Code Design Rationale Investigator
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
Write a corrective action report, CAPA, respond to an NCR or audit finding, or document an 8D D5 root cause action.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill car-corrective-action -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins car-corrective-action --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/documentation/car-corrective-action .claude/skills/car-corrective-action && 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 "car-corrective-action" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action into .claude/skills/car-corrective-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "car-corrective-action", 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/documentation/car-corrective-actionType 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 car-corrective-action -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins car-corrective-action --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/documentation/car-corrective-action .agents/skills/car-corrective-action && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "car-corrective-action" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action into .agents/skills/car-corrective-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "car-corrective-action", 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 car-corrective-action -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins car-corrective-action --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/documentation/car-corrective-action .cursor/skills/car-corrective-action && 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 "car-corrective-action" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action into .cursor/skills/car-corrective-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "car-corrective-action", 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/documentation/car-corrective-action--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 car-corrective-action -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins car-corrective-action --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/documentation/car-corrective-action .gemini/skills/car-corrective-action && 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 "car-corrective-action" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action into .gemini/skills/car-corrective-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "car-corrective-action", 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 car-corrective-actionInstalls 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 car-corrective-action -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/documentation/car-corrective-action .github/skills/car-corrective-action && 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 "car-corrective-action" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action into .github/skills/car-corrective-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "car-corrective-action", 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 car-corrective-action -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 car-corrective-action --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/documentation/car-corrective-action .opencode/skills/car-corrective-action && 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 "car-corrective-action" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action into .opencode/skills/car-corrective-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "car-corrective-action", 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.
car-corrective-actionWrite a corrective action report, CAPA, respond to an NCR or audit finding, or document an 8D D5 root cause action.
Car Corrective Action is an agent skill from hashgraph-online/awesome-codex-plugins. Write a corrective action report, CAPA, respond to an NCR or audit finding, or document an 8D D5 root cause action. Covers the full CAR structure: root cause analysis, corrective actions, implementation evidence, and verification of effectiveness (VOE) per ISO 9001 §10.2. Use for any quality escape requiring documented systemic corrective action.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/car-template.md`).
It sits in Development, covering Root cause analysis and Audit readiness. 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.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9e7b281. 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.
Car Corrective Action loads about 2.6k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 93 tokens; SKILL.md has 1,287 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 9e7b281, republished under its MIT licence (© hashgraph-online). 1,287 words, ~2,648 tokens.
.claude/skills/car-corrective-action/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.A CAR is written in response to:
The CAR is the documented evidence that the problem was analysed, corrected, and prevented from recurring. ISO 9001 §10.2.1 requires documented information of the actions taken and their results. For IATF 16949 audit Major NCs, CARs must typically be closed within 90 days; check the applicable CSR for customer-specific closure deadlines.
| NCR | CAR |
|---|---|
| What is wrong (objective facts) | Why it is wrong + what is being done about it |
| Detection point and evidence | Root cause analysis + actions |
| Severity and disposition | Verification of effectiveness |
| Written immediately | Written after investigation |
A CAR references the NCR but extends it into corrective action territory.
| Field | Content |
|---|---|
| CAR number | Traceable to NCR or audit finding |
| NCR / finding reference | Links this CAR to the trigger event |
| Date opened | |
| Owner | Responsible person (name, not function) |
| Target closure date | |
| Closure authority | Named person with authority to close this CAR (quality manager or equivalent) |
| Actual closure date | (filled on closure) |
One or two sentences summarising the NCR or finding. Objective, factual. Must match the NCR description exactly — no new interpretation.
Example:
"47 of 200 connector units in lot 2026-05-12-A had pin insertion depth 0.6–1.5 mm below lower specification limit (5.0 ± 0.3 mm). Detected at incoming inspection (NCR-2026-0047)."
Confirm containment is in place. If documented in the NCR, reference it. If not yet done, define it here.
This is the core of the CAR. Use structured methodology:
Recommended tools:
Identify two root causes:
Document the chain, not just the conclusion:
Root cause of occurrence:
Why: Connector pin depth OOS → Why: insertion force insufficient →
Why: pneumatic jig set to wrong pressure → Why: pressure setpoint not in work instruction →
Root cause: Work instruction for Station 3 does not specify jig pressure setpoint.
Root cause of escape:
Why: Not detected at our outgoing inspection → Why: no depth measurement in outgoing
inspection plan → Root cause: Control Plan does not include pin depth at outgoing.Validation: state how the root cause was confirmed. Acceptable validation methods:
A root cause supported only by team opinion (not validated by evidence) cannot be used as the basis for CAR closure.
One corrective action for each root cause. The action must directly address the root cause — not a symptom.
| # | Root cause addressed | Corrective action | Owner | Target date |
|---|---|---|---|---|
| 1 | WI missing jig pressure | Update WI-Station-3 to specify jig pressure 4.5 ± 0.2 bar | [Name] | 2026-06-05 |
| 2 | CP no depth check at outgoing | Add pin depth measurement to Control Plan at outgoing, 10% sample, n=5 per batch | [Name] | 2026-06-05 |
Action quality check:
For each corrective action, document that it was actually implemented:
| Action | Evidence of implementation | Date verified |
|---|---|---|
| WI updated | WI-Station-3 rev C, approved 2026-06-04, attached | 2026-06-04 |
| Training conducted | Training attendance record attached (4 operators) | 2026-06-04 |
| Control Plan updated | CP rev F, approved 2026-06-04, attached | 2026-06-04 |
Documents must be revised with a new revision number and approval date. Verbal implementation is not evidence.
This is where most CARs fail. The action is implemented, but nobody checks whether it actually prevents the defect.
VOE requirements (ISO 9001 §10.2.1.e):
VOE minimum volume guidance:
VOE result:
If the non-conformance relates to a PFMEA failure mode with an Action Priority (AP) rating:
Ask: could this same root cause exist in similar parts, processes, or product families?
If yes:
One or two sentences capturing the key learning for future reference:
"Work instruction templates for assembly stations must include all process parameter setpoints. Control Plans must cover outgoing inspection of all safety-relevant characteristics."
File in the lessons learned register and reference in PFMEA update.
A CAR may only be closed when ALL of the following are true, and the closure authority (named in the header) has signed off:
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 | 2026-06-04 | @migmcc | Expanded CAR linkage to D5-D6, added effectiveness verification requirements |
© 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/documentation/car-corrective-action of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 9e7b281
Car Corrective Action 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 |
|---|---|---|---|---|---|---|
| Car Corrective Action this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| OpenLogi macOS Permissions TriageAprilNEA/OpenLogi | 23k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Bug Finder for daisyUIsaadeghi/daisyui | 43k | — | ~2.3k | Automated safety check: Pass | MIT | |
| A2ui Remediate Problema2ui-project/a2ui | 17k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Root Cause Debugginggarrytan/gstack | 136k | — | ~1.4k | Automated safety check: Pass | MIT |
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
AprilNEA/OpenLogi
Decides whether an OpenLogi device problem on macOS is a privacy-permission (TCC) problem, using agent log lines, and says which identity needs which grant.
saadeghi/daisyui
Investigates suspected bugs in the daisyUI monorepo through read-only analysis, then writes a decision-ready fix plan in tmp/bugs without changing any product code.
a2ui-project/a2ui
Remediates a specific recommendation from an A2UI compliance report issue, or resolves any general GitHub issue, by inspecting context, implementing minimal targeted fixes, verifying tests, creating…
garrytan/gstack
Investigates bugs, errors and stack traces in phases and requires a root-cause hypothesis to be confirmed before any fix is written.
apache/shardingsphere
Review Apache ShardingSphere or user-authorized downstream pull requests and PR discussions from public or authorized repository evidence.
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Categories
Write a corrective action report, CAPA, respond to an NCR or audit finding, or document an 8D D5 root cause action. Car Corrective Action is an agent skill from hashgraph-online/awesome-codex-plugins. Write a corrective action report, CAPA, respond to an NCR or audit finding, or document an 8D D5 root cause action.
Car Corrective Action fits situations like: any quality escape requiring documented systemic corrective action; tasks that involve Root cause analysis; tasks that involve Audit readiness.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill car-corrective-action -a claude-code`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action in hashgraph-online/awesome-codex-plugins) into .claude/skills/car-corrective-action in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill car-corrective-action -a codex`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/documentation/car-corrective-action in hashgraph-online/awesome-codex-plugins) into .agents/skills/car-corrective-action 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 car-corrective-action -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/car-corrective-action, .gemini/skills/car-corrective-action, .github/skills/car-corrective-action and .opencode/skills/car-corrective-action in your project.
SKILL.md names no scripts, command-line tools or credentials: Car Corrective Action 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.
Car Corrective Action is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 11k 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 7.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Car Corrective Action: Code Design Rationale Investigator (cursor/plugins, 10k stars), OpenLogi macOS Permissions Triage (AprilNEA/OpenLogi, 23k stars), Bug Finder for daisyUI (saadeghi/daisyui, 43k stars) and A2ui Remediate Problem (a2ui-project/a2ui, 17k 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 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 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.