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Grok Bot+18 agentsAgentic Distiller
Audit a local repo's license, scaffold it into an Agent Skills package, and validate the packaging. Local Python, no API key.
$29
Agentic Distiller
Example session with this skill installed
Use agentic-distiller. Distill the local repo fixtures/sample-todo-cli into a skill named todo-cli-maintainer, running the license preflight first.
- Read your context and instructions
- Compiled the agentic distiller
Summary
The bundled fixture passed all three stages: license audit, scaffold, validation.
| Stage | Result |
|---|---|
| License audit | mit, verdict permissive, DISTILL |
| Scaffold | todo-cli-maintainer/ with SKILL.md, examples/, references/, scripts/, templates/ |
| Validation | PASS: frontmatter valid, 4 resource files, 1 Python script, 0 compile errors, 0 restricted-license hits, 0 warnings |
python3 skills/github-repo-skill-distiller/scripts/distill_local_repo.py \
--repo fixtures/sample-todo-cli \
--name todo-cli-maintainer \
--output /tmp/sku03-out
This is the output of the bundled fixture run, not a customer project.
Next steps
Open the generated SKILL.md and fill in the workflows. The scaffold is a skeleton by design. Re-run validate_distilled_skill.py after editing.
Connects securely to your tools. The creator never sees your data.
About this skill
Turn a local repository into an Agent Skills package, with a license check first
Point it at a local repo. It runs a deterministic license preflight, scaffolds a SKILL.md package, and validates the result. Standard-library Python 3.9+ only.
Who this is for: you use a local coding agent (Claude Code, Codex, Cursor, OpenCode) and want to turn a codebase or handbook into a reusable skill without pulling restricted-license code into a commercial package.
What you get
github-repo-skill-distiller:audit_repo_for_distillation.py(verdictsDISTILL,INTERNAL_ONLY,NEEDS_REVIEW),init_distilled_skill.py(scaffold),validate_distilled_skill.py(frontmatter, Python syntax, copyleft leaks), anddistill_local_repo.py(all three in one run).book-skill-distiller: templates and a rubric for distilling a manuscript or domain handbook into small operational skills.- A golden fixture (
fixtures/sample-todo-cli) that reproduces aPASSrun. INSTALL.md,FIXTURE.md,COMPATIBILITY.md, and a commercial single-user license.
Read before you buy
- Works on local paths. It does not clone remote repositories.
- Scaffolding produces a skeleton. You or your agent still fill in the workflows.
- The license verdict is a signal, not legal advice.
- Verified: the Python CLI on macOS arm64. Not verified: skill discovery in Claude Code, Codex, Cursor and OpenCode (see
COMPATIBILITY.md). - A free preflight-only version is on GitHub: qingsongcui/claude-code-skills.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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- Passed all security checks, Safe to install
Requires
macOS
Python