

Or install comp-skills, the plugin that ships this one along with the rest of its 37 skills.

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 hr-data-maturity-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/trycomp-io/comp-skills/hr-data-maturity-assessment/github.svg)](https://agentmods.dev/skills/trycomp-io/comp-skills/hr-data-maturity-assessment)
Your own site
<a href="https://agentmods.dev/skills/trycomp-io/comp-skills/hr-data-maturity-assessment"><img src="https://agentmods.dev/badge/skills/trycomp-io/comp-skills/hr-data-maturity-assessment/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 hr-data-maturity-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/trycomp-io/comp-skills/hr-data-maturity-assessment"><img src="https://agentmods.dev/badge/skills/trycomp-io/comp-skills/hr-data-maturity-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 176 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,276 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 $0.00176 $0.03276
Opus 5 $0.00088 $0.01638
Sonnet 5 $0.00035 $0.00655
Haiku 4.5 $0.00018 $0.00328

Measured 9d ago against content hash f508cc7e514f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

hr-data-maturity-assessment 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (eam_client.py, scripts/generate_assessment.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/hr-data-maturity-assessment/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dual-mode operation (Code + Cowork)

HTML pelo design system (obrigatório). Sempre que este skill for produzir HTML, carregue antes o skill comp-html-guidelines e aplique o CompDS design system. Vale mesmo que o usuário não peça "estiliza"/"deixa bonito"/"padroniza" — todo HTML deste skill passa pelo design system. Isso não altera a metodologia abaixo; governa só a camada visual do HTML.

Detect platform at start:

  • If you have the Bash tool AND can run Python → use script mode (generates the interactive standalone HTML). Existing workflow below.
  • Otherwise (e.g., Claude Cowork) → use inline mode: conduct the assessment conversationally per the "Inline assessment logic" section, compute the score in chat, present a markdown scorecard. If an HTML artifact tool is available, ALSO render a self-contained HTML result (Tailwind CDN) matching the script's output.

Inline assessment logic (Cowork mode)

5 dimensões × 3 perguntas = 15 perguntas. Em cada pergunta as opções vêm ordenadas da mais madura (1ª) à menos madura (5ª): 1ª opção = 5 pontos, 2ª = 4, 3ª = 3, 4ª = 2, 5ª = 1.

Dimensão 1: Coleta & Integração

  • Q1: Como os dados de colaboradores estão organizados hoje?
    • (5) Tudo num data warehouse único, integrado em tempo real com HRIS/folha/ATS
    • (4) HRIS centralizado, com integrações batch (diárias) pros outros sistemas
    • (3) HRIS + planilhas auxiliares; integrações manuais ou pontuais
    • (2) Vários sistemas isolados, dados duplicados, sincronia manual
    • (1) Tudo em planilhas; cada análise exige consolidação manual
  • Q2: Quanto tempo leva pra responder "quantas pessoas trabalham na empresa hoje, por área"?
    • (5) Tempo real: dashboard ou query direta
    • (4) Minutos: query SQL pronta ou relatório padrão
    • (3) Algumas horas: alguém compila
    • (2) Dias: depende de RH puxar de vários lugares
    • (1) Não conseguimos responder com confiança
  • Q3: Quão completos e atualizados são os dados de cargo e remuneração?
    • (5) 100% das pessoas com cargo, nível e salário atualizados na mudança
    • (4) Atualizados em ciclos (mensal/trimestral), >90% completo
    • (3) Em geral atualizados, mas gaps conhecidos em algumas áreas
    • (2) Várias inconsistências entre fontes; reconciliação periódica
    • (1) Não confiável: dependemos do gestor lembrar de atualizar

Read the full file on GitHub · 187 lines

Files

What ships with it

5 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.

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. 9d ago First seen · 187 lines · 176 tokens per session scan A f508cc7e514f

Subscribe to this mod's changes

hr-data-maturity-assessment is a skill published in the GitHub repository trycomp-io/comp-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 176 tokens to every session and 3,276 once invoked, about $0.0009 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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