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.
npx skills add roberto-mello/lavra --skill create-agent-skillsgit clone --depth 1 https://github.com/roberto-mello/lavraWrote 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/roberto-mello/lavra/create-agent-skills)<a href="https://agentmods.dev/skills/roberto-mello/lavra/create-agent-skills"><img src="https://agentmods.dev/badge/skills/roberto-mello/lavra/create-agent-skills/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/roberto-mello/lavra/create-agent-skills"><img src="https://agentmods.dev/badge/skills/roberto-mello/lavra/create-agent-skills.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 | $0.00034 | $0.01663 |
| Opus 5 | $0.00017 | $0.00831 |
| Sonnet 5 | $0.00007 | $0.00333 |
| Haiku 4.5 | $0.00003 | $0.00166 |
Grade A, and why
creating-agent-skills 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- create-agent-skills — 86% identical, 36 lines differ
- creating-agent-skills — 78% identical, 66 lines differ
How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Agent Skills
This skill teaches how to create effective Claude Code Skills following Anthropic's official specification.
Core Principles
1. Skills Are Prompts
All prompting best practices apply. Be clear, be direct. Assume Claude is smart - only add context Claude doesn't have.
2. Standard Markdown Format
Use YAML frontmatter + markdown body. No XML tags - use standard markdown headings.
---
name: my-skill-name
description: What it does and when to use it
---
# My Skill Name
## Quick Start
Immediate actionable guidance...
## Instructions
Step-by-step procedures...
## Examples
Concrete usage examples...
3. Progressive Disclosure
Keep SKILL.md under 500 lines. Split detailed content into reference files. Load only what's needed.
my-skill/
├── SKILL.md # Entry point (required)
├── reference.md # Detailed docs (loaded when needed)
├── examples.md # Usage examples
└── scripts/ # Utility scripts (executed, not loaded)
4. Effective Descriptions
The description field enables skill discovery. Include both what the skill does AND when to use it. Write in third person.
Good:
description: Extracts text and tables from PDF files, fills forms, merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
Bad:
description: Helps with documents
Skill Structure
Required Frontmatter
| Field | Required | Max Length | Description |
|---|---|---|---|
name |
Yes | 64 chars | Lowercase letters, numbers, hyphens only |
description |
Yes | 1024 chars | What it does AND when to use it |
allowed-tools |
No | - | Tools Claude can use without asking |
model |
No | - | Specific model to use |
Naming Conventions
Use gerund form (verb + -ing) for skill names:
processing-pdfsanalyzing-spreadsheetsgenerating-commit-messagesreviewing-code
What ships with it
25 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.
- references/api-security.md 1.9 KB
- references/be-clear-and-direct.md 2.7 KB
- references/best-practices.md 9.1 KB
- references/common-patterns.md 3.2 KB
- references/core-principles.md 3.8 KB
- references/executable-code.md 2.7 KB
- references/iteration-and-testing.md 4.5 KB
- references/official-spec.md 5.4 KB
- references/recommended-structure.md 3.9 KB
- references/skill-structure.md 6.7 KB
- references/using-scripts.md 3.0 KB
- references/using-templates.md 2.9 KB
- references/workflows-and-validation.md 3.5 KB
- templates/router-skill.md 1.5 KB
- templates/simple-skill.md 636 B
- workflows/add-reference.md 1.4 KB
- workflows/add-script.md 1.4 KB
- workflows/add-template.md 1.3 KB
- workflows/add-workflow.md 1.4 KB
- workflows/audit-skill.md 1.5 KB
- workflows/create-domain-expertise-skill.md 2.4 KB
- workflows/create-new-skill.md 2.6 KB
- workflows/get-guidance.md 1.8 KB
- workflows/upgrade-to-router.md 1.9 KB
- workflows/verify-skill.md 1.7 KB
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.
- 9d ago First seen · 309 lines · 34 tokens per session scan A 07c0a97d51f7
creating-agent-skills is a skill published in the GitHub repository roberto-mello/lavra (51 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 1,663 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
agent-framework-py-release
Use when cutting a Python release for the microsoft/agent-framework monorepo. Triggers on "bump py versions", "cut a python release", "prepare release PR for python", "release py packages", "bump python to X.Y.Z", or similar requests to bump Python package versions and prepare a release PR. Handles all four lifecycle…
python-package-management
Guide for managing packages in the Agent Framework Python monorepo, including creating new connector packages, versioning, and the lazy-loading pattern. Use this when adding, modifying, or releasing packages.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
build-and-test
How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.
python-feature-lifecycle
Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.
python-code-quality
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.