action-priority-ap

action-priority-ap is a skill for Claude Code, Codex from RBraga01/Quality-Engineering-Skills. It costs 87 tokens per session (2,292 once invoked), scanned A, original, MIT.

A guide for assigning Action Priority ratings in PFMEA and DFMEA, structured methods for finding and reducing failures in manufacturing or design.

In plain words
What is it for?
Use it to rate or audit failure risks, decide which High Priority items require action, and review ratings for customer or formal PPAP submissions.
Why use it?
It helps replace Risk Priority Number scoring with the AIAG-VDA 2019 High, Medium, and Low priority method, while tying ratings to evidence and required actions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is This skill explains AP logic and decision patterns. Use the full AP determination rules ([ap-table.md](../pfmea-process/assets/ap-table.md)) for final rating as.

Good fit Use it to rate or audit failure risks, decide which High Priority items require action, and review ratings for customer or formal PPAP submissions.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/RBraga01/Quality-Engineering-Skills
agentmods
npx agentmods add skills/rbraga01/quality-engineering-skills/action-priority-ap

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for action-priority-ap

README.md
[![agentmods](https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/action-priority-ap/github.svg)](https://agentmods.dev/skills/rbraga01/quality-engineering-skills/action-priority-ap)
Your own site
<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/action-priority-ap"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/action-priority-ap/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.

agentmods 80×15 button for action-priority-ap

Your own site · 80×15
<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/action-priority-ap"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/action-priority-ap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.02292
Opus 5 $0.00044 $0.01146
Sonnet 5 $0.00017 $0.00458
Haiku 4.5 $0.00009 $0.00229

Measured 9d ago against content hash 19c56bfa5111, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

action-priority-ap 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 9d 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.

skills/risk-analysis/action-priority-ap/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Action Priority (AP) — AIAG-VDA 2019

Goal

Assign and audit Action Priority (AP) ratings correctly using the AIAG-VDA 2019 method, ensuring high-risk items receive justified action or formal risk acceptance. This skill is used when classifying risk levels in PFMEA or DFMEA, reviewing existing ratings, or auditing FMEA documents for AP compliance.


Required AP Review Checklist

☐ Confirm the linked Failure Effect, Failure Mode, and Failure Cause are correct before assigning AP ☐ Confirm S is based on the Failure Effect (severity to the customer or end user) ☐ Confirm O is based on the Failure Cause with current prevention controls in place ☐ Confirm D is based on current detection controls for this Failure Mode ☐ All S, O, and D ratings are supported by data, field history, capability data, or documented engineering judgement — not guesses ☐ Assign AP using the full AP determination rules (see ap-table.md) — not only the summary patterns in this skill ☐ For formal PPAP submissions, customer-facing FMEAs, or any disputed rating, confirm against your licensed AIAG-VDA FMEA Handbook — the rating criteria that make an S, O or D value defensible are in the handbook, not in this skill ☐ For every H-AP item: define a corrective action with owner and target date, or document a formal escalation rationale ☐ Reassess AP only after the corrective action is implemented and verified — not when only planned ☐ Verify Special Characteristics are rated S = 9 or 10 ☐ Document the evaluation decision for every M-AP item (action taken or rationale for no action) ☐ Document rationale for every L-AP item


Why AP replaces RPN

The legacy RPN = Severity × Occurrence × Detection had critical flaws:

Problem 1 — Same RPN, very different risk

  • S=6, O=6, D=6 → RPN = 216
  • S=9, O=8, D=3 → RPN = 216 The second scenario involves a safety-related severity (S=9) and high occurrence — far more dangerous — yet produces the same RPN.

Read the full file on GitHub · 223 lines

Files

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.

Changes

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.

  1. 9d ago First seen · 223 lines · 87 tokens per session scan A 19c56bfa5111

Subscribe to this mod's changes

action-priority-ap is a skill published in the GitHub repository RBraga01/Quality-Engineering-Skills (28 stars, last pushed 4d ago), licensed MIT. It adds 87 tokens to every session and 2,292 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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