Agent skill

Gentle AI Rdd Defect Workflow

by Gentleman-Programming in Gentleman-Programming/gentle-shell

Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects.

Apache-2.0Auto-check passedTesting & QA

Install Gentle AI Rdd Defect Workflow

skills CLI
$ npx skills add Gentleman-Programming/gentle-shell --skill gentle-ai-rdd-defect-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Gentleman-Programming/gentle-shell gentle-ai-rdd-defect-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Gentleman-Programming/gentle-shell.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rdd-defect-workflow .claude/skills/gentle-ai-rdd-defect-workflow && rm -rf skills-src

Use ~/.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/

Facts

Skill name
gentle-ai-rdd-defect-workflow
GitHub stars
1.2k
Token cost
~955 tokens
SKILL.md length
453 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects.

  • Works in 5 steps: Check mode, approval, PR conflicts, and… → Name invariant and rollback; isolate the… → Inventory flows and controls; add… → …
  • Testing & QA work in your project
  • SKILL.md covers Activation Contract, Hard Rules, Decision Gates and Execution Steps, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Gentle AI Rdd Defect Workflow is an agent skill from Gentleman-Programming/gentle-shell. Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA. The repository describes itself as: Gentle Shell is a Pi-native coding-agent harness for controlled development with Organic Driven Development, optional SDD/OpenSpec, subagents, TDD evidence, review guardrails… The licence is Apache-2.0.

When your agent uses it

  • Testing & QA work in your project

Example prompts

  • “/gentle-ai-rdd-defect-workflow”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check mode, approval, PR conflicts, and current-main reproduction.
  2. Name invariant and rollback; isolate the worktree; CodeGraph-map code, tests, evidence, docs, distribution, and registration.
  3. Inventory flows and controls; add failing tests and the smallest correction.
  4. Normalize, enforce budget, run tests, and record each flow's exact candidate, command, scenario, and result.
  5. Freeze, validate read-only, and give the verdict, evidence, and one humane next action.

What it can do on your machine

Read from SKILL.md and the folder at commit 42653f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Gentle AI Rdd Defect Workflow loads about 955 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 453 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~955

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from Gentleman-Programming/gentle-shell at commit 42653f7, republished under its Apache-2.0 licence (© Gentleman-Programming). 453 words, ~955 tokens.

Download SKILL.mdSave it as .claude/skills/gentle-ai-rdd-defect-workflow/SKILL.md (or your agent's skills folder).
name
gentle-ai-rdd-defect-workflow
description
Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.
license
Apache-2.0
metadata.author
gentleman-programming
metadata.version
1.0

Activation Contract

Load when the frontmatter trigger terms apply to a defect workflow.

This skill guides public collaboration. It does not grant issue approval, label, review, exception, or merge authority.

Hard Rules

  • Review and Judgment Day evidence is review-only. Pi never mints delivery authority: ordinary commit, push, PR, and release always follow repository policy, regardless of RDD mode.
  • Require an approved issue (status:approved) and clean current main reproduction before implementation. Audit existing PRs for supersession or conflict; stop or narrow stale claims.
  • Group by causal authority invariant. Use one issue and one PR or explicit chain per independent invariant and rollback boundary. Split independent causes; never merge a superseded or conflicting authority line.
  • Inventory every operator flow claimed by the issue or PR, including entry, mode, environment, expectation, and negative controls. Require one truthful black-box bench journey per CLI or lifecycle flow, or actual runtime E2E proof when the core bench cannot represent it. Synthetic proxy coverage never proves another runtime.
  • Use CodeGraph-first impact mapping, a dedicated worktree, and behavior-first tests. Run source-mutating normalization before candidate freeze.
  • Forecast authored changes before edits. The hard limit is 400 additions plus deletions; above it, STOP for a chain or explicit maintainer-approved exception.
  • When RDD is enabled, bind review receipts, lineage, correction, and recovery evidence to the exact candidate. Keep bounded review defects in one correction transaction; never treat that evidence as delivery authority.
  • Require independent read-only candidate validation before publication. Validation cannot edit source or authority; findings require a new candidate.
  • Keep communication humane and evidence-based. Repository labels and workflow metadata are maintainer-owned, never evidence of contributor blame.
Show full SKILL.md (187 more words)Show less

Decision Gates

ConditionAction
Any RDD modeReview evidence remains review-only; ordinary commit, push, PR, and release follow repository policy with no Pi delivery authority.
Issue gate or reproduction failsWait, stop, or narrow with evidence.
Invariant or rollback is independentSeparate issue and authoritative PR line.
Core bench fits / does not fitBench journey / actual runtime E2E; never proxy.
Forecast exceeds 400 linesChain or approved exception before edits.

Execution Steps

  1. Check mode, approval, PR conflicts, and current-main reproduction.
  2. Name invariant and rollback; isolate the worktree; CodeGraph-map code, tests, evidence, docs, distribution, and registration.
  3. Inventory flows and controls; add failing tests and the smallest correction.
  4. Normalize, enforce budget, run tests, and record each flow's exact candidate, command, scenario, and result.
  5. Freeze, validate read-only, and give the verdict, evidence, and one humane next action.

Output Contract

Return rdd_mode, issue_pr, causal_invariant, operator_flows, journey_runtime_evidence, changed_line_budget, tests, rollback, and unresolved_authority_decisions.

Identify approved and superseded/conflicting authority lines; every flow, negative control, and candidate-bound proof; additions plus deletions and chain/exception; test results; independent rollback; and unresolved maintainer decisions.

References

No supporting files. Current repository policy remains authoritative.

© Gentleman-Programming, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/rdd-defect-workflow of Gentleman-Programming/gentle-shell.

Open the folder on GitHubat commit 42653f7

Compare with similar skills

Gentle AI Rdd Defect Workflow 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.

Gentle AI Rdd Defect Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gentle AI Rdd Defect Workflow this skillGentleman-Programming/gentle-shell1.2k—~955Automated safety check: PassApache-2.0
Pester Failure AnalysisPowerShell/PowerShell56k—~5.1kAutomated safety check: PassMIT
Rust TDD Workflowrtk-ai/rtk83k—~753Automated safety check: NotesApache-2.0
Clawteam DevHKUDS/ClawTeam5.5k1 repos~1.1kAutomated safety check: PassMIT
Browser Testing with Chrome DevToolsaddyosmani/agent-skills103k4 repos~3.5kAutomated safety check: WarnMIT
Apple Container Test RunnerRustPython/RustPython22k—~467Automated safety check: PassMIT

Similar skills

  • Pester Failure Analysis

    PowerShell/PowerShell

    Investigates failing Pester tests in PowerShell CI jobs by following a six-step workflow from pull request status to documented fix recommendations.

    56k GitHub stars~5.1k tokensUpdated today
    Testing & QAAuto-check passed
  • Enforces red-green-refactor for Rust work, with idiomatic test patterns, a naming convention and a pre-commit gate of cargo fmt, clippy and test.

    83k GitHub stars~753 tokensUpdated today
    Testing & QAAuto-check: notes
  • Clawteam Dev

    HKUDS/ClawTeam

    A skill your agent uses when working inside the ClawTeam repository itself: local development, debugging, reviewing, testing, validating multi-agent flows, or checking whether a code change actually…

    5.5k GitHub starsUsed in 1 repo~1.1k tokens
    Testing & QAAuto-check passed
  • Connects an agent to a real Chrome instance through the Chrome DevTools MCP server, so it can inspect the DOM, read console errors and profile performance directly.

    103k GitHub starsUsed in 4 repos~3.5k tokens
    Testing & QAAuto-check: warnings
  • Apple Container Test Runner

    RustPython/RustPython

    Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.

    22k GitHub stars~467 tokensUpdated today
    Testing & QAAuto-check passed
  • Codex Plugin QA

    code-yeongyu/oh-my-openagent

    Tests the omo Codex plugin in an isolated CODEX_HOME with a local mock model, proving hooks fired through app-server notifications without touching ~/.codex.

    70k GitHub stars~1.9k tokensUpdated today
    Testing & QAAuto-check passed

More from Gentleman-Programming/gentle-shell

All 12 skills in this repo
  • Gentle AI Issue Creation

    Gentleman-Programming/gentle-shell

    Create and triage GitHub issues from repository evidence. An agent skill from Gentleman-Programming/gentle-shell.

    1.2k GitHub stars~2.5k tokensUpdated today
    Auto-check passed
  • Gentle AI Judgment Day

    Gentleman-Programming/gentle-shell

    Trigger: judgment day, judgement day, dual review, adversarial review, juzgar.

    1.2k GitHub stars~1.4k tokensUpdated today
    Auto-check passed
  • Gentle AI Branch and PR

    Gentleman-Programming/gentle-shell

    Prepares branches and pull requests for the Gentle AI repository, checking for a linked approved issue, labels, size budget and required checks.

    1.2k GitHub stars~2.2k tokensUpdated today
    Auto-check passed
  • Gentle AI Cognitive Doc Design

    Gentleman-Programming/gentle-shell

    Design docs that reduce cognitive load. An agent skill from Gentleman-Programming/gentle-shell.

    1.2k GitHub stars~597 tokensUpdated today
    Auto-check passed
  • Gentle AI Comment Writer

    Gentleman-Programming/gentle-shell

    Write warm, direct collaboration comments. An agent skill from Gentleman-Programming/gentle-shell.

    1.2k GitHub stars~623 tokensUpdated today
    Auto-check passed
  • Gentle AI Skill Creator

    Gentleman-Programming/gentle-shell

    Trigger: /skill-creation, skill creation, skill creator, create skill, new skill.

    1.2k GitHub stars~798 tokensUpdated today
    Auto-check passed

Questions about Gentle AI Rdd Defect Workflow

What does Gentle AI Rdd Defect Workflow do?

Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Gentle AI Rdd Defect Workflow is an agent skill from Gentleman-Programming/gentle-shell. Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects.

When should I use Gentle AI Rdd Defect Workflow?

Gentle AI Rdd Defect Workflow fits situations like: testing & QA work in your project.

How do I install Gentle AI Rdd Defect Workflow in Claude Code?

Run `npx skills add Gentleman-Programming/gentle-shell --skill gentle-ai-rdd-defect-workflow -a claude-code`. Or copy the skill folder (skills/rdd-defect-workflow in Gentleman-Programming/gentle-shell) into .claude/skills/gentle-ai-rdd-defect-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Gentle AI Rdd Defect Workflow in Codex?

Run `npx skills add Gentleman-Programming/gentle-shell --skill gentle-ai-rdd-defect-workflow -a codex`. Or copy the skill folder (skills/rdd-defect-workflow in Gentleman-Programming/gentle-shell) into .agents/skills/gentle-ai-rdd-defect-workflow in your project. Codex loads it when a task matches its description.

Can I use Gentle AI Rdd Defect Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Gentleman-Programming/gentle-shell --skill gentle-ai-rdd-defect-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gentle-ai-rdd-defect-workflow, .gemini/skills/gentle-ai-rdd-defect-workflow, .github/skills/gentle-ai-rdd-defect-workflow and .opencode/skills/gentle-ai-rdd-defect-workflow in your project.

What does Gentle AI Rdd Defect Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Gentle AI Rdd Defect Workflow is instructions for the agent only.

Does Gentle AI Rdd Defect Workflow access the network?

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.

Is Gentle AI Rdd Defect Workflow safe to install?

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.

What licence does Gentle AI Rdd Defect Workflow use?

Gentle AI Rdd Defect Workflow is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gentle AI Rdd Defect Workflow use?

About 955 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Gentle AI Rdd Defect Workflow?

Skills that share tags, products or a category with Gentle AI Rdd Defect Workflow: Pester Failure Analysis (PowerShell/PowerShell, 56k stars), Rust TDD Workflow (rtk-ai/rtk, 83k stars), Clawteam Dev (HKUDS/ClawTeam, 5.5k stars) and Browser Testing with Chrome DevTools (addyosmani/agent-skills, 103k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gentle AI Rdd Defect Workflow?

Gentleman-Programming (a GitHub organization) maintains it in Gentleman-Programming/gentle-shell, which has 1,245 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 9, 2026.

Source: Gentleman-Programming/gentle-shell on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.