.claude/skills/invariant-guarded-debuggingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Guard diagnosis and repair with falsifiable hypotheses, executable invariants, verified guard integrity, semantic boundaries, state-drift checks, rollback, adversarial checks, and trajectory resets.
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.claude/skills/invariant-guarded-debuggingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/invariant-guarded-debuggingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/invariant-guarded-debuggingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @pinguy/invariant-guarded-debuggingclawhub inspect @pinguy/invariant-guarded-debugging --version 0.1.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:3fa3b5622f5b5c478e08e11db68f57ac10ce36d1b9d519461411dce9cac24f64skill-card.mdSKILL.mdInitial release of invariant-guarded-debugging, a robust framework for safe diagnosis and repair. - Introduces principles for guarding diagnosis and repair with falsifiable hypotheses, executable invariants, and verified guard integrity. - Outlines procedures for identifying, protecting, and verifying known-good states and components. - Provides detailed steps for capturing evidence and validating operational boundaries prior to any mutation. - Offers structured adversarial reasoning modes to challenge diagnoses before making changes. - Includes templates and practical examples for receipts, protected-target ledgers, and invariant checks. - Emphasizes rollback strategies, semantic boundaries, and prevention of accidental state drift or component damage.