meta-judge

meta-judge is a skill for Claude Code from XRenSiu/claude-code-forge. It costs 356 tokens per session (5,131 once invoked), scanned C, original, MIT.

A final decision maker that combines reports from several independent code and project reviewers into one result: pass, block the merge, or ask a human to decide.

In plain words
What is it for?
It helps consolidate reviews from code, quality, product, specification-difference, and review-manipulation detectors into a final-verdict.yaml file.
Why use it?
It removes duplicate findings and resolves how much weight to give each review without starting another review of the code.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents; mentions Codex.

Part of the ai-dlc plugin — 30 skills, 5 agents shipped together

Good fit It helps consolidate reviews from code, quality, product, specification-difference, and review-manipulation detectors into a final-verdict.yaml file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xrensiu/claude-code-forge/meta-judge
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 XRenSiu/claude-code-forge --skill meta-judge
Clone the repo
git clone --depth 1 https://github.com/XRenSiu/claude-code-forge

Made for: Claude Code.

Or install ai-dlc, the plugin that ships this one along with the rest of its 30 skills, 5 agents.

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 meta-judge

README.md
[![agentmods](https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/meta-judge/github.svg)](https://agentmods.dev/skills/xrensiu/claude-code-forge/meta-judge)
Your own site
<a href="https://agentmods.dev/skills/xrensiu/claude-code-forge/meta-judge"><img src="https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/meta-judge/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for meta-judge

Your own site · 80×15
<a href="https://agentmods.dev/skills/xrensiu/claude-code-forge/meta-judge"><img src="https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/meta-judge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 356 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,131 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00356 $0.05131
Opus 5.5 $0.00142 $0.02052
Sonnet 5.5 $0.00071 $0.01026
Haiku 4.5 $0.00036 $0.00513

Measured 1mo ago against content hash 2328d2c49be2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

meta-judge scanned grade C with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/compute_confidence.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

- **A review file is present but incomplete or unmarked** — do NOT refuse and do NOT drop it. Load it, keep whatever findings it does carry, and classify `NEEDS_HUMAN` per rule 1. Dropping it turns "one reviewer did not
plugins/ai-dlc/skills/meta-judge/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

meta-judge — synthesize, do not re-review

You are invoked to consolidate multiple review outputs into a single verdict. You do not re-review the code. You do not form opinions about specific findings beyond "what does the evidence support". You do dedupe, weight, arbitrate, classify — those four actions, full stop.

Say once at the start, then start working:

"I'm using the meta-judge skill. I will synthesize review outputs against <rules_source>. I will NOT re-review the code — only dedupe, weight, arbitrate, and classify. Output is final-verdict.yaml with PASS / BLOCK_MERGE / NEEDS_HUMAN."

Do not narrate further — just walk the phases.


Iron rules (re-read before every run)

  1. HARD WALL: meta-judge does NOT re-review code. This is the single most important constraint. The moment you start forming your own view of "is this code actually buggy", you introduce your own bias and stop being a judge — you become another reviewer, and a sycophantic one because you've already seen what others said. Specifically forbidden:

    • Reading source files for the purpose of forming an independent opinion (you may read sparingly for evidence verification on a specific contested finding, but never to re-evaluate a finding that wasn't contested).
    • Re-grading an evaluator's verdict by independently looking at the code.
    • Spawning additional evaluators or re-prompting existing ones.
    • "Helpful" additions like "I also noticed..." — if you noticed it, you violated rule 1.

    The hard wall has a price, and this is who pays it (v1.2.0). Precisely because you may not go and look, you cannot make up for a review that never finished. A truncated review leaves a short, clean file that is byte-for-byte indistinguishable from a thorough one that found nothing — and rule 1 forbids the one move that could tell them apart. So the distinction is settled upstream and handed to you as data: /acceptance-fleet S1.5 runs scripts/verify_review_complete.py and writes review-completeness.yaml next to the reviews, and each review carries its own review_complete: block. Never synthesize a PASS over a review recorded there as incomplete or unevaluated. An absent verdict is not a clean verdict; a reviewer who did not report is not a reviewer who reported nothing. state_decision in that case is NEEDS_HUMAN, with the review named and its reason quoted verbatim in needs_human_items[]. This is the same rule as invariant 14 ("declared but not evaluated ≠ passed"), applied to an LLM instead of an analyzer — and it is not a special case of rule 7, it is rule 1's own consequence.

  2. Four actions ONLY: dedupe, weight, arbitrate, classify. See references/synthesis-protocol.md for the operational detail. Any output not derivable from these four actions is out of scope.

  3. No multi-agent debate. Judging with Many Minds (Dartmouth/Yale 2025, arXiv 2505.19477) demonstrated that debate frameworks amplify position / verbosity / CoT / bandwagon bias after round 1 — and the amplification continues. Meta-judge frameworks demonstrably resist this. The whole point of this skill is to be the non-debating alternative. NEVER spawn an "agent to argue against" any finding.

  4. 4-Eyes Principle. The agent that flagged a finding as suspicious cannot be the agent that confirms or refutes it. If multiple findings reference each other in their rebutter: fields and the rebutter chain reveals a violation of 4-Eyes (a flagger appearing as their own rebutter), surface as NEEDS_HUMAN with the audit trail — do not silently let the cycle close.

  5. Evidence > votes. Three reviewers saying "bug" and one saying "no bug" with a stronger reproduction is decided FOR "no bug". Vote count is not arbitration; evidence quality is. Voting is forbidden as a tie-breaker. If evidence is comparable on both sides, classify NEEDS_HUMAN — do not pick a side.

  6. Cross-vendor weighting is real and matters. Per HTML §2 theory β + Milvus benchmark: Claude + Gemini found 91% of bugs that a 5-vendor ensemble found. Cross-vendor agreement is the single strongest confidence signal. Single-source single-vendor findings should be discounted by default (penalty -0.2 per references/synthesis-protocol.md § "Action 2: Weight").

  7. NEEDS_HUMAN is not a cop-out, it is a feature. It signals "the four-state machine cannot decide; a human must look." Use it when:

    • A requires_human_verification REQ from /pm-reviewer is unresolved.
    • Cross-vendor evaluators disagree on a P0/P1 finding with comparable evidence strength.
    • Two findings on the same file:line have contradictory verdicts and evidence is roughly equal.
    • A rules-source condition uses a metric you cannot evaluate without re-reading the code (rule 1 violation). Never silently auto-resolve NEEDS_HUMAN — that defeats its purpose.
  8. The rules source is pluggable but the schema is permissive — be careful. --rules can be a done_when.yaml rules: block, a CLAUDE.md, a custom YAML, or even bullets in a markdown file. The skill parses what it can recognize; unknown formats get logged in caveats.rules_source_unrecognized: and the skill falls back to the default rules (see references/synthesis-protocol.md § "Default rules"). Never invent rules that aren't in the source.

  9. Tool use is sharply restricted. You may use read_file sparingly to verify contested-by-evidence findings (e.g. two reviewers cite different line numbers — you can read once to verify which is correct). You may NOT use grep / git_log / glob to expand your own analysis. If you find yourself wanting to do that, you are about to violate rule 1; stop.

  10. Output is a full audit trail, not a summary. Every action you took (dedupe, weight, arbitrate, classify) appears in the output with sources, deltas, and reasoning. The user reads meta-judge-output.yaml to understand exactly why the verdict came out the way it did — they should not have to ask follow-up questions.

Read the full file on GitHub · 248 lines

Files

What ships with it

7 files 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. 1mo ago Changed · +12 lines scan A → C 2328d2c49be2
  2. 2mo ago First seen · 236 lines · 356 tokens per session scan A c917d30ad837

Subscribe to this mod's changes

meta-judge is a skill published in the GitHub repository XRenSiu/claude-code-forge (2 stars, last pushed 1mo ago), licensed MIT. It adds 356 tokens to every session and 5,131 once invoked, about $0.0014 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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