Agent skill · Audited from source

apply-anthropic-skill-best-practices

skill · neolabhq/context-engineering-kitGPL-3.0 licenceAudited 26 Oct 2026 · source c64c9eb3b29e

★ 1,788pushed 60 days ago
✓SAFEGrade B · 89/100 · 26 Oct 2026 · c64c9eb
1,788repo stars · whole neolabhq/context-engineering-kit

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit c64c9eb3b29e and found no filesystem, network or shell access and no hard-coded secrets. What it does: Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

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Cite this page

ModelsAtlas. “apply-anthropic-skill-best-practices (neolabhq/context-engineering-kit)”. Retrieved 26 Oct 2026. https://modelsatlas.com/skills/neolabhq/apply-anthropic-skill-best-practices

Trust audit

Audit 0.4.1 · source read 26 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha c64c9eb3b29e · 26 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherneolabhq GitHub organizationOwner of the repository this skill is read from
  • Source folderneolabhq/context-engineering-kit/skills/apply-anthropic-skill-best-practicesThe exact folder we audited
  • LicenceGPL-3.0As the repository states it
  • Commit pinned for this verdictc64c9eb3b29eA new audit runs when the source changes
  • Repository statusNot archivedLast push 60 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

---
name: apply-anthropic-skill-best-practices
description: Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
---

# Anthropic's official skill authoring best practices

Apply Anthropic's official skill authoring best practices to your skill.

Good Skills are concise, well-structured, and tested with real usage. This guide provides practical authoring decisions to help you write Skills that Claude can discover and use effectively.

## Core principles

### Skill Metadata

Not every token in your Skill has an immediate cost. At startup, only the metadata (name and description) from all Skills is pre-loaded. Claude reads SKILL.md only when the Skill becomes relevant, and reads additional files only as needed. However, being concise in SKILL.md still matters: once Claude loads it, every token competes with conversation history and other context.

### Test with all models you plan to use

Skills act as additions to models, so effectiveness depends on the underlying model. Test your Skill with all the models you plan to use it with.

**Testing considerations by model**:

- **Claude Haiku** (fast, economical): Does the Skill provide enough guidance?
- **Claude Sonnet** (balanced): Is the Skill clear and efficient?
- **Claude Opus** (powerful reasoning): Does the Skill avoid over-explaining?

What works perfectly for Opus might need more detail for Haiku. If you plan to use your Skill across multiple models, aim for instructions that work well with all of them.

## Skill structure

<Note>
  **YAML Frontmatter**: The SKILL.md frontmatter supports two fields:

- `name` - Human-readable name of the Skill (64 characters maximum)
- `description` - One-line description of what the Skill does and when to use it (1024 characters maximum)

  For complete Skill structure details, see the [Skills overview](docs.claude.com/en/docs/agents-and-tools/agent-skills/overview#skill-structure).
</Note>

### Naming conventions

Use consistent naming patterns to make Skills easier to reference and discuss. We recommend using **gerund form** (verb + -ing) for Skill names, as this clearly describes the activity or capability the Skill provides.

**Good naming examples (gerund form)**:

- "Processing PDFs"
- "Analyzing spreadsheets"
- "Managing databases"
- "Testing code"
- "Writing documentation"

**Acceptable alternatives**:

- Noun phrases: "PDF Processing", "Spreadsheet Analysis"
- Action-oriented: "Process PDFs", "Analyze Spreadsheets"

**Avoid**:

- Vague names: "Helper", "Utils", "Tools"
- Overly generic: "Documents", "Data", "Files"
- Inconsistent patterns within your skill collection

Consistent naming makes it easier to:

- Reference Skills in documentation and conversations
- Understand what a Skill does at a glance
- Organize and search through multiple Skills
- Maintain a professional, cohesive skill library

### Writing effective descriptions

The `description` field enables Skill discovery and should include both what the Skill does and when to use it.

<Warning>
  **Always write in third person**. The description is injected into the system prompt, and inconsistent point-of-view can cause discovery problems.

- **Good:** "Processes Excel files and generates reports"
- **Avoid:** "I can help you process Excel files"
- **Avoid:** "You can use this to process Excel files"
</Warning>

**Be specific and include key terms**. Include both what the Skill does and specific triggers/contexts for when to use it.

Each Skill has exactly one description field. The description is critical for skill selection: Claude uses it to choose the right Skill from potentially 100+ available Skills. Your description must provide enough detail for Claude to know when to select this Skill, while the rest of SKILL.md provides the implementation details.

Effective examples:

**PDF Processing skill:**

```yaml  theme={null}
description: Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
```

**Excel Analysis skill:**

```yaml  theme={null}
description: Analyze Excel spreadsheets, create pivot tables, generate charts. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.
```

**Git Commit Helper skill:**

```yaml  theme={null}
description: Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.
```

Avoid vague descriptions like these:

```yaml  theme={null}
description: Helps with documents
```

```yaml  theme={null}
description: Processes data
```

```yaml  theme={null}
description: Does stuff with files
```

### Progressive disclosure patterns

SKILL.md serves as an overview that points Claude to detailed materials as needed, like a table of contents in an onboarding guide. For an explanation of how progressive disclosure works, see [How Skills work](docs.claude.com/en/docs/agents-and-tools/agent-skills/overview#how-skills-work) in the overview.

**Practical guidance:**

- Keep SKILL.md body under 500 lines for optimal performance
- Split content into separate files when approaching this limit
- Use the patterns below to organize instructions, code, and resources effectively

#### Visual overview: From simple to complex

A basic Skill starts with just a SKILL.md file containing metadata and instructions:

<img src="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=87782ff239b297d9a9e8e1b72ed72db9" alt="Simple SKILL.md file showing YAML frontmatter and markdown body" data-og-width="2048" width="2048" data-og-height="1153" height="1153" data-path="images/agent-skills-simple-file.png" data-optimize="true" data-opv="3" srcset="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?w=280&fit=max&a

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit c64c9eb

Download folder ↗
git clone https://github.com/neolabhq/context-engineering-kit
git -C context-engineering-kit checkout c64c9eb3b29e

The author documents no install command, so this uses the repository directly. Our verdict covers commit c64c9eb3b29e only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source c64c9eb3b29e

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about apply-anthropic-skill-best-practices

What does the apply-anthropic-skill-best-practices skill do?
Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. Includes CodeRabbit open-source alternative.
Is apply-anthropic-skill-best-practices safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can apply-anthropic-skill-best-practices access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (c64c9eb3b29e), read on 2026-10-26. The repository is watched, and a new audit runs when it changes — this is the first audit.

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