Template

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

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 30fdd666cc60 · 25 Oct 2026Report an issue or request a re-scan

• PublisherReScienceLab GitHub organizationOwner of the repository this skill is read from
• Source folderReScienceLab/opc-skills/templateThe exact folder we audited
• LicenceApache-2.0As the repository states it
• Commit pinned for this verdict30fdd666cc60A new audit runs when the source changes
• Repository statusNot archivedPushed today
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Clear description of what this skill does and when to use it. Include trigger keywords and contexts inline, e.g. "Use when user wants to X, Y, or Z.

---
name: skill-name
description: Clear description of what this skill does and when to use it. Include trigger keywords and contexts inline, e.g. "Use when user wants to X, Y, or Z."
---

# Skill Name

Brief description of the skill and its purpose.

## Prerequisites

List any setup requirements:
- Environment variables needed
- API keys required
- Dependencies (already listed in frontmatter above)

Example setup:
```bash
export SKILL_API_KEY="your_api_key"
```

## Quick Start

How to use the skill quickly:

```bash
cd <skill_directory>
python3 scripts/command.py --option value
```

## Usage Examples

### Example 1: Basic usage

```bash
python3 scripts/script.py "input"
```

Output:
```
Expected output here
```

### Example 2: Advanced usage

```bash
python3 scripts/script.py "input" --flag --option value
```

## Commands

All commands run from the skill directory.

### Command 1
```bash
python3 scripts/script1.py --help
python3 scripts/script1.py "param1" --option value
```

### Command 2
```bash
python3 scripts/script2.py "param1" "param2"
```

## Scripts

- `script1.py` - Description of what this script does
- `script2.py` - Description of what this script does

## API Info

- **Base URL**: (if applicable)
- **Rate Limits**: (if applicable)
- **Auth**: (how authentication works)
- **Docs**: Link to official documentation

## Troubleshooting

### Issue 1

**Symptom**: Description of the problem

**Solution**:
1. Step 1
2. Step 2

### Issue 2

**Symptom**: Description of the problem

**Solution**:
1. Step 1
2. Step 2

## Examples

See `examples/` directory for full workflow examples.

## References

- [Official Documentation](https://example.com)
- [API Reference](https://example.com/api)
- [Related Skill](https://github.com/ReScienceLab/opc-skills/tree/main/skills/related-skill)

## Notes

- Important note 1
- Important note 2

---

## Frontmatter Guide

The YAML frontmatter at the top of this file is required:

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `name` | string | ✓ | Unique identifier (kebab-case) |
| `description` | string | ✓ | What the skill does and when to use it. Include trigger keywords and "Use when..." contexts inline. |

## Creating Your Skill

1. Copy this template to `skills/your-skill-name/`
2. Update the YAML frontmatter
3. Write your SKILL.md documentation
4. Add Python/shell scripts in `scripts/`
5. Add usage examples in `examples/`
6. Update `skills.json` with your skill entry
7. Test with your agent before submitting PR

Excerpt, first 2,536 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.

git clone https://github.com/ReScienceLab/opc-skills
git -C opc-skills checkout 30fdd666cc60

Works in

1. 2026-10-25
   ✓SAFE B 89 / 100

   first audit · source 30fdd666cc60

Questions about Template

• github.com/ReScienceLab/opc-skills/tree/main/template — the audited source at commit 30fdd666cc60 and every finding aboveObserved · 25 Oct 2026

Spotted something wrong? Report a correction · Methodology