markdown-token-optimizer

markdown-token-optimizer is a skill for Claude Code from Tyler-R-Kendrick/agent-skills. It costs 58 tokens per session (333 once invoked), scanned A, original, MIT.

A tool for finding and reducing unnecessary text in Markdown files while keeping the useful meaning. Tokens are the pieces of text an AI model reads and processes.

In plain words
What is it for?
Use it to review documentation or skill files, measure approximate token use, find verbosity and duplication, and receive suggestions for making the files shorter.
Why use it?
Large or repetitive Markdown files use more tokens, which can make AI-assisted work less efficient and harder to navigate.

Skill for Claude Code

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

Part of the agent-skills plugin — 57 skills shipped together

Good fit Use it to review documentation or skill files, measure approximate token use, find verbosity and duplication, and receive suggestions for making the files shorter.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tyler-r-kendrick/agent-skills/markdown-token-optimizer
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 Tyler-R-Kendrick/agent-skills --skill markdown-token-optimizer
Clone the repo
git clone --depth 1 https://github.com/Tyler-R-Kendrick/agent-skills

Made for: Claude Code.

Or install agent-skills, the plugin that ships this one along with the rest of its 57 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 markdown-token-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/markdown-token-optimizer/github.svg)](https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/markdown-token-optimizer)
Your own site
<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/markdown-token-optimizer"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/markdown-token-optimizer/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 markdown-token-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/markdown-token-optimizer"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/markdown-token-optimizer.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 333 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 $0.00333
Opus 5 $0.00029 $0.00167
Sonnet 5 $0.00012 $0.00067
Haiku 4.5 $0.00006 $0.00033

Measured 9d ago against content hash 669b9cb237a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

markdown-token-optimizer 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.

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.

.agent/skills/markdown-token-optimizer/SKILL.md · 35 lines

What it actually says

Markdown Token Optimizer

This skill analyzes markdown files and suggests optimizations to reduce token consumption while maintaining clarity.

When to Use

  • Optimize markdown files for token efficiency
  • Reduce SKILL.md file size or check for bloat
  • Make documentation more concise for AI consumption

Workflow

  1. Count - Calculate tokens (~4 chars = 1 token), report totals
  2. Scan - Find patterns: emojis, verbosity, duplication, large blocks
  3. Suggest - Table with location, issue, fix, savings estimate
  4. Summary - Current/potential/savings with top recommendations

See ANTI-PATTERNS.md for detection patterns and OPTIMIZATION-PATTERNS.md for techniques.

Rules

  • Suggest only (no auto-modification)
  • Preserve clarity in all optimizations
  • SKILL.md target: <500 tokens, references: <1000 tokens

References

Files

What ships with it

2 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 · 35 lines · 58 tokens per session scan A 669b9cb237a7

Subscribe to this mod's changes

markdown-token-optimizer is a skill published in the GitHub repository Tyler-R-Kendrick/agent-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 333 once invoked, about $0.0003 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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