judge

judge is a skill for Claude Code, Codex from JHostalek/dotclaude. It costs 17 tokens per session (292 once invoked), scanned A, original, CC0-1.0.

An independent expert-review process for evaluating completed work before it is accepted or extended.

In plain words
What is it for?
Use it to review a feature or file through multiple lenses, such as domain expertise, practicality, and alternative approaches.
Why use it?
Separate reviewers can catch architectural mistakes, weak trade-offs, and missed alternatives that the person who built the work may overlook.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the jhostalek-skills plugin — 9 skills shipped together

Good fit Use it to review a feature or file through multiple lenses, such as domain expertise, practicality, and alternative approaches.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jhostalek/dotclaude/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 JHostalek/dotclaude --skill judge
Clone the repo
git clone --depth 1 https://github.com/JHostalek/dotclaude

Made for: Claude Code, Codex.

Or install jhostalek-skills, the plugin that ships this one along with the rest of its 9 skills.

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 judge

README.md
[![agentmods](https://agentmods.dev/badge/skills/jhostalek/dotclaude/judge.svg)](https://agentmods.dev/skills/jhostalek/dotclaude/judge)
Your own site
<a href="https://agentmods.dev/skills/jhostalek/dotclaude/judge"><img src="https://agentmods.dev/badge/skills/jhostalek/dotclaude/judge.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 292 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.
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 $0.00017 $0.00292
Opus 5 $0.00009 $0.00146
Sonnet 5 $0.00003 $0.00058
Haiku 4.5 $0.00002 $0.00029

Measured yesterday against content hash fb5f410b8a08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

judge 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 yesterday.

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.

skills/judge/SKILL.md · 17 lines

What it actually says

Review $ARGUMENTS, or the latest substantive work when omitted. Infer scope from the conversation and relevant files; ask only if ambiguity would materially change the review.

Delegate to one independent, read-only reviewer with a clean context: the requested outcome, constraints, subject, relevant files, stack, and project conventions. Do not provide your verdict or preferred critique. Add reviewers only for materially distinct expertise. If delegation is unavailable, disclose that limitation; do not call self-review independent.

Ask the reviewer to assess domain fitness, architectural choices, proportionality, and fundamentally different ways to achieve the outcome. Distinguish justified deviations from missed constraints; compare simplicity against real requirements and account for the adoption costs of alternatives. Feature necessity is a separate lens available through /audit necessity, not an automatic additional pass.

Retain findings supported by specific evidence, an actionable alternative, and its costs. Distinguish defects, valid trade-offs, and preferences. Remove claims that misread constraints or lack evidence; preserve meaningful disagreements if multiple reviewers were used.

Report a clear recommendation and its rationale, validated strengths, findings by importance, and the single most valuable change, if any. Identify missing evidence and reviewer limitations. Stop after the report; implement only when asked.

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. yesterday Changed · -50 lines · -6 tokens per session fb5f410b8a08
  2. 8d ago First seen · 67 lines · 23 tokens per session scan A aaa05fd9f4a4

Subscribe to this mod's changes

judge is a skill published in the GitHub repository JHostalek/dotclaude (11 stars, last pushed 2d ago), licensed CC0-1.0. It adds 17 tokens to every session and 292 once invoked, about $0.0001 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 2026-08-31.