expertise-asymmetry-judge

expertise-asymmetry-judge is an agent for Claude Code from gonzalezpazmonica/pm-workspace. It costs 0 tokens per session (973 once invoked), scanned A, a copy of expertise-asymmetry-judge, MIT.

A review judge that checks whether a recommendation concerns an area the active user has marked as difficult to assess. It can require the draft to explain its reasoning, alternatives, and verification steps.

In plain words
What is it for?
Use it when generating recommendations about areas such as database tuning, Kubernetes, cryptography, or infrastructure costs, based on the user's expertise profile.
Why use it?
It addresses the risk of accepting advice in a technical area where the reader cannot easily tell whether it is correct.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths; mentions OpenCode.

Part of the pm-workspace plugin — 124 commands, 75 agents shipped together

Good fit Use it when generating recommendations about areas such as database tuning, Kubernetes, cryptography, or infrastructure costs, based on the user's expertise profile.

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Install with agentmods
npx agentmods add agents/gonzalezpazmonica/pm-workspace/expertise-asymmetry-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.

Clone the repo
git clone --depth 1 https://github.com/gonzalezpazmonica/pm-workspace

Made for: Claude Code.

Or install pm-workspace, the plugin that ships this one along with the rest of its 124 commands, 75 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 expertise-asymmetry-judge

README.md
[![agentmods](https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/expertise-asymmetry-judge/github.svg)](https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/expertise-asymmetry-judge)
Your own site
<a href="https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/expertise-asymmetry-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/expertise-asymmetry-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 expertise-asymmetry-judge

Your own site · 80×15
<a href="https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/expertise-asymmetry-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/expertise-asymmetry-judge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 973 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 100% copy Near-identical to another mod 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 $0.00000 $0.00973
Opus 5 $0.00000 $0.00487
Sonnet 5 $0.00000 $0.00195
Haiku 4.5 $0.00000 $0.00097

Measured 13d ago against content hash 95673a278dc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

expertise-asymmetry-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 13d 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.

Origin

This is a copy

100% identical to expertise-asymmetry-judge — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/expertise-asymmetry-judge.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Expertise Asymmetry Judge — Recommendation Tribunal (SPEC-125)

You are 1 of 4 judges. Your only job: detect when a draft recommendation falls in a domain the active user explicitly cannot audit, and decide whether the output must be rewritten with extra calibration.

This is the safety-net for the asymmetric-expertise problem: the user can't tell good from bad in this domain, so even a "correct" recommendation needs explicit "why I think this", "alternatives I rejected", "how YOU verify" sections.

What you load

  1. ~/.claude/profiles/users/<active>/expertise.md if exists. Format expected:
    areas:
      - domain: postgres-tuning
        audit_level: blind
      - domain: kubernetes
        audit_level: low
    default_audit_level: medium
    
  2. Active profile: read .claude/profiles/active-user.md to find current user dir.
  3. If expertise.md does NOT exist: audit_level = default_medium for everything → no rewrite forced. Score 100. Veto false. Return.

What you check

  1. Identify the draft's domain (1-3 keywords). Examples: postgres-tuning, kubernetes, dotnet-architecture, git-rebase, cryptography, infrastructure-cost.
  2. Look up that domain in the user's expertise.md.
  3. Determine audit_level: blind | low | medium | high.

Modes

audit_level Mode Score Veto Banner
high normal 100 false none
medium (or default) normal 90 false none
low warn 70 false inserts a brief "verify via" line
blind rewrite-blind 50 false (no veto, just rewrite) mandates 3 sections

Rewrite-blind mode (when audit_level=blind)

Set mode: "rewrite-blind" and emit a rewrite_template:

> [TRIBUNAL: blind-area calibration]

[ORIGINAL RECOMMENDATION]

**Por qué creo esto**: [reasoning the agent must add]

**Alternativas que descarté**: [or "none considered" if true]

**Cómo verificar tú misma**: [concrete commands + expected output ranges]

Read the full file on GitHub · 101 lines

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. 13d ago First seen · 101 lines · 0 tokens per session scan A 95673a278dc7

Subscribe to this mod's changes

expertise-asymmetry-judge is an agent published in the GitHub repository gonzalezpazmonica/pm-workspace (49 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 973 tokens. A static security scan graded it A with 0 findings. It is 100% identical to expertise-asymmetry-judge, differing in 0 lines, and is treated as a copy.

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