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- Dotclaude
- Debug State
debug-state_skill
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3 weeks ago
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2 months ago
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Readme & install
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Installation
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npx veilstart add skill shotaiuchi/dotclaude --skill debug-state- SKILL.md2.0 KB
Overview
This skill inspects application state to locate corruption, inconsistencies, and unexpected mutations. It provides a structured investigation flow that captures snapshots, traces transitions, and evaluates caches and side effects. Use it to form evidence-backed hypotheses about root causes and to produce a confidence-rated findings report.
How this skill works
The skill captures state snapshots and compares them against expected invariants to highlight invalid or partially-initialized fields. It traces state transitions and validates state-machine rules, then inspects caching layers, memoization, and unintended side effects. Findings are reported with confidence ratings (High, Medium, Low, Inconclusive) and include suggested verification steps.
When to use it
- When variables or objects contain unexpected or invalid values
- When state transitions produce incorrect or out-of-order behavior
- When caches return stale or inconsistent data
- When global/shared state appears mutated unexpectedly
- When debugging intermittent data corruption or race conditions
Best practices
- Capture deterministic state snapshots at meaningful checkpoints and store them for comparison
- Verify business invariants and preconditions at each transition point
- Instrument state transition boundaries with timestamps and origin metadata
- Validate cache keys, TTLs, and invalidation paths in unit and integration tests
- Look for implicit state changes in getters, closures, and event handlers and add explicit tests
Example use cases
- Compare runtime state snapshot to the canonical model to identify fields that were never initialized
- Trace a failing workflow to find an out-of-order transition that violated preconditions
- Diagnose cache poisoning by comparing cache entries with source-of-truth and checking key collisions
- Detect unintended mutation from a shared global by locating closure captures or event handlers that modify state
- Validate that teardown and cleanup routines fully restore expected state after tests
FAQ
Select points before and after major transitions, on entry/exit of critical services, and around external system boundaries to maximize diagnostic value.
What evidence supports a High confidence finding?
High confidence requires reproducible state differences, matching transition traces, or direct logs showing the mutation or cache operation that caused the issue.