Run a deterministic project audit and generate AUD and CHL artifacts.
npx skills add https://github.com/Longhuiberkeley/specflow --skill specflow-audit
Please help me install this Agent Skill. Skill: specflow-audit Source: https://github.com/Longhuiberkeley/specflow/tree/main/.claude/skills/specflow-audit Command: npx skills add https://github.com/Longhuiberkeley/specflow --skill specflow-audit
This skill provides a zero-question, deterministic audit of a full project to surface health issues, compliance gaps, and readiness artifacts.
Start the deterministic core by running the SpecFlow audit via your assistant's /specflow-init command.
High-intent search queries and answers about installing and using this skill.
A zero-question project health audit works by running a deterministic pipeline of cross-cutting quality checks to establish a trusted baseline. It automatically surfaces compliance gaps and readiness issues without requiring manual input or user intervention.
Adversarial wings are optional stress-test lenses applied during project audits to surface deeper gaps in release readiness. You can run up to 16 distinct adversarial lenses to challenge the project beyond the deterministic baseline.
Generate audit artifacts by creating AUD and CHL files linked directly to your audit results. These traceability artifacts ensure cross-cutting quality checks are documented and connected to the final project health summary.
Yes, you can use uv run specflow project-audit to execute the automated audit pipeline. This command drives the deterministic core and artifact generation processes to deliver comprehensive project health reporting.
The best way to surface compliance gaps is running a deterministic audit core followed by optional adversarial wings. This combination cross-checks traceability goals and stress-tests the project to reveal deep readiness issues.
Yes, the zero-question project audit supports cross-cutting quality checks across software projects. It applies deterministic validation to traceability goals and artifact generation, concluding with a concise summary of scope, coverage, and severity.
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