Borrowing it
Nothing to install: this file belongs to YougLin-dev/Aha-Loop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/YougLin-dev/Aha-Loop/main/.agents/skills/skill-creator/SKILL.mdgit clone --depth 1 https://github.com/YougLin-dev/Aha-LoopWrote 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.
[](https://agentmods.dev/skills/youglin-dev/aha-loop/skill-creator)<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/skill-creator"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/skill-creator/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.
<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/skill-creator"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00985 |
| Opus 5.5 | $0.00016 | $0.00394 |
| Sonnet 5.5 | $0.00008 | $0.00197 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
skill-creator 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Creates well-structured Skills following Anthropic's official best practices.
When to Create a Skill
Good candidates:
- Repeated 3+ times
- Complex multi-step workflows
- Error-prone processes
- Domain-specific knowledge
Not worth codifying:
- One-off tasks
- Highly variable processes
- Trivial single-step actions
SKILL.md Structure
Required Frontmatter
---
name: processing-documents
description: "Processes documents and extracts data. Use when working with PDF or Word files. Triggers on: process document, extract data."
---
Field requirements:
| Field | Rules |
|---|---|
name |
Max 64 chars, lowercase letters/numbers/hyphens only |
description |
Max 1024 chars, non-empty, use third person |
Naming Convention
Use gerund form (verb + -ing):
processing-pdfsanalyzing-spreadsheetsmanaging-databases
Avoid: helper, utils, tools, anthropic-*, claude-*
Writing Descriptions
Always use third person (injected into system prompt):
# Good
description: "Processes Excel files and generates reports"
# Avoid
description: "I can help you process Excel files"
description: "You can use this to process Excel files"
Be specific and include triggers:
description: "Analyzes BigQuery data and generates reports. Use when querying sales metrics or creating dashboards. Triggers on: analyze data, bigquery report, sales metrics."
Skill Body Template
# [Skill Title]
[One sentence describing what this skill does]
## Quick Start
[Minimal example to get started - under 50 tokens]
## Process
1. [Step 1]
2. [Step 2]
3. [Step 3]
## Advanced Features
**[Feature A]**: See [FEATURE_A.md](FEATURE_A.md)
**[Feature B]**: See [FEATURE_B.md](FEATURE_B.md)
Best Practices
Be Concise
Only add context Claude doesn't already have. Challenge each piece:
- "Does Claude really need this explanation?"
- "Can I assume Claude knows this?"
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.
- 2mo ago First seen · 173 lines · 41 tokens per session scan A 509ba0b98a20
skill-creator is a skill published in the GitHub repository YougLin-dev/Aha-Loop (178 stars, last pushed 9mo ago), licensed MIT. It adds 41 tokens to every session and 985 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 2026-08-30.
skill-creator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-creatorYougLin-dev/Aha-Loop | Skill | 178 | 9mo ago | MIT | A | 41 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |