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Testing · Version 1.3.0 · Reviewed 2026-08-02

Critical Path Coverage Planner

Design confidence for critical branch inventory and risk-weighted coverage plan with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Ranks uncovered branches by business and failure risk, then designs focused tests for the paths that matter most. It grounds the decision in branch coverage, call graphs, error paths, authorization checks, transaction boundaries, and incident history and explicitly prevents optimizing total line coverage while authentication, rollback, and recovery branches remain untested.

₹199 one-time

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What this skill helps you do

  • Critical branch inventory
  • Risk-weighted coverage plan
  • Coverage gain verification

How Critical Path Coverage Planner works

You provide

Suite structure, failure history, and the risk to cover

It inspects

Nondeterminism sources affecting critical branch inventory

It decides

A risk-weighted coverage plan plan at the cheapest useful level

You verify

The test fails when the behavior is broken, not only passes

What it checks first

Critical Path Coverage Planner ranks uncovered branches by business and failure risk, then designs focused tests for the paths that matter most. It grounds the decision in branch coverage, call graphs, error paths, authorization checks, transaction boundaries, and incident history and explicitly prevents optimizing total line coverage while authentication, rollback, and recovery branches remain untested. Use it when the work involves Critical branch inventory, Risk-weighted coverage plan, Coverage gain verification.

  1. Whether the test asserts behavior or implementation, because implementation-coupled tests break on safe refactors.
  2. Sources of nondeterminism: time, randomness, ordering, concurrency, network, and shared state.
  3. Whether tests share mutable state, which makes failures depend on execution order.
  4. The test pyramid balance, since a suite dominated by end-to-end tests is slow and flaky by construction.
  5. Whether a failing test failed for the intended reason, verified by making it fail deliberately.

Failure modes it recognizes

  • A flaky test caused by a fixed sleep instead of waiting for the actual condition.
  • Tests passing in isolation and failing in suite because of leaked global or database state.
  • Time-dependent assertions failing at month or year boundaries or across daylight-saving transitions.
  • Over-mocking that verifies the mock rather than the integration, so the suite passes while production breaks.
  • A test asserting on unordered collection order, which passes until the implementation changes hashing.
  • Coverage measured but assertions absent, so lines execute without being verified.

Answers it will reject

  • Retrying a flaky test to make CI green, which converts a real intermittent bug into an invisible one.
  • Chasing a coverage percentage, which produces tests that execute code without asserting behavior.
  • Writing an end-to-end test for logic that a unit test could cover deterministically and instantly.
  • Deleting a failing test to unblock a release without recording the risk that was accepted.

Decision rules it applies

  • Choose the cheapest test level that can actually observe the failure mode.
  • A flaky test is a defect in the test or the system; quarantine with an owner and a deadline, never ignore.
  • Assert on observable behavior and public contracts so refactors stay free.
  • Every bug fix gets a test that fails before the fix and passes after it.

Evidence it asks for

  • Run the suite in randomized order to expose inter-test dependencies.
  • Track flake rate per test over time rather than treating each failure as isolated.
  • Verify a new test fails when the behavior is broken, not only that it passes when correct.

The method inside

  1. Establish the current state and the constraint that actually limits critical branch inventory.
  2. Separate the requested solution from the underlying problem in risk-weighted coverage plan, and name the assumptions carrying the most risk.
  3. Compare only viable options for coverage gain verification against weighted constraints, cost of reversal, and operational ownership.
  4. Commit to a sequenced recommendation with success criteria, guardrails, and the observation that would reverse it.

Deliverables

  • Critical branch inventory assessment
  • Risk-weighted coverage plan decision and action plan
  • Coverage gain verification verification checklist

Evidence requirements

  • System risks and architecture boundaries
  • Existing tests, failures, and coverage evidence
  • Release cadence and supported environments

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Apply the critical path coverage planner to our current critical branch inventory work. We need a concrete decision, bounded changes, and evidence that the result is correct.

Expected output

Start with branch coverage, call graphs, error paths, authorization checks, transaction boundaries, and incident history. The highest-risk failure is optimizing total line coverage while authentication, rollback, and recovery branches remain untested. Fund the gaps whose failure combines high impact, plausible reachability, and weak existing detection. Verify the result by measuring branch coverage again and proving each new test fails when its critical path is broken.

Boundaries and compatibility

Ideal for

  • Critical branch inventory: produce a decision or artifact grounded in supplied evidence.
  • Risk-weighted coverage plan: produce a decision or artifact grounded in supplied evidence.
  • Coverage gain verification: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Chasing line coverage without risk coverage
  • Replacing integration evidence with mocks

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.