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Initial commit: Harbor evaluation framework agent skills
Three skills for the Harbor evaluation framework: - harbor-task: Create evaluation tasks (task.toml, instruction.md, Dockerfile, tests, solutions) - harbor-adapter: Build benchmark adapters converting external datasets to Harbor format - harbor-cli: CLI command reference and usage patterns
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‎.claude-plugin/marketplace.json‎

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{
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"name": "harbor-skills",
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"owner": "harbor-framework",
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"version": "1.0.0",
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"description": "Skills for creating, adapting, and running Harbor evaluation tasks",
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"plugins": [
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{
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"name": "harbor-skills",
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"description": "Complete skill set for Harbor evaluation framework",
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"skills": ["harbor-task", "harbor-adapter", "harbor-cli"],
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"strict": false,
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"source": "."
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}
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]
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}

‎.github/workflows/validate-skills.yml‎

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name: Validate Skills
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on:
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push:
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branches: [main]
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paths:
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- 'skills/**'
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pull_request:
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branches: [main]
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paths:
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- 'skills/**'
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jobs:
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validate:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Node.js
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uses: actions/setup-node@v4
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with:
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node-version: '20'
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- name: Install skills-ref CLI
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run: npm install -g @anthropic-ai/skills-ref
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- name: Validate harbor-task
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run: skills-ref validate ./skills/harbor-task
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- name: Validate harbor-adapter
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run: skills-ref validate ./skills/harbor-adapter
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- name: Validate harbor-cli
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run: skills-ref validate ./skills/harbor-cli

‎.gitignore‎

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# OS
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.DS_Store
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Thumbs.db
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# Editors
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Python
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__pycache__/
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*.py[cod]
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*.egg-info/
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dist/
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build/
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.venv/
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venv/
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# Node
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node_modules/
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# Environment
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.env
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.env.local

‎AGENTS.md‎

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# harbor-skills — Agent Quick Reference
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Agent Skills for the [Harbor](https://github.com/harbor-framework/harbor) evaluation framework. Skills follow the [Agent Skills open standard](https://agentskills.io).
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## Skill Format Quick Reference
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Each skill lives in `skills/<skill-name>/` with a required `SKILL.md`:
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**YAML frontmatter** (required):
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- `name`: kebab-case, max 64 chars, must match directory name
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- `description`: max 1024 chars, no `<` or `>` characters
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**Optional frontmatter:**
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- `license`, `compatibility`, `metadata`, `allowed-tools`
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**Markdown body:** Instructions loaded on trigger. Keep under 500 lines.
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**Bundled resources** (optional subdirectories):
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- `references/` — loaded as needed (detailed tables, examples)
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- `scripts/` — executed, not loaded into context
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- `assets/` — used in output (templates, images)
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## Harbor Documentation Map
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| Resource | Location |
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|----------|----------|
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| Harbor repo | https://github.com/harbor-framework/harbor |
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| Harbor docs | https://harborframework.com/docs |
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| Harbor cookbook | https://github.com/harbor-framework/harbor-cookbook |
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| Task config model | `src/harbor/models/task/config.py` |
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| Verifier | `src/harbor/verifier/verifier.py` |
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| CLI entry points | `src/harbor/cli/` |
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| Agent base class | `src/harbor/agents/base.py` |
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| Adapter system | `src/harbor/adapters/` |
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## Conventions
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- Each skill directory has a `SKILL.md` (required) plus optional `references/` subdirectory
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- Keep `SKILL.md` body < 500 lines; put detailed tables and walkthroughs in `references/`
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- Descriptions should be slightly "pushy" — err toward triggering rather than not
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- No `scripts/` — Harbor already has CLI tools for scaffolding and validation (`harbor tasks init`, `harbor adapters init`)
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- The `name` frontmatter field must match the directory name exactly
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## Common Pitfalls
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- Don't exceed 1024 chars in the `description` frontmatter field
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- Don't use `<` or `>` in the description field (breaks YAML parsing)
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- Don't duplicate content between `SKILL.md` body and `references/` — body should point to references
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- Don't write skills that wrap simple CLI commands — skills should teach complex multi-step workflows
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- Don't put Harbor version-specific details in skills without noting the version
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## Validation & Testing
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- `skills-ref validate ./skills/<name>` to check frontmatter and structure
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- CI runs validation on every push and PR (`.github/workflows/validate-skills.yml`)
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- Use the skill-creator workflow to test skills with real prompts before publishing

‎CLAUDE.md‎

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AGENTS.md

‎LICENSE‎

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‎README.md‎

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# harbor-skills
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Agent Skills for the [Harbor](https://github.com/harbor-framework/harbor) evaluation framework. These skills teach AI coding agents how to create evaluation tasks, build benchmark adapters, and use the Harbor CLI effectively.
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Skills follow the [Agent Skills open standard](https://agentskills.io).
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## Skills
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| Skill | Description |
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|-------|-------------|
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| **harbor-task** | Create Harbor evaluation tasks from scratch — task.toml, instruction.md, Dockerfiles, tests, and solutions |
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| **harbor-adapter** | Create benchmark adapters that convert external datasets (SWE-bench, GAIA, SimpleQA, etc.) into Harbor task format |
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| **harbor-cli** | Harbor CLI command reference and usage patterns for running evaluations, managing datasets, and viewing results |
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## Installation
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```
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/plugin marketplace add harbor-framework/harbor-skills
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```
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## Requirements
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- [Harbor](https://github.com/harbor-framework/harbor) (`uv tool install harbor`)
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- Docker (for running evaluation environments)
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## License
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Apache 2.0 — see [LICENSE](LICENSE).

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