Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/andr3xdev-judgment-day
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/judgment-day
What's inside
- Skill name
judgment-day- Description
- Trigger: judgment day, dual review, adversarial review. Run blind dual review with two judges, synthesize findings, fix confirmed issues, re-judge.
- License
- MIT
- Metadata
- author: custom · version: 1.0
- Instructions
- 53 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- prompts-and-formats.md · references/
SKILL.md (first lines)
## Activation Contract
Use when the user explicitly asks for judgment day, dual review, or adversarial review.
## Hard Rules
- Launch two blind judges (judge-a + judge-b) in PARALLEL with identical target and criteria.
- Never review the code yourself — the orchestrator delegates, judges execute.
- Wait for BOTH judges before synthesis — never accept a partial verdict.
- Classify warnings: normal use triggers it → `WARNING (real)`. Contrived/impossible path → `WARNING (theoretical)`.
- Ask the user before fixing Round 1 confirmed issues.
- After any fix, re-launch BOTH judges before declaring done.
- Terminal states: `JUDGMENT: APPROVED` or `JUDGMENT: ESCALATED` only.
- After 2 fix iterations with remaining issues, ask the user whether to continue.
## Decision Gates
| Condition | Action |
|---|---|
| Target unclear | Ask for scope — do not launch judges |
| Both judges find same CRITICAL/real WARNING | Confirmed — ask user, then fix |
| One judge finds issue | Suspect — report and triage, do not auto-fix |
| Judges contradict | Escalate for manual decision |
| Round 2+ only theoretical warnings/suggestions | Report as INFO — do not re-judge |
## Execution Steps
1. Confirm target (files, feature, PR, architecture slice) and optional custom criteria.
2. Resolve skill paths from registry — inject same skills into both judge prompts.
3. Delegate to judge-a and judge-b concurrently with identical target and criteria.
4. Collect both results. Synthesize into verdict table:
- **Confirmed**: both judges agree → fix candidate
- **Suspect**: one judge found it → report, don't auto-fix
- **Contradiction**: judges disagree → escalate to user
- **INFO**: theoretical warnings or suggestions → log only
5. Present verdict table to user. Ask before fixing confirmed issues.
6. If user approves fixes: preserve the source lane — TDD work goes to
`implementer`; non-TDD work goes to `builder`; if unknown, rerun the
test-value gate. Constrain remediation to confirmed issues only.
7. After fixes applied: re-launch both judges in parallel.
8. Repeat until APPROVED (zero confirmed CRITICALs and real WARNINGs) or ESCALATED.
## Output Contract
Return `## Judgment Day — {target}` with:
- Round number
- Verdict table (finding, Judge A, Judge B, severity, status)
- Confirmed / suspect / contradiction counts
- Fixes applied (if any)
- Re-judgment result (if applicable)
- Final: `JUDGMENT: APPROVED ✅` or `JUDGMENT: ESCALATED ⚠️`From Andr3xDev/nuytek-harness, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 2, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0
- License
- MIT
- Repository
- github.com/Andr3xDev/nuytek-harness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
judgment-day skill. Agent Mart. https://agentmart.dev/skills/andr3xdev-judgment-day (last updated 2026-10-24)