Agent skill

Skin Health Analyzer

by sickn33 in sickn33/agentic-awesome-skills

Analyze skin health data, identify skin problem patterns, assess skin health status.

MITAuto-check passedProductivity & Automation

Install Skin Health Analyzer

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill skin-health-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills skin-health-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skin-health-analyzer .claude/skills/skin-health-analyzer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skin-health-analyzer
GitHub stars
47k
Used in
2 other repos
Token cost
~293 tokens
SKILL.md length
121 words
Files
2 (incl. references)
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Analyze skin health data, identify skin problem patterns, assess skin health status.

  • Tasks that involve Health and fitness tracking
  • SKILL.md covers Detailed Guide, When to Use, Example and Limitations
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skin Health Analyzer is an agent skill from sickn33/agentic-awesome-skills. Analyze skin health data, identify skin problem patterns, assess skin health status. Supports correlation analysis with nutrition, chronic diseases, and medication data.

Its SKILL.md is about 290 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/detailed-guide.md`).

It sits in Productivity & Automation, covering Health and fitness tracking. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Health and fitness tracking

Example prompts

  • “/skin-health-analyzer”

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skin Health Analyzer loads about 293 tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 121 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~293
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 121 words, ~293 tokens.

Download SKILL.mdSave it as .claude/skills/skin-health-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
skin-health-analyzer
description
Analyze skin health data, identify skin problem patterns, assess skin health status. Supports correlation analysis with nutrition, chronic diseases, and medication data.
risk
safe
source
community
date_added
2026-09-04

皮肤健康分析技能

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use

Use this skill when tackling tasks related to its primary domain or functionality as described above.

Example

User request:

Analyze skin health data, identify skin problem patterns, assess skin health status.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/skin-health-analyzer of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/detailed-guide.md

Open the folder on GitHubat commit b84d35a

Used in 2 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Skin Health Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skin Health Analyzer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skin Health Analyzer this skillsickn33/agentic-awesome-skills47k2 repos~293Automated safety check: PassMIT
Coachfelixrieseberg/claude-coach1991 repos~4.9kAutomated safety check: PassMIT
Fitness Analyzerhuifer/WellAlly-health9605 repos~1.3kAutomated safety check: PassMIT
Master Ajahn Chahxr843/Master-skill4471 repos~2kAutomated safety check: PassCC-BY-NC-SA-4.0
Mental Health Analyzerhuifer/WellAlly-health9605 repos~3.2kAutomated safety check: PassMIT
Nutrition Analyzerhuifer/WellAlly-health9605 repos~3.3kAutomated safety check: PassMIT

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Questions about Skin Health Analyzer

What does Skin Health Analyzer do?

Analyze skin health data, identify skin problem patterns, assess skin health status. Skin Health Analyzer is an agent skill from sickn33/agentic-awesome-skills. Analyze skin health data, identify skin problem patterns, assess skin health status.

When should I use Skin Health Analyzer?

Skin Health Analyzer fits situations like: tasks that involve Health and fitness tracking.

How do I install Skin Health Analyzer in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill skin-health-analyzer -a claude-code`. Or copy the skill folder (skills/skin-health-analyzer in sickn33/agentic-awesome-skills) into .claude/skills/skin-health-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Skin Health Analyzer in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill skin-health-analyzer -a codex`. Or copy the skill folder (skills/skin-health-analyzer in sickn33/agentic-awesome-skills) into .agents/skills/skin-health-analyzer in your project. Codex loads it when a task matches its description.

Can I use Skin Health Analyzer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill skin-health-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skin-health-analyzer, .gemini/skills/skin-health-analyzer, .github/skills/skin-health-analyzer and .opencode/skills/skin-health-analyzer in your project.

What does Skin Health Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Skin Health Analyzer is instructions for the agent only.

Does Skin Health Analyzer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skin Health Analyzer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skin Health Analyzer use?

Skin Health Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skin Health Analyzer use?

About 293 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.

What are the alternatives to Skin Health Analyzer?

Skills that share tags, products or a category with Skin Health Analyzer: Coach (felixrieseberg/claude-coach, 199 stars), Fitness Analyzer (huifer/WellAlly-health, 960 stars), Master Ajahn Chah (xr843/Master-skill, 447 stars) and Mental Health Analyzer (huifer/WellAlly-health, 960 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skin Health Analyzer?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.