Actions
JetBrains/intellij-community
Implement or change IntelliJ AnAction actions and registrations.
Assign AP table ratings (H-AP, M-AP, L-AP) in PFMEA or DFMEA — the RPN replacement from AIAG-VDA FMEA Handbook 2019.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins action-priority-ap --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap .claude/skills/action-priority-ap && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "action-priority-ap" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap into .claude/skills/action-priority-ap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "action-priority-ap", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-apType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins action-priority-ap --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap .agents/skills/action-priority-ap && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "action-priority-ap" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap into .agents/skills/action-priority-ap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "action-priority-ap", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins action-priority-ap --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap .cursor/skills/action-priority-ap && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "action-priority-ap" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap into .cursor/skills/action-priority-ap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "action-priority-ap", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins action-priority-ap --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap .gemini/skills/action-priority-ap && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "action-priority-ap" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap into .gemini/skills/action-priority-ap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "action-priority-ap", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins action-priority-apInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap .github/skills/action-priority-ap && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "action-priority-ap" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap into .github/skills/action-priority-ap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "action-priority-ap", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins action-priority-ap --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap .opencode/skills/action-priority-ap && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "action-priority-ap" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap into .opencode/skills/action-priority-ap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "action-priority-ap", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
action-priority-apAssign AP table ratings (H-AP, M-AP, L-AP) in PFMEA or DFMEA — the RPN replacement from AIAG-VDA FMEA Handbook 2019.
Action Priority Ap is an agent skill from hashgraph-online/awesome-codex-plugins. Assign AP table ratings (H-AP, M-AP, L-AP) in PFMEA or DFMEA — the RPN replacement from AIAG-VDA FMEA Handbook 2019. Explains H/M/L classification logic, mandatory action requirements for High Priority items, and OEM-specific thresholds. Use when assigning risk levels in PFMEA or DFMEA, or auditing FMEA documents for AP compliance.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/oem-requirements.md`).
The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Action Priority Ap loads about 2.2k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 1,089 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 1,089 words, ~2,170 tokens.
.claude/skills/action-priority-ap/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.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.
☐ 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
The legacy RPN = Severity × Occurrence × Detection had critical flaws:
Problem 1 — Same RPN, very different risk
Problem 2 — Easy to game Teams learned to lower RPN cheaply by improving detection (adding an inspection step). D: 8→3 drops RPN by 62.5%. But the defect is still being made — it's just being caught later. Prevention (reducing occurrence) is harder but far more valuable.
Problem 3 — No mandatory threshold RPN had no defined threshold for mandatory action. "High RPN" meant different things to different teams and customers.
The AP fix:
Action required. Assign a responsible person and a target completion date.
If no improvement is achievable (technically or economically), the team must:
H-AP items must never be silently ignored.
Conditions that always produce H:
Action recommended. The team should evaluate whether risk reduction is beneficial.
M-AP does not mean "no action needed." It means action is not mandatory, but the team must document its evaluation decision:
No action required. Document rationale for the record.
This skill explains AP logic and decision patterns. Use the full AP determination rules (ap-table.md) for final rating assignment. Do not rely solely on the summary patterns below for disputed cases or formal PPAP submissions — those require the rating criteria in your licensed AIAG-VDA FMEA Handbook.
Before assigning AP: Do not assign AP unless S, O, and D are already justified based on the linked failure effect, failure cause, and current controls. AP is only as good as the ratings it is built on.
For each FC (Failure Cause) row in the PFMEA/DFMEA:
1. Assign S (for the linked Failure Effect)
2. Is S = 9 or 10?
→ Yes: AP = H. Done.
→ No: continue
3. Assign O (for this Failure Cause with current prevention controls)
4. Assign D (for this Failure Mode with current detection controls)
5. Look up AP in the full table (see ../pfmea-process/assets/ap-table.md)All S, O, and D ratings must be supported by test data, field history, capability data, or documented engineering judgement.
The patterns below are practical summaries for working use. Final AP assignment must always be confirmed against the full AIAG-VDA AP table. For disputed cases or audits, the full table takes precedence.
| O | D | AP |
|---|---|---|
| Any | Any | H |
| O | D | AP |
|---|---|---|
| 6–10 | Any | H |
| 4–5 | 6–10 | H |
| 4–5 | 1–5 | M |
| 1–3 | Any | M |
| O | D | AP |
|---|---|---|
| 6–10 | 7–10 | H |
| 6–10 | 4–6 | M |
| 6–10 | 1–3 | M |
| 4–5 | 7–10 | M |
| 4–5 | 4–6 | M |
| 4–5 | 1–3 | L |
| 1–3 | Any | L |
| O | D | AP |
|---|---|---|
| 8–10 | 7–10 | H |
| 8–10 | 4–6 | M |
| 8–10 | 1–3 | M |
| 5–7 | 7–10 | M |
| 5–7 | 1–6 | L |
| 1–4 | Any | L |
All combinations → L
Do not lower AP based on planned actions. Revised AP may only be assigned after the corrective action is implemented and the implementation is verified with objective evidence. A planned action is not a completed action.
Audit questions:
| OEM | AP requirement |
|---|---|
| Ford | H-AP items require mandatory action or documented engineering justification (EJ) |
| GM | BIQS requires all H-AP items closed before PPAP Level 3 |
| VW/Audi | AP H must be actioned or formally accepted by responsible engineer |
| BMW | AP H items listed on open issues list until closed |
| Stellantis | H-AP items require SQE approval for acceptance without action |
Customer-Specific Requirements (CSR) are revision-controlled and may change. Always verify the latest customer requirement before release, PPAP, or customer submission. See oem-requirements.md for OEM-specific detail.
At the start of each use, ask the user:
"How would you like to receive the output? A — Structured Markdown (formatted tables and sections, ready to copy) B — Plain tables (simplified structure for Excel or Word) C — Narrative report (flowing text for a formal document or email)
Default: A."
Adapt all output sections to the chosen format. If the platform or session context already defines a format preference, skip this question.
| Version | Date | Author | Change |
|---|---|---|---|
| 1.0 | 2026-06-01 | @RBraga01 | Initial release |
| 1.1 | 2026-06-03 | @migmcc | Polished AP classification logic, added OEM CSR requirements table |
© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Action Priority Ap next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Action Priority Ap this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| ActionsJetBrains/intellij-community | 21k | — | ~341 | Automated safety check: Pass | Custom licence | |
| Laravel Actionscoollabsio/coolify | 63k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Table Fitasgeirtj/system_prompts_leaks | 69k | — | ~772 | Automated safety check: Pass | CC0-1.0 | |
| ActionsBuilderIO/agent-native | 7.1k | — | ~4.4k | Automated safety check: Pass | None | |
| Table Headersthedaviddias/Front-End-Checklist | 74k | — | ~460 | Automated safety check: Pass | MIT |
JetBrains/intellij-community
Implement or change IntelliJ AnAction actions and registrations.
coollabsio/coolify
Build, refactor, and troubleshoot Laravel Actions using lorisleiva/laravel-actions.
asgeirtj/system_prompts_leaks
Keep a Markdown table readable in a narrow terminal of about 100 display columns - a wide table or one carrying prose in its cells wraps into unreadable ragged rows.
BuilderIO/agent-native
How to create and run agent actions. An agent skill from BuilderIO/agent-native.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Define proper table headers.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Use semantic table markup for screen readers.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
hashgraph-online/awesome-codex-plugins
Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…
Assign AP table ratings (H-AP, M-AP, L-AP) in PFMEA or DFMEA — the RPN replacement from AIAG-VDA FMEA Handbook 2019. Action Priority Ap is an agent skill from hashgraph-online/awesome-codex-plugins. Assign AP table ratings (H-AP, M-AP, L-AP) in PFMEA or DFMEA — the RPN replacement from AIAG-VDA FMEA Handbook 2019.
Action Priority Ap fits situations like: assigning risk levels in PFMEA; auditing FMEA documents for AP compliance.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a claude-code`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap in hashgraph-online/awesome-codex-plugins) into .claude/skills/action-priority-ap in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a codex`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/risk-analysis/action-priority-ap in hashgraph-online/awesome-codex-plugins) into .agents/skills/action-priority-ap in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill action-priority-ap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/action-priority-ap, .gemini/skills/action-priority-ap, .github/skills/action-priority-ap and .opencode/skills/action-priority-ap in your project.
SKILL.md names no scripts, command-line tools or credentials: Action Priority Ap is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Action Priority Ap is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Action Priority Ap: Actions (JetBrains/intellij-community, 21k stars), Laravel Actions (coollabsio/coolify, 63k stars), Table Fit (asgeirtj/system_prompts_leaks, 69k stars) and Actions (BuilderIO/agent-native, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.