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skills-gap-analysis

skills-gap-analysis is a skill for Claude Code from trycomp-io/comp-skills. It costs 171 tokens per session (1,662 once invoked), scanned A, original, MIT.

A workforce skills-gap analysis that compares the skills people have with the skills an organisation needs. It recommends whether each gap should be filled by training current staff, hiring, or borrowing external help.

In plain words
What is it for?
Use it to calculate skill coverage, prioritise capability gaps, and create a skill-by-importance heatmap.
Why use it?
It shows which capabilities are missing and helps rank them by business importance and size.

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 171 tokens original MIT

Good fit Use it to calculate skill coverage, prioritise capability gaps, and create a…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trycomp-io/comp-skills/skills-gap-analysis
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 skills-gap-analysis
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 skills-gap-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/trycomp-io/comp-skills/skills-gap-analysis.svg)](https://agentmods.dev/skills/trycomp-io/comp-skills/skills-gap-analysis)
Your own site
<a href="https://agentmods.dev/skills/trycomp-io/comp-skills/skills-gap-analysis"><img src="https://agentmods.dev/badge/skills/trycomp-io/comp-skills/skills-gap-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 171 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,662 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 $0.00171 $0.01662
Opus 5 $0.00086 $0.00831
Sonnet 5 $0.00034 $0.00332
Haiku 4.5 $0.00017 $0.00166

Measured 6d ago against content hash 75643aaa0571, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

skills-gap-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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (eam_client.py, scripts/skills_gap.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/skills-gap-analysis/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 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 (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 build/buy/borrow logic.

Inline analysis logic (Cowork mode)

Como o usuário fornece os dados

Precisa de DUAS entradas:

  1. Inventário de skills: colunas person, skill, proficiency (1-5). Pode ser CSV anexado, tabela colada, OU descrição conversacional do estado atual por função (ex: "no time de dados tenho 2 seniors em SQL, 1 júnior em Python..."). Converta a descrição para a estrutura person/skill/proficiency antes de calcular.
  2. Capacidades-alvo: colunas skill, required_proficiency (1-5), criticality (1-5), headcount_needed. Tabela colada ou conversacional.

Inventário grande (>~50 pessoas) é difícil de processar manualmente. Sugira rodar em Claude Code (script mode).

Metodologia (fixa, idêntica ao script)

Para cada skill-alvo:

  1. Cobertos = número de pessoas no inventário com proficiency ≥ required_proficiency para aquela skill.
  2. Gap = max(0, headcount_needed − cobertos).
  3. Cobertura % = min(1, cobertos ÷ headcount_needed) × 100.
  4. Prioridade = criticality × (gap ÷ headcount_needed) (arredonde a 3 casas). Maior = mais urgente.
  5. Recomendação build/buy/borrow:

Read the full file on GitHub · 129 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. 6d ago First seen · 129 lines · 171 tokens per session scan A 75643aaa0571

Subscribe to this mod's changes

skills-gap-analysis is a skill published in the GitHub repository trycomp-io/comp-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 171 tokens to every session and 1,662 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.

Analytics and metricsbrazilclaudeclaude-skillscompensationhrpeople-analytics
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