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.
git clone --depth 1 https://github.com/RBraga01/Quality-Engineering-Skillsnpx agentmods add skills/rbraga01/quality-engineering-skills/action-priority-apWrote 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/action-priority-ap)<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.
<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>- 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 | $0.00087 | $0.02292 |
| Opus 5 | $0.00044 | $0.01146 |
| Sonnet 5 | $0.00017 | $0.00458 |
| Haiku 4.5 | $0.00009 | $0.00229 |
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.
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.
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.
- 9d ago First seen · 223 lines · 87 tokens per session scan A 19c56bfa5111
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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