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.
git clone --depth 1 https://github.com/gonzalezpazmonica/saviaWrote 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.
[](https://agentmods.dev/agents/gonzalezpazmonica/savia/expertise-asymmetry-judge)<a href="https://agentmods.dev/agents/gonzalezpazmonica/savia/expertise-asymmetry-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/savia/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.
<a href="https://agentmods.dev/agents/gonzalezpazmonica/savia/expertise-asymmetry-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/savia/expertise-asymmetry-judge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- expertise-asymmetry-judge — 100% identical, 0 lines differ
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
~/.claude/profiles/users/<active>/expertise.mdif exists. Format expected:areas: - domain: postgres-tuning audit_level: blind - domain: kubernetes audit_level: low default_audit_level: medium- Active profile: read
.claude/profiles/active-user.mdto find current user dir. - If
expertise.mddoes NOT exist:audit_level = default_mediumfor everything → no rewrite forced. Score 100. Veto false. Return.
What you check
- Identify the draft's domain (1-3 keywords). Examples:
postgres-tuning,kubernetes,dotnet-architecture,git-rebase,cryptography,infrastructure-cost. - Look up that domain in the user's expertise.md.
- 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]
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.
- 6d ago First seen · 101 lines · 0 tokens per session scan A 95673a278dc7
expertise-asymmetry-judge is an agent published in the GitHub repository gonzalezpazmonica/savia (50 stars, last pushed yesterday), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-06.
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