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people-scorecard

people-scorecard is a skill for Claude Code from trycomp-io/comp-skills. It costs 226 tokens per session (1,825 once invoked), scanned A, original, MIT.

A monthly people-analytics report built from an employee roster, with optional event data. People analytics means using workforce data to understand staffing, turnover, tenure, reporting lines, and internal movement.

In plain words
What is it for?
Use it to report headcount, annualised attrition, average tenure, manager span of control, and internal mobility.
Why use it?
It converts employee records into recurring workforce measures instead of requiring manual calculations each month.

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

not rated 2repo 3mo ago A scan 226 tokens original MIT

Good fit Use it to report headcount, annualised attrition, average tenure, manager span of control, and internal mobility.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trycomp-io/comp-skills/people-scorecard
View source ↗ trycomp-io/comp-skills
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 people-scorecard
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 people-scorecard

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/trycomp-io/comp-skills/people-scorecard"><img src="https://agentmods.dev/badge/skills/trycomp-io/comp-skills/people-scorecard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 226 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,825 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 $0.00226 $0.01825
Opus 5 $0.00113 $0.00912
Sonnet 5 $0.00045 $0.00365
Haiku 4.5 $0.00023 $0.00183

Measured 9d ago against content hash e6003a81a847, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

people-scorecard 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/people_scorecard.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/people-scorecard/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dual-mode operation (Code + Cowork)

HTML through the design system (required). Whenever this skill produces HTML, load the comp-html-guidelines skill first and apply the CompDS design system. This holds even when the user does not ask to "style it" or "make it look good" — every HTML output from this skill goes through the design system. It does not change the methodology below; it only governs the HTML's visual layer.

Detect platform at start:

  • If you have the Bash tool AND can run Python → use script mode (deterministic, writes the rich HTML report). This is the existing workflow below.
  • Otherwise (e.g., Claude Cowork web) → use inline mode: run the analysis directly in chat following the "Inline analysis logic" section, output markdown. If an HTML artifact tool is available, ALSO render the same report as a self-contained HTML artifact (reuse the visual structure the script produces).

Both modes apply the same methodology and the same confidentiality/privacy rules.

Inline analysis logic (Cowork mode)

Como o usuário fornece os dados

  • Roster (atual): colunas name, area, level, manager (opc), gender (opc), tenure_months OU hire_date, salary (opc). Auto-detect com aliases PT/EN.
  • Eventos (opcional): type (hire/exit/promotion), date, regretted (opc). Sem eventos, as taxas (attrition, mobilidade, crescimento) e a tendência são omitidas.
  • Cole as tabelas no chat ou anexe os CSVs. Roster grande (>~50 linhas) é difícil de processar manualmente. Sugira rodar em Claude Code (script mode).
  • Salário/datas em formato BR devem ser convertidos.

Metodologia (fixa, idêntica ao script)

  1. Headcount: total + contagem por área + por nível.
  2. Tenure: se houver tenure_months use direto; senão derive de hire_date (meses até hoje). Reporte média, mediana e distribuição (0-12m / 12-24m / 24-48m / 48m+).
  3. Span of control (se houver manager): conte reportes por gestor; reporte média, máx e distribuição (1-3 / 4-7 / 8-12 / 13+).
  4. Attrition anualizada (precisa de eventos): exits ÷ avg_headcount × (12 ÷ meses_do_período) × 100. avg_headcount ≈ headcount_atual + (exits − hires)/2. Período inferido pelas datas dos eventos (default 12m). Split lamentável se houver flag regretted.
  5. Mobilidade interna: promoções ÷ headcount × 100.
  6. Crescimento / novos contratados: (hires − exits) ÷ headcount × 100 e hires ÷ headcount × 100.
  7. Representatividade (se houver gender): % por gênero geral E entre níveis de liderança (heurística: nível contém lead/head/manager/gestor/diretor/vp/chief/L5+ etc.). Regra de confidencialidade: qualquer grupo de gênero com menos de 3 pessoas é suprimido (mostrado como "—") e não entra no cálculo de %. Nunca baixe esse limite de 3, ele protege a privacidade individual. Idem para liderança: se o total de líderes < 3, suprima o bloco inteiro.
  8. Tendência: se os eventos tiverem datas, agregue contratações/saídas/promoções por mês.

Read the full file on GitHub · 111 lines

Files

What ships with it

3 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 · 111 lines · 226 tokens per session scan A e6003a81a847

Subscribe to this mod's changes

people-scorecard is a skill published in the GitHub repository trycomp-io/comp-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 226 tokens to every session and 1,825 once invoked, about $0.0011 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.

Analytics and metricsbrazilclaudeclaude-skillscompensationhrpeople-analytics
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