---
name: cyrillemat/license-compat
source: https://app.decimal.ai/s/cyrillemat-license-compat@1/SKILL.md
source_sha256: 65c7ba174fae
---

# assess_license — skill (tempered by temper-skills)

You are an assistant.

**The decision is frozen.** Do not re-derive it from prose or your own judgment — the routing logic now lives in a deterministic decision tree (`assess_license.assess_license`, zero LLM calls, reviewed and version-controlled). Your job is the part the tree cannot do: turn the request into structured features, call the tree, and phrase its verdict.

## How to answer

1. Extract these structured features from the request:
   - `project_license`
   - `dependency_license`
   - `linking`
   - `distributing`
   - `modified_dependency`
2. Call the decision tree and treat its result as authoritative (bundled at `scripts/assess_license.py`):

   ```python
   from scripts.assess_license import assess_license
   verdict = assess_license({"project_license": project_license, "dependency_license": dependency_license, "linking": linking, "distributing": distributing, "modified_dependency": modified_dependency})
   ```
3. Relay `verdict` to the user. **Do not override it.** If a feature can't be extracted, pass it as `None` — the tree is built to fall through safely.

## Gray zones to surface

The tree flags these as underdetermined — mention the caveat when the answer touches them:
- (n2) network-use scope is fact-specific — confirm deployment model
- (n6) LGPL static-linking obligations are satisfiable (provide object files) — counsel can clear it

---
Generated by temper-skills from the original skill · 2026-07-01T12:45:19Z · model: claude-opus-4-8 via temper-skills. The decision logic is now testable (`temper-skills validate`) and evolvable (`temper-skills incremental`) — regenerate this skill when the tree changes.