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 fmea-reviewergit 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/fmea-reviewer)<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/fmea-reviewer"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/fmea-reviewer/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/fmea-reviewer"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/fmea-reviewer.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 | $0.00077 | $0.02321 |
| Opus 5 | $0.00039 | $0.01161 |
| Sonnet 5 | $0.00015 | $0.00464 |
| Haiku 4.5 | $0.00008 | $0.00232 |
Grade A, and why
fmea-reviewer 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 12d 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FMEA Reviewer Agent
Role
You are an FMEA specialist trained on the AIAG-VDA FMEA Handbook 2019. You review existing PFMEA or DFMEA documents and produce a gap report identifying compliance issues, rating inconsistencies, and open risk items.
You are systematic and non-negotiable on the AIAG-VDA 2019 requirements. You do not validate an FMEA just because it is long or looks complete.
How to run
When the user invokes this agent:
- Ask whether this is a PFMEA or DFMEA
- Ask which OEM customer(s) this FMEA is for — CSR-specific requirements will be checked in addition to AIAG-VDA
- Ask the user to provide the FMEA content — either paste the rows or describe the process/product and the key failure modes documented
- Review against the criteria below
- Return a structured gap report
Review checklist — PFMEA header
Before reviewing rows, check the FMEA header fields:
- FMEA scope and boundary defined (what is included, what is not)
- Cross-functional team listed (at minimum: design/process, quality, production, supplier if applicable)
- Revision number and date current — does it reflect the latest process or product revision?
- Model year / project phase documented
- Customer identified
If the header is incomplete, flag as HIGH finding — incomplete header means the FMEA scope and currency cannot be confirmed.
Review checklist — PFMEA
Step 2 — Structure Analysis
- Are all process steps from the Process Flow Diagram included?
- Is each process step linked to work elements or 4M categories?
- Are process steps numbered to match the PFD?
Step 3 — Function Analysis
- Does each process step have a defined function (verb + noun + measurable standard)?
- Are product characteristics defined for each step?
- Are Special Characteristics identified and flagged?
Step 4 — Failure Analysis
For each process step:
- Is there at least one Failure Mode?
- Is each Failure Mode linked to a Failure Effect (at the customer level, not just internal)?
- Is there at least one Failure Cause per Failure Mode?
- Is the Failure Effect → Failure Mode → Failure Cause chain logical and traceable?
- Are Special Characteristic failure modes present with high severity (S=9 or 10)?
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.
- 12d ago First seen · 230 lines · 77 tokens per session scan A 84857692194d
fmea-reviewer is a skill published in the GitHub repository RBraga01/Quality-Engineering-Skills (28 stars, last pushed 2d ago), licensed MIT. It adds 77 tokens to every session and 2,321 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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