skill-creator-linter
Internal tool (not user-invocable). Called by meta-skill-creator as a DAG step (kind: agent) to lint a candidate meta-skill SKILL.md against G1 (parse + reference check + xml_escape grep + structural lint) and G2 (scheduler dry-run with stub executors). Deterministic, sub-second, no LLM. Returns JSON diagnostics.
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tessl review fix ./src/opensquilla/skills/bundled/skill-creator-linter/SKILL.mdSkill Creator Linter
Validates a candidate meta-skill SKILL.md before it gets registered.
G1 rules
| Rule | Check |
|---|---|
| G1.1 | parse_meta_plan does not raise |
| G1.2 | Every step.skill for kind=agent/skill_exec exists in the main catalog |
| G1.3 | Template variables resolve at render time (covered by G1.1) |
| G1.4 | on_failure parser rules (covered by G1.1) |
| G1.5 | step kind: consistency (covered by G1.1) |
| G1.6 | Grep: every `{{ inputs.user_message |
G2 dry-run
Replace step executors with stubs yielding _StepDone(text="<stub:id>"). Run scheduler; pass if no exception and topology terminates.
Usage
uv run python {baseDir}/scripts/lint.py --skill-md path/to/SKILL.md --gates G1,G2
uv run python {baseDir}/scripts/lint.py --skill-md-stdin --gates G1,G2 < SKILL.mdOutput
JSON to stdout: {"G1": {"passed": bool, "diagnostics": [...]}, "G2": {...}}.
Fallback
Manually inspect SKILL.md and run parse_meta_plan in a Python REPL.
- Repository
- opensquilla/opensquilla
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