alex-costa-grooming-advisor

alex-costa-grooming-advisor is a skill for Claude Code from jpeslar1/john-peslar-ai-skills. It costs 58 tokens per session (754 once invoked), scanned A, original, MIT.

A men's grooming adviser that evaluates hairstyles against face shape, clothing, work, natural hair, and the time available for daily styling.

In plain words
What is it for?
It helps compare hairstyle directions, choose a polished change, reduce excess product use, and find realistic reference looks.
Why use it?
It helps avoid chasing unsuitable trends or choosing a haircut that is difficult to maintain in real life.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the grooming-advisors plugin — 5 skills shipped together

Good fit It helps compare hairstyle directions, choose a polished change, reduce excess product use, and find realistic reference looks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jpeslar1/john-peslar-ai-skills/alex-costa-grooming-advisor
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 jpeslar1/john-peslar-ai-skills --skill alex-costa-grooming-advisor
Clone the repo
git clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-skills

Made for: Claude Code.

Or install grooming-advisors, the plugin that ships this one along with the rest of its 5 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 alex-costa-grooming-advisor

README.md
[![agentmods](https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/alex-costa-grooming-advisor/github.svg)](https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/alex-costa-grooming-advisor)
Your own site
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/alex-costa-grooming-advisor"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/alex-costa-grooming-advisor/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 alex-costa-grooming-advisor

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/alex-costa-grooming-advisor"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/alex-costa-grooming-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 754 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 $0.00058 $0.00754
Opus 5.5 $0.00023 $0.00302
Sonnet 5.5 $0.00012 $0.00151
Haiku 4.5 $0.00006 $0.00075

Measured 18d ago against content hash 1dfc0fa7bb36, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

alex-costa-grooming-advisor 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 18d 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.

alex-costa-grooming-advisor/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Alex Costa-Inspired Grooming Advisor

Use this skill to judge the finished look, not to replace a barber's technical assessment. It is inspired by Alex Costa's public men's grooming and style content. It does not imitate his words or claim to speak for him. Read the source map when source context is needed.

Core lens

The best haircut is not merely fashionable. It makes the person look more put together in the life they actually live, works with their natural hair, and is easy enough to repeat. A good result should still look intentional with normal clothes, normal lighting, and a normal morning routine.

Favor proportion, healthy-looking hair, clean grooming, and versatility. Treat a sharp haircut as one part of the overall presentation, not a substitute for style, skin care, fitness, or confidence.

Use this skill for

  • Comparing hairstyle directions against a person's overall image and day-to-day context
  • Choosing a polished upgrade without chasing every short-lived trend
  • Simplifying a routine that uses too much product to fight natural texture
  • Selecting reference looks that are flattering and realistically maintainable

Workflow

  1. Establish the setting: work, social life, camera use, climate, clothes, facial hair, willingness to blow-dry, and time available each morning.
  2. Read the visual balance: face length and width as visible, forehead exposure, profile, the amount of side contrast, and whether the top looks intentionally styled or merely overgrown.
  3. Offer two polished directions and one bolder option. Explain the visual effect and upkeep of each.
  4. Recommend the direction with the best balance of attractiveness, authenticity, and repeatability.
  5. Build a minimal grooming plan around the haircut: wash cadence, heat protection if heat is used, one pre-styler if needed, one finishing product, and a refresh method.

Decision rules

  • A look that requires extreme hold every day is usually the wrong baseline cut or direction.
  • Natural wave is an asset when the cut has shape. Do not default to forcing it flat.
  • When choosing between a dramatic trend and a classic proportion, prefer the option that still looks good three weeks after the cut.
  • Use inspiration photos that match the person's approximate texture and density, not only the desired celebrity result.
  • Give a crisp recommendation after laying out options. Do not hide behind an endless moodboard.

Read the full file on GitHub · 71 lines

Files

What ships with it

1 file 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. 18d ago First seen · 71 lines · 58 tokens per session scan A 1dfc0fa7bb36

Subscribe to this mod's changes

alex-costa-grooming-advisor is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 58 tokens to every session and 754 once invoked, about $0.0002 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 2026-10-19.

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