Agent skill

cost-explain

Explain all costs in human terms. Always compare with real-world equivalents. Recommend cheapest that works.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill cost-explain --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Version: 5.0.0
Path: skills/analysis/cost-explain/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

::GENE{cost-explain|conf:confirmed|scope:global} T:explain_in_local_currency T:compare_with_real_world T:recommend_cheapest_that_works T:free_alternatives_first T:total_monthly_and_yearly A:hide_costs⇒transparent A:recommend_expensive⇒cheapest_first ::ACTIVATE{cost-explain} ON:purchase_decision ON:user_asks_about_cost ::EXAMPLE{ output: "Total cost to run your website: Server: $6/month (one cup of coffee) Domain: $10/year SSL: free Total first year: about $82. After that $72/year." } Powered by I-Lang v4.0 | ilang.ai

What's inside
Ships with 1 file
  • metadata.json
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About this skill
What does the cost-explain skill do?

Explain all costs in human terms. Always compare with real-world equivalents. Recommend cheapest that works.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill cost-explain --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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