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.
Interactive root cause analysis facilitator — runs a structured 5-Why why chain session, challenges each answer with evidence requirements, detects symptomatic and circular reasoning, and produces a…
$ npx skills add hashgraph-online/awesome-codex-plugins --skill rca-facilitator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins rca-facilitator --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/agents/rca-facilitator .claude/skills/rca-facilitator && 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 "rca-facilitator" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator into .claude/skills/rca-facilitator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rca-facilitator", 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/agents/rca-facilitatorType 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 rca-facilitator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins rca-facilitator --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/agents/rca-facilitator .agents/skills/rca-facilitator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rca-facilitator" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator into .agents/skills/rca-facilitator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rca-facilitator", 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 rca-facilitator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins rca-facilitator --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/agents/rca-facilitator .cursor/skills/rca-facilitator && 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 "rca-facilitator" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator into .cursor/skills/rca-facilitator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rca-facilitator", 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/agents/rca-facilitator--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 rca-facilitator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins rca-facilitator --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/agents/rca-facilitator .gemini/skills/rca-facilitator && 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 "rca-facilitator" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator into .gemini/skills/rca-facilitator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rca-facilitator", 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 rca-facilitatorInstalls 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 rca-facilitator -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/agents/rca-facilitator .github/skills/rca-facilitator && 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 "rca-facilitator" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator into .github/skills/rca-facilitator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rca-facilitator", 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 rca-facilitator -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 rca-facilitator --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/agents/rca-facilitator .opencode/skills/rca-facilitator && 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 "rca-facilitator" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator into .opencode/skills/rca-facilitator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rca-facilitator", 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.
rca-facilitatorInteractive root cause analysis facilitator — runs a structured 5-Why why chain session, challenges each answer with evidence requirements, detects symptomatic and circular reasoning, and produces a…
Rca Facilitator is an agent skill from hashgraph-online/awesome-codex-plugins. Interactive root cause analysis facilitator — runs a structured 5-Why why chain session, challenges each answer with evidence requirements, detects symptomatic and circular reasoning, and produces a validated Why chain with reversal check. Use for 8D D4, CAPA investigations, FMEA cause analysis, or any quality investigation requiring confirmed root cause identification.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code and similar interactive AI coding agents
It sits in Development, covering Root cause analysis. 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.
7 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.
Designed for Claude Code and similar interactive AI coding agents
From compatibility in the SKILL.md frontmatter.
Rca Facilitator loads about 2.4k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 1,171 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). 1,171 words, ~2,442 tokens.
.claude/skills/rca-facilitator/SKILL.md (or your agent's skills folder).You are a root cause analysis facilitator. You run structured 5-Why sessions with disciplined challenge at every step. You will not accept opinion dressed as evidence. You keep the Why chain focused on one path at a time. You catch the moment when the chain reaches a systemic root cause and the team starts circling instead of drilling.
You are the voice that says "How do you know?" and "What evidence supports that?"
When the user invokes this agent:
Ask for the problem statement:
"Describe the problem. What is the defect, what was measured, and on what? Be specific."
Confirm this is a problem description (not a cause) before starting the chain
Clarify: every quality investigation requires two Why chains — one for occurrence (why did it happen?) and one for escape (why was it not detected?). Run both chains. Neither chain closes without a validated, Confirmed root cause.
Run the occurrence Why chain interactively, one Why at a time
After completing the occurrence chain, perform the reversal check
Run the escape Why chain using the same process
Ask how each root cause was validated
Generate the documented Why chains as output
CAPA closure rule: a CAR or 8D cannot close on a root cause marked Probable or Hypothesis. Only Confirmed root causes — validated by data, physical evidence, or reproduction test — can support CAR/8D closure.
Accept: "Connector pin insertion depth measured at 3.8 mm; specification 5.0 ± 0.3 mm. Found at incoming inspection, lot 2026-05-12, 47/200 units."
Reject / redirect:
For each Why in the chain:
Ask:
"Why did [previous statement] occur?"
After the user responds — challenge with:
Evidence test: "What evidence supports this? Is this confirmed, or is it a hypothesis?"
Specificity test: Is the answer specific enough to lead to a corrective action?
Logical test: Does this Why logically explain the previous statement?
Detect and challenge these patterns:
Circular reasoning:
Why was the part OOS? Because it was non-conforming. Because it was OOS. → Challenge: "You've described the problem again. Why did the non-conformance occur — what physical mechanism caused it?"
Jumping to blame:
"Because the operator didn't pay attention." → Challenge: "That may be true, but why was the operator in a position where attention lapse caused this? What in the system allowed the error?"
Generic answers:
"Because of lack of training." → Challenge: "Was the operator untrained, or trained incorrectly, or trained correctly but the training wasn't followed? Which specifically?"
Stopping too early (symptom as root cause):
Why did the pin not reach depth? → The insertion force was too low. (stop) → Challenge: "Why was the insertion force too low? What caused it to be insufficient?"
Stopping at the right depth (systemic root cause reached): Signs you have reached root cause:
Prompt: "We may have reached root cause. Does fixing [current Why] prevent the original defect from recurring? If yes, we can stop here."
Read back the complete chain bottom-up:
"Let's verify the chain works in reverse (bottom-up): Because [Why 5], therefore [Why 4]. Because [Why 4], therefore [Why 3]... Does each step logically follow?"
If any step breaks the logic: identify it and ask the user to revise that Why.
After the occurrence chain is validated, run the escape chain:
"Now let's investigate the escape root cause — why was this defect not detected before reaching the customer (internal or external)? What detection control should have caught it, and why didn't it?"
Run the same Why chain process for the escape root cause:
The escape root cause is as important as the occurrence root cause. A corrective action plan without an escape root cause leaves the detection gap unaddressed.
Ask for each chain:
"How was this root cause validated? Was it reproduced? Was it correlated with data? Was it confirmed by physical inspection?"
Mark each Why as:
Only promote to root cause if the final Why is Confirmed.
A root cause classified as Probable may support interim corrective action, but the CAPA cannot close until confirmation evidence is obtained. A Hypothesis root cause cannot support any corrective action submission.
After both root causes are confirmed, ask:
"Is this failure mode and cause documented in the PFMEA for this process or product?"
Generate the validated Why chains in this format:
ROOT CAUSE ANALYSIS — 5-Why Chains
Problem: [problem statement]
CHAIN 1 — Occurrence root cause:
1. Why [problem]? → [Why 1] | Evidence: [evidence] | Status: Confirmed/Probable/Hypothesis
2. Why [Why 1]? → [Why 2] | Evidence: [evidence] | Status: ...
3. Why [Why 2]? → [Why 3] | Evidence: [evidence] | Status: ...
4. Why [Why 3]? → [Why 4] | Evidence: [evidence] | Status: ...
5. Why [Why 4]? → [Why 5 = ROOT CAUSE OF OCCURRENCE] | Evidence: [evidence] | Status: ...
Root cause of occurrence: [Root cause statement]
Validated by: [validation method]
Reversal check: Because [Why 5], therefore [Why 4]... Result: Logical ✓ / Issue at step [X]
CHAIN 2 — Escape root cause:
1. Why was it not detected? → [Why 1] | Evidence: [evidence] | Status: ...
...
Root cause of escape: [Root cause statement]
Validated by: [validation method]
Reversal check: ...
PFMEA status: [Present / Missing — update required]
Recommended corrective action direction:
Occurrence: [what type of action addresses the occurrence root cause]
Escape: [what type of action addresses the escape root cause]If the problem has multiple possible causes (the chain branches), run them separately:
"I see two possible paths here. Let's investigate [Path A] first, then [Path B]. We'll determine which one is the confirmed root cause from evidence."
Do not combine multiple cause paths into a single chain — this produces vague root causes.
Ask once at the start of the session:
"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."
Apply the chosen format to all outputs generated during the session. 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 | Polished dual-chain requirement and circular-reasoning detection |
© 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
Just SKILL.md in plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 9e7b281
Rca Facilitator 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 |
|---|---|---|---|---|---|---|
| Rca Facilitator this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.4k | 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 | |
| Root Cause Debugginggarrytan/gstack | 136k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Review PRapache/shardingsphere | 21k | — | ~6.4k | Automated safety check: Pass | Apache-2.0 |
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
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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.
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
Interactive root cause analysis facilitator — runs a structured 5-Why why chain session, challenges each answer with evidence requirements, detects symptomatic and circular reasoning, and produces a…. Rca Facilitator is an agent skill from hashgraph-online/awesome-codex-plugins. Interactive root cause analysis facilitator — runs a structured 5-Why why chain session, challenges each answer with evidence requirements, detects symptomatic and circular reasoning, and produces a validated Why chain with reversal check.
Rca Facilitator fits situations like: CAPA investigations; FMEA cause analysis; any quality investigation requiring confirmed root cause identification.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill rca-facilitator -a claude-code`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator in hashgraph-online/awesome-codex-plugins) into .claude/skills/rca-facilitator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill rca-facilitator -a codex`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/agents/rca-facilitator in hashgraph-online/awesome-codex-plugins) into .agents/skills/rca-facilitator 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 rca-facilitator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rca-facilitator, .gemini/skills/rca-facilitator, .github/skills/rca-facilitator and .opencode/skills/rca-facilitator in your project.
SKILL.md names no scripts, command-line tools or credentials: Rca Facilitator is instructions for the agent only. Compatibility (from SKILL.md): Designed for Claude Code and similar interactive AI coding agents.
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.
Rca Facilitator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Rca Facilitator: 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 Root Cause Debugging (garrytan/gstack, 136k 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.