judgment-day

judgment-day is a skill for Claude Code, Codex from Gentleman-Programming/gentle-ai. It costs 36 tokens per session (813 once invoked), scanned A, original, MIT.

A two-reviewer process for adversarial code or project review. Two independent reviewers inspect the same fixed target, and only serious problems confirmed by both may be fixed.

In plain words
What is it for?
Use it when someone explicitly asks for Judgment Day, dual review, or an adversarial review of a concrete target.
Why use it?
It reduces the chance that one reviewer misses a serious issue or that unrelated changes expand the review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when someone explicitly asks for Judgment Day, dual review, or an adversarial review of a concrete target.

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Install with agentmods
npx agentmods add skills/gentleman-programming/gentle-ai/judgment-day
About the project

Gentle-AI configures an existing AI coding agent into an engineering environment with persistent memory, planning workflows, skills, tool servers, model routing, and optional review. Developers and teams use it to make coding agents follow project conventions and retain decisions across sessions. The catalogue entries are its skills, commands, agents, and instruction.

Gentleman-Programming/gentle-ai · 6,328 stars · on GitHub · gentle-ai.gentlemanprogramming.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Gentleman-Programming/gentle-ai --skill judgment-day
Clone the repo
git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for judgment-day

README.md
[![agentmods](https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/judgment-day.svg)](https://agentmods.dev/skills/gentleman-programming/gentle-ai/judgment-day)
Your own site
<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/judgment-day"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/judgment-day.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 813 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00813
Opus 5 $0.00018 $0.00407
Sonnet 5 $0.00007 $0.00163
Haiku 4.5 $0.00004 $0.00081

Measured 8d ago against content hash ac2a4fcfd762, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

judgment-day scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

internal/assets/skills/judgment-day/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 54 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 54 lines · 36 tokens per session scan A ac2a4fcfd762

Subscribe to this mod's changes

judgment-day is a skill published in the GitHub repository Gentleman-Programming/gentle-ai (6,328 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 813 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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