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Wjttc tester

Skill sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/wjttc-tester

F1-inspired test EXECUTOR + reporter. Runs a test plan, finds and reproduces bugs, audits suite signal integrity, then files a WJTTC report (Brake/Engine/Aero/Tyre/Pit) with a tier verdict. Use when you need to test code, validate functionality, reproduce a failure, or produce a test...From its SKILL.md

Install
npx -y skills add sickn33/agentic-awesome-skills --skill wjttc-tester

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SKILL.md

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WJTTC Championship Tester

"We break things so others never have to know they were broken."

Apply F1-inspired standards to software testing. When brakes must work flawlessly at race pace, so must the code in production. This skill executes test plans and files reports β€” it is the driver, not the engineer. To plan and generate the suite, use wjttc-builder.

When to use this skill

  • Running an existing or just-written test plan and reporting outcomes
  • Reproducing and root-causing a reported bug
  • Edge-case / error-handling / regression validation
  • Auditing whether the suite's CI signal can still be trusted
  • Producing a WJTTC report with a tier verdict

The WJTTC five tiers

Triage every test by blast radius. The first three set severity; Tyre and Pit cover durability and the release gate.

TierSymbolMeaningExamples
Brake🚨Life-critical β€” failure is catastrophicdata loss, auth bypass, payment errors, destructive ops without confirm
Engine⚑Performance-critical β€” wrong results / poor UXAPI accuracy, data transforms, calculations, format compliance, perf
Aero🏁Polish & edge cases β€” minor inconvenienceUI quirks, rare message formatting, optional-feature edges, docs
TyreπŸ›žDurability under load β€” degradation over timestress/volume, concurrency, memory growth, large inputs
PitπŸ”§Release gate β€” the stop that lets you gosmoke/regression suite, CI green, the WJTTC report filed

Test Brake first. If the brakes don't work, nothing else matters.

Step 0 β€” Signal Integrity pre-audit (run BEFORE adding/running anything new)

Red CI is a contract: it must always mean "stop, look, fix." A suite with high coverage but flaky reds is less trustworthy than a smaller suite with zero false alarms β€” because the team has stopped reading the reds. Fix the signal before you add more tests.

Method β€” classify the last 30 days of CI failures:

BucketDefinitionVerdict
Real bugRed mapped to a real defect; fixed by a code changeβœ“ Signal worked
FlakeTiming/network/concurrency noise; passed on rerun, no code changeβœ— Test design defect
InfraMissing secret, runner image change, upstream dep β€” not the codeβœ— Workflow design defect

Signal Integrity Score: SI = Real bugs / (Real bugs + Flakes + Infra) Γ— 100

SI %VerdictAction
100%βœͺMaintain β€” exemplary signal
95–99%β˜… ChampionshipAnnotate any flake immediately
85–94%β—‡ AcceptableSchedule the flake-class fix this sprint
70–84%● ErodingStop adding tests β€” fix flakes first
<70%β—‹ Dead signalBlock merges until signal restored

Eliminate on sight: hard absolute-time perf asserts on shared runners (expect(t).toBeLessThan(30)) β†’ move to a non-gating workflow; network calls in the main suite β†’ mock at the boundary; concurrency tests without explicit ordering; secret-dependent steps that hard-fail when missing β†’ grey-skip.

The inverse rule: green CI that passes while something is broken is equally a violation. If a real bug shipped despite green, write the regression test BEFORE the fix lands.

The conversation is the real gate. CI is supporting infrastructure for the human + AI audit; flaky CI wastes the audit's bandwidth. Signal Integrity keeps CI worthy of the conversation.

Execution loop

  1. Scope β€” what should it do? happy path, edges, failure modes, perf targets, tier of each.
  2. Audit signal (Step 0) before trusting or extending the suite.
  3. Run each test: set up, prepare data, execute, observe actual vs expected, record pass/fail/blocked, capture evidence on failure.
  4. Reproduce every failure deterministically; root-cause it; note the fix.
  5. Tier coverage check β€” confirm every test is tiered:
    faf wjttc --path tests          # audit tier coverage (vendor-neutral)
    faf wjttc --strict --json       # CI gate: non-zero if any test is untiered
    
  6. Report β€” file the WJTTC report (below), then surface the tier verdict.

WJTTC report format

Save reports to ./wjttc-reports/ in the project under test (or a path the user specifies). Never write to an absolute/personal path. Name files YYYY-MM-DD-{project}-{feature}-tests.yaml.

---
# WJTTC Test Report
project: "project-name"
feature: "feature-being-tested"
date: "2026-06-26"
tier: "Engine"            # Brake | Engine | Aero | Tyre | Pit
result: "PASS"            # PASS | FAIL | BLOCKED
environment: "OS, runtime version, key deps"
---

## Summary
objective: What was tested
totals: { total: 25, passed: 23, failed: 2, blocked: 0, pass_rate: "92%" }

## Failures
- name: "Long-string handling"
  tier: "Engine ⚑"
  status: "FAIL"
  steps: ["...", "..."]
  expected: "Handle gracefully"
  actual: "Crash"
  error: "RangeError: ..."
  root_cause: "Unbounded buffer"
  fix: "Cap input length / stream"

## Edge cases
- { case: "Empty string", input: "''", expected: "error", actual: "error", status: "PASS" }
- { case: "Unicode", input: "🏎️", expected: "stored", actual: "stored", status: "PASS" }

## Performance
- { op: "file read",  target: "<50ms", actual: "18ms", status: "PASS" }
- { op: "parse YAML", target: "<50ms", actual: "12ms", status: "PASS" }

## Bugs found
- id: 1
  title: "..."
  severity: "Brake"      # tier doubles as severity
  reproducibility: "Always"
  impact: "Who is affected, how serious"
  fix: "..."

## Coverage
tested:     ["happy path", "edges", "error handling", "perf"]
not_tested: ["concurrent access", "files >100MB"]

## Verdict
tier: "β—† Silver"          # from the tier table below
to_next: ["Fix 2 failing Engine tests", "Add Tyre concurrency tests"]

Tier verdict

Map the pass rate (or SI score) to the single canonical FAF tier ladder. No second ladder, no medals.

ScoreTierSymbol
100%Trophyβœͺ
99%Goldβ˜…
95%Silverβ—†
85%Bronzeβ—‡
70%Green●
55%Yellow●
1%Redβ—‹
0%Whiteβ™‘

The FAF score is deterministic β€” same input, same score. A test report should be just as falsifiable: every verdict traces to a reproducible run. FAF doesn't lie.

WJTTC method notes

  • Test with real data, not just sanitized inputs β€” anonymized production data, messy inputs, production-like volume.
  • Document every failure so it can be reproduced: what failed, how to repro, why it matters, how to fix.
  • Tier before you test β€” severity is the tier, so triage first; faf wjttc enforces that nothing ships untiered.
  • Wire it into CI with TAF receipts so the report is part of the record, not a one-off:
    faf taf setup --write     # create .github/workflows/taf.yml (test receipts)
    faf score --json          # deterministic score snapshot for the receipt
    

Quick checklist (before release)

  • Signal Integrity audited (SI β‰₯ 85%)
  • Brake tests pass β€” zero tolerance
  • Edges + error handling tested
  • Tyre: behaves under load / concurrency
  • faf wjttc --strict green β€” every test tiered
  • Regression (Pit) suite passes
  • WJTTC report filed in ./wjttc-reports/
  • Pass rate β‰₯ 85% (β—‡ Bronze, production-ready)

Resources


Made with 🧑 by wolfejam.dev β€” "We break things so others never have to know they were broken."

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

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