Gentle AI Judgment Day
Gentleman-Programming/gentle-shell
Trigger: judgment day, judgement day, dual review, adversarial review, juzgar.
Trigger: judgment day, dual review, adversarial review, juzgar.
Apache-2.0Auto-check passed
Install Judgment Day
$ npx skills add Gentleman-Programming/gentle-ai --skill judgment-day -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Gentleman-Programming/gentle-ai judgment-day --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/Gentleman-Programming/gentle-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/assets/skills/judgment-day .claude/skills/judgment-day && 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 "judgment-day" agent skill from https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/judgment-day into .claude/skills/judgment-day/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "judgment-day", 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/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/judgment-dayType 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 Gentleman-Programming/gentle-ai --skill judgment-day -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Gentleman-Programming/gentle-ai judgment-day --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/internal/assets/skills/judgment-day .agents/skills/judgment-day && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "judgment-day" agent skill from https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/judgment-day into .agents/skills/judgment-day/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "judgment-day", 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 Gentleman-Programming/gentle-ai --skill judgment-day -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Gentleman-Programming/gentle-ai judgment-day --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/internal/assets/skills/judgment-day .cursor/skills/judgment-day && 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 "judgment-day" agent skill from https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/judgment-day into .cursor/skills/judgment-day/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "judgment-day", 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/Gentleman-Programming/gentle-ai.git --path internal/assets/skills/judgment-day--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 Gentleman-Programming/gentle-ai --skill judgment-day -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Gentleman-Programming/gentle-ai judgment-day --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/internal/assets/skills/judgment-day .gemini/skills/judgment-day && 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 "judgment-day" agent skill from https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/judgment-day into .gemini/skills/judgment-day/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "judgment-day", 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 Gentleman-Programming/gentle-ai judgment-dayInstalls 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 Gentleman-Programming/gentle-ai --skill judgment-day -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/internal/assets/skills/judgment-day .github/skills/judgment-day && 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 "judgment-day" agent skill from https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/judgment-day into .github/skills/judgment-day/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "judgment-day", 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 Gentleman-Programming/gentle-ai --skill judgment-day -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Gentleman-Programming/gentle-ai judgment-day --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/internal/assets/skills/judgment-day .opencode/skills/judgment-day && 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 "judgment-day" agent skill from https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/judgment-day into .opencode/skills/judgment-day/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "judgment-day", 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.
Facts
- Skill name
judgment-day- GitHub stars
- 7.6k
- Token cost
- ~927 tokens
- SKILL.md length
- 455 words
- Files
- 2 (incl. references)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Trigger: judgment day, dual review, adversarial review, juzgar.
- Works in 6 steps: Build the complete immutable target and… → Launch both read-only judges in parallel… → Merge findings into the frozen ledger… → …
- 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
Judgment Day is an agent skill from Gentleman-Programming/gentle-ai. Trigger: judgment day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/prompts-and-formats.md`).
The repository describes itself as: Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent memory, Organic-Driven Development, curated… The licence is Apache-2.0.
Example prompts
- “/judgment-day”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Build the complete immutable target and freeze the scope both judges will inspect.
- Launch both read-only judges in parallel (jd-judge-a, jd-judge-b) against the same immutable target.
- Merge findings into the frozen ledger and persist it through the selected artifact store.
- Ask before round-one correction; run the fix actor (jd-fix-agent) only for confirmed severe IDs.
- Run both judges again (jd-judge-a, jd-judge-b) only over the frozen ledger plus immutable fix delta.
- Repeat once at most, then run independent final verification and return the terminal verdict.
What it can do on your machine
Read from SKILL.md and the folder at commit 81d2225. 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
Judgment Day loads about 927 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 455 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.
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-ai at commit 81d2225, republished under its Apache-2.0 licence (© Gentleman-Programming). 455 words, ~927 tokens.
Download SKILL.mdSave it as
.claude/skills/judgment-day/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- judgment-day
- description
- Trigger: judgment day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.
- license
- Apache-2.0
- metadata.author
- gentleman-programming
- metadata.version
- 1.7
Activation Contract
Load only when the user explicitly requests Judgment Day or equivalent dual/adversarial review for a concrete target. Judgment Day is a standalone developer tool: judges run whenever asked, on any runtime, and need no review transaction, runtime identity, or delivery-receipt machinery to start. It replaces ordinary 4R as the adversarial method for that target; never run both.
Hard Rules
- Resolve matching project skills before starting and pass the same paths to both judges (
jd-judge-a,jd-judge-b) and the fix actor (jd-fix-agent). - Build one complete immutable target, then launch two blind read-only judges in parallel with identical scope and criteria.
- Each judge returns one neutral findings result and terminates. Wait for both; never accept a partial judgment.
- Never launch
review-refuter; two-judge agreement is the corroboration mechanism. - Only the parent orchestrator merges/persists findings, launches the fix actor (
jd-fix-agent), and launches scoped re-judgment. - Fix only severe findings confirmed by both judges. WARNING/SUGGESTION rows remain
info. - Permit at most two fix rounds and two scoped re-judgments. Re-judgment sees only the frozen ledger plus fix delta and may record fix-caused defects.
- The only terminal verdicts are
APPROVED | ESCALATED; never reset or extend an exhausted round budget. - A judgment issues no receipt and carries no delivery authority: it satisfies no commit, push, PR, or release gate. When the caller explicitly wants ordinary negotiated review for the same target, run it as its own step; neither outcome authorizes delivery, which remains under ordinary repository policy.
Decision Gates
| Condition | Action |
|---|---|
| Target unclear | Ask one scope question and stop. |
| Both judges confirm severe finding | Ask before round-one correction; then use the bounded fix actor. |
| One judge reports it | Record suspect; do not auto-fix. |
| Judges contradict | Escalate for explicit human decision. |
| Scoped re-judgment fails before round two | Parent may launch the final bounded fix round. |
| Any issue remains after round two | Escalate and stop. |
Show full SKILL.md (150 more words)Show less
Execution Steps
- Build the complete immutable target and freeze the scope both judges will inspect.
- Launch both read-only judges in parallel (
jd-judge-a,jd-judge-b) against the same immutable target. - Merge findings into the frozen ledger and persist it through the selected artifact store.
- Ask before round-one correction; run the fix actor (
jd-fix-agent) only for confirmed severe IDs. - Run both judges again (
jd-judge-a,jd-judge-b) only over the frozen ledger plus immutable fix delta. - Repeat once at most, then run independent final verification and return the terminal verdict.
Output Contract
Return target identity, round, confirmed/suspect/contradiction/INFO counts, correction work units, scoped re-judgment result, artifact references, skill resolution, and exactly one final JUDGMENT: APPROVED ✅ or JUDGMENT: ESCALATED ⚠️.
References
- references/prompts-and-formats.md — compact judge/fix prompts and verdict shape.
- ../_shared/review-ledger-contract.md — optional ordinary negotiated-review context: consult it only when the caller explicitly requests that lifecycle; never required to run judges and never delivery authorization.
© 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
SKILL.md and 1 other file (references) in internal/assets/skills/judgment-day of Gentleman-Programming/gentle-ai.
- SKILL.md
- references/prompts-and-formats.md
Open the folder on GitHubat commit 81d2225
Compare with similar skills
Judgment Day 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 |
|---|---|---|---|---|---|---|
| Judgment Day this skillGentleman-Programming/gentle-ai | 7.6k | — | ~927 | Automated safety check: Pass | Apache-2.0 | |
| Gentle AI Judgment DayGentleman-Programming/gentle-shell | 1.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Day Booksickn33/agentic-awesome-skills | 47k | 1 repos | ~7k | Automated safety check: Pass | MIT | |
| Judgment Trainingkangarooking/cangjie-skill | 11k | — | ~686 | Automated safety check: Pass | MIT | |
| Adversarial Reviewmengxi-ream/read-frog | 10k | 1 repos | ~905 | Automated safety check: Pass | GPL-3.0 | |
| Day-One Patch PlannerDonchitos/Claude-Code-Game-Studios | 26k | — | ~2.8k | Automated safety check: Notes | MIT |
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Judgment Training
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Chinese-language method for sharpening judgment on direction-setting decisions, drawn from Naval Ravikant's ideas: rebuild reasoning from basics and apply mental models.
Adversarial Review
mengxi-ream/read-frog
Adversarial code review using cross-model approach. An agent skill from mengxi-ream/read-frog.
Day-One Patch Planner
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Scopes and gates a game's day-one patch after the gold master: fix-only changes, a lightweight QA pass and a rollback plan written before anything ships.
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Questions about Judgment Day
What does Judgment Day do?
Trigger: judgment day, dual review, adversarial review, juzgar. Judgment Day is an agent skill from Gentleman-Programming/gentle-ai. Trigger: judgment day, dual review, adversarial review, juzgar.
How do I install Judgment Day in Claude Code?
Run `npx skills add Gentleman-Programming/gentle-ai --skill judgment-day -a claude-code`. Or copy the skill folder (internal/assets/skills/judgment-day in Gentleman-Programming/gentle-ai) into .claude/skills/judgment-day in your project. Claude Code loads it when a task matches its description.
How do I install Judgment Day in Codex?
Run `npx skills add Gentleman-Programming/gentle-ai --skill judgment-day -a codex`. Or copy the skill folder (internal/assets/skills/judgment-day in Gentleman-Programming/gentle-ai) into .agents/skills/judgment-day in your project. Codex loads it when a task matches its description.
Can I use Judgment Day 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-ai --skill judgment-day -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/judgment-day, .gemini/skills/judgment-day, .github/skills/judgment-day and .opencode/skills/judgment-day in your project.
What does Judgment Day need to run?
SKILL.md names no scripts, command-line tools or credentials: Judgment Day is instructions for the agent only.
Does Judgment Day 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 Judgment Day 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 Judgment Day use?
Judgment Day 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 Judgment Day use?
About 927 tokens (SKILL.md is roughly 3.7k 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 757 tokens, read only when the agent opens those files.
What are the alternatives to Judgment Day?
Skills that share tags, products or a category with Judgment Day: Gentle AI Judgment Day (Gentleman-Programming/gentle-shell, 1.2k stars), Day Book (sickn33/agentic-awesome-skills, 47k stars), Judgment Training (kangarooking/cangjie-skill, 11k stars) and Adversarial Review (mengxi-ream/read-frog, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Judgment Day?
Gentleman-Programming (a GitHub organization) maintains it in Gentleman-Programming/gentle-ai, which has 7,583 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.
Source: Gentleman-Programming/gentle-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.