Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add RBraga01/Quality-Engineering-Skills --skill 8d-problem-solvinggit clone --depth 1 https://github.com/RBraga01/Quality-Engineering-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rbraga01/quality-engineering-skills/8d-problem-solving)<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/8d-problem-solving"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/8d-problem-solving/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/8d-problem-solving"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/8d-problem-solving.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.02781 |
| Opus 5.5 | $0.00034 | $0.01112 |
| Sonnet 5.5 | $0.00017 | $0.00556 |
| Haiku 4.5 | $0.00009 | $0.00278 |
Grade A, and why
8d-problem-solving scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
8D Problem Solving
Goal
Produce a validated, audit-ready 8D report with proven root causes and effective corrective actions that prevent recurrence — accepted by the customer and filed in the quality system.
Required Execution Checklist
Quick-reference for agents and practitioners. All items must be complete before D8 closure.
- D0: Safety and regulatory risk assessed and documented
- D0: Suspect material identified and physically segregated
- D1: Cross-functional team assembled with champion identified
- D2: Problem described with measured values, part number, quantity, and Is/Is-Not
- D3: Containment implemented (past tense) with date and effectiveness evidence
- D4: Root cause of occurrence identified and validated with data or experiment
- D4: Root cause of escape identified and validated with data or experiment
- D5: One PCA per root cause selected, with verification plan
- D6: PCA implemented; verification data confirms zero recurrence; ICA formally removed
- D7: PFMEA, Control Plan, and Work Instructions updated (revision numbers documented)
- D7: Horizontal deployment assessed and actioned
- D8: Champion sign-off obtained; customer notified of closure
When to use
Use 8D for customer-reported defects, internal escapes reaching downstream processes, field failures, or any non-conformance requiring documented root cause analysis. Mandatory for most automotive OEM customer complaints (Ford 8D, BMW G8D, VW QMSS, Stellantis).
Prerequisites
- Defect or failure clearly identified and quantified
- Access to affected parts, process records, and measurement data
- Cross-functional team availability (quality, production, engineering minimum)
Workflow
D0 — Emergency Response (before the team is assembled)
Ask these questions first:
- Is this a safety or regulatory issue? If yes → escalate immediately, notify customer
- Is there any potential for a product recall or regulatory event (safety, emissions, homologation compliance)?
- If yes → STOP the standard 8D timeline. Escalate immediately to management and regulatory owner. Do not proceed without documented management awareness. The 8D continues only with their authorisation.
- Are suspect parts already at the customer or in the field? If yes → launch containment now (D3) before completing D1-D2
- Capture initial evidence: photos, batch numbers, lot traceability, measurement data
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 280 lines · 86 tokens per session scan A 69fc87e295f0
8d-problem-solving is a skill published in the GitHub repository RBraga01/Quality-Engineering-Skills (43 stars, last pushed 7d ago), licensed MIT. It adds 86 tokens to every session and 2,781 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
8d-problem-solving compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 8d-problem-solvingRBraga01/Quality-Engineering-Skills | Skill | 43 | 7d ago | MIT | A | 86 | Claude Code, Codex |
| brutal-honesty-reviewproffesor-for-testing/agentic-qe | Skill | 525 | yesterday | MIT | A | 72 | Claude Code |
| bug-reporting-excellenceproffesor-for-testing/agentic-qe | Skill | 525 | yesterday | MIT | A | 33 | Claude Code |
| exploratory-testing-advancedproffesor-for-testing/agentic-qe | Skill | 525 | yesterday | MIT | A | 45 | Claude Code |
| debug-loopproffesor-for-testing/agentic-qe | Skill | 525 | yesterday | MIT | A | 27 | Claude Code |
| agent-refinementproffesor-for-testing/agentic-qe | Skill | 525 | yesterday | MIT | A | 15 | Claude Code |
| performance-analysisproffesor-for-testing/agentic-qe | Skill | 525 | yesterday | MIT | A | 20 | Claude Code |