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 dfmea-designgit 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/dfmea-design)<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/dfmea-design"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/dfmea-design/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/dfmea-design"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/dfmea-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 112 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 177 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00079 | $0.02518 |
| Opus 5 | $0.00039 | $0.01259 |
| Sonnet 5 | $0.00016 | $0.00504 |
| Haiku 4.5 | $0.00008 | $0.00252 |
Grade A, and why
dfmea-design 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 11d 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design FMEA (DFMEA) — AIAG-VDA 2019
Goal
Identify and mitigate design risks by analysing functions, interfaces, and failure modes — so that design weaknesses are resolved before release to manufacturing, and the results feed directly into the DVP, PFMEA, and Control Plan.
Required Execution Checklist
- DFMEA scope defined: boundary diagram complete, inside/outside boundary identified
- Product hierarchy mapped: system → subsystem → component → interface (Step 2)
- All interfaces identified — internal (component-to-component), external (environment), and user/assembly
- All functions defined with Verb + Noun + Measurable Standard (Step 3)
- Each function has a measurable verification method confirmed in the DVP
- Failure chain complete: Effect → Mode → Cause for each function (Step 4)
- All Failure Causes validated using engineering analysis (FEA, calculation) or test evidence — not assumptions
- S/O/D ratings justified using analysis, test data, or design history
- All H-AP items have a defined action, named owner, and target date
- DFMEA → DVP, PFMEA, and drawing linkage verified before release to manufacturing
When to use
- New product development (integrate into APQP Phase 2 — Product Design and Development)
- Design change or engineering change request (ECR)
- Field failure investigation revealing a design root cause
- Periodic design review
- Before handoff to manufacturing (DFMEA drives the PFMEA)
Key difference from PFMEA: DFMEA analyses the design intent and design robustness. PFMEA analyses the manufacturing process. DFMEA comes first — its failure effects and severity ratings inform the PFMEA.
Prerequisites
- Product requirements / specification (engineering drawing, customer spec)
- System block diagram or product breakdown structure
- Interface matrix (if system-level analysis)
- Team: design engineer, systems engineer, quality engineer, reliability (if available)
The 7-Step AIAG-VDA 2019 Approach for DFMEA
What ships with it
1 file 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.
- 11d ago First seen · 241 lines · 79 tokens per session scan A 4f41212eae69
dfmea-design is a skill published in the GitHub repository RBraga01/Quality-Engineering-Skills (28 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 2,518 once invoked, about $0.0004 per session on Opus 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.
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