القائمة
Run a workflow multiple times and compare outputs to produce a similarity score and pass/fail verdict
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jmagly/aiwg --skill reproducibility-validateيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
WCAG accessibility analysis for color palettes including contrast ratios, compliance checking, and remediation suggestions. Use when user needs to verify colors meet accessibility standards.
Generate, analyze, compare, export, and suggest color palettes using color theory. Use when user asks about colors, palettes, color schemes, or needs help choosing colors for a project.
Research current color trends from Pantone, architecture, film, and design. Use when user asks about trending colors, popular palettes, or wants research-backed color inspiration.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| namespace | aiwg |
| name | reproducibility-validate |
| platforms | ["all"] |
| description | Run a workflow multiple times and compare outputs to produce a similarity score and pass/fail verdict |
You run a workflow multiple times and compare outputs to produce a similarity score and pass/fail verdict, confirming that the workflow produces consistent results across executions.
Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):
| Pattern | Example | Action |
|---|---|---|
| Default validation | "validate reproducibility of onboarding-flow" | Run aiwg reproducibility-validate onboarding-flow |
| Custom run count | "validate with 5 runs" | Run aiwg reproducibility-validate <id> --runs 5 |
| Custom threshold | "validate with 99% threshold" | Run aiwg reproducibility-validate <id> --threshold 0.99 |
| Full options | "3 runs, 90% threshold" | Run aiwg reproducibility-validate <id> --runs 3 --threshold 0.90 |
When triggered:
Extract intent:
Run the command:
# Default: 3 runs, 0.95 threshold
aiwg reproducibility-validate <workflow-id>
# Custom run count
aiwg reproducibility-validate <workflow-id> --runs 5
# Custom threshold
aiwg reproducibility-validate <workflow-id> --threshold 0.99
# Both
aiwg reproducibility-validate <workflow-id> --runs 5 --threshold 0.99
Scoring method:
Pass/fail verdict: If all per-artifact scores meet or exceed the threshold, the validation passes. Any artifact below the threshold is flagged.
Report the result — provide the overall verdict, overall similarity score, and a per-artifact breakdown showing which artifacts passed or failed.
User: "Validate reproducibility of the risk-management-cycle workflow"
Extraction: Workflow ID risk-management-cycle, default 3 runs, default 0.95 threshold
Action:
aiwg reproducibility-validate risk-management-cycle
Response:
Reproducibility Validation: risk-management-cycle
Runs: 3 | Threshold: 0.95 | Result: PASS
Artifact Score Status
.aiwg/risks/risk-register.md 0.97 PASS
.aiwg/risks/mitigation-plan.md 0.96 PASS
.aiwg/working/risk-analysis-draft.md 1.00 PASS (exact match)
Overall score: 0.977 — all 3 artifacts passed.
User: "Validate the SAD generation workflow with 99% threshold and 5 runs"
Extraction: Workflow ID sad-generation, 5 runs, 0.99 threshold
Action:
aiwg reproducibility-validate sad-generation --runs 5 --threshold 0.99
Response:
Reproducibility Validation: sad-generation
Runs: 5 | Threshold: 0.99 | Result: FAIL
Artifact Score Status
.aiwg/architecture/software-architecture.md 0.98 FAIL
.aiwg/architecture/component-diagram.mmd 1.00 PASS (exact match)
.aiwg/architecture/adr-001.md 0.99 PASS
Overall score: 0.990 — 1 of 3 artifacts failed the 0.99 threshold.
Recommendation: Review non-deterministic sections in software-architecture.md,
or lower the threshold to 0.95 if semantic variation is acceptable.
User: "Run 5 iterations of the deployment-planning workflow and check for consistency"
Extraction: Workflow ID deployment-planning, 5 runs, default 0.95 threshold
Action:
aiwg reproducibility-validate deployment-planning --runs 5
Response:
Reproducibility Validation: deployment-planning
Runs: 5 | Threshold: 0.95 | Result: PASS
Artifact Score Status
.aiwg/deployment/deployment-plan.md 0.96 PASS
.aiwg/deployment/runbook.md 0.97 PASS
.aiwg/deployment/rollback-plan.md 0.95 PASS
Overall score: 0.960 — all 3 artifacts passed across 5 runs.
User: "Test whether the test-strategy workflow is deterministic"
Extraction: Workflow ID test-strategy-execution, default 3 runs, default 0.95 threshold
Action:
aiwg reproducibility-validate test-strategy-execution
Response:
Reproducibility Validation: test-strategy-execution
Runs: 3 | Threshold: 0.95 | Result: FAIL
Artifact Score Status
.aiwg/testing/test-plan.md 0.94 FAIL
.aiwg/testing/test-strategy.md 0.97 PASS
.aiwg/testing/coverage-targets.json 1.00 PASS (exact match)
Overall score: 0.970 — 1 of 3 artifacts failed the 0.95 threshold.
Recommendation: Enable `strict` execution mode (`aiwg execution-mode strict`)
to reduce variance in test-plan.md, then re-validate.
If the user's intent is ambiguous:
risk-management-cycle, sad-generation)"