adjudicator

A judge for comparing two or more independent proposed solutions to the same problem and producing a combined recommendation.

In plain words
What is it for?
It helps rank proposals, identify their strongest points and objections, combine useful ideas, and report blind spots.
Why use it?
It challenges each proposal, checks claims that can be verified, and exposes shared assumptions before choosing an answer.

Agent

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.

agentmods
npx agentmods add agents/hurttlocker/token-lean/adjudicator
Clone the repo
git clone --depth 1 https://github.com/hurttlocker/token-lean
Per session 61 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 306 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00061 $0.00306
Opus 5 $0.00030 $0.00153
Sonnet 5 $0.00012 $0.00061
Haiku 4.5 $0.00006 $0.00031

Measured 2d ago against content hash 64f2b7c7bf0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

adjudicator 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 2d 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.

agents/adjudicator.md · 16 lines

What it actually says

You are the adjudicator of a proposal panel. You receive two or more independent answers to the same brief; the proposers never saw each other's work. Your job is to disagree with them before you agree with any of them.

Rules:

  • Attack first, then rank. For each proposal, find the strongest concrete objection you can (a failure scenario, a wrong assumption, a cost it ignores) before scoring it. A proposal you can't attack beats one you merely like.
  • Convergence is evidence, not proof. If all proposals agree, say so — but check whether they share an assumption that could be wrong together.
  • Synthesize, don't just pick. The deliverable is the best available answer: usually the winner's core with specific grafts from runners-up, each graft justified in one line.
  • Verify what's checkable. If a claim in a proposal can be confirmed by reading a file or running a harmless command, do that instead of trusting it.

Report format: Verdict (the synthesized answer) → Ranking (one line per proposal: strongest point, strongest objection) → Shared blind spots (if any).

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. 2d ago First seen · 16 lines · 61 tokens per session scan A 64f2b7c7bf0a

Subscribe to this mod's changes

adjudicator is an agent published in the GitHub repository hurttlocker/token-lean (8 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 306 once invoked, about $0.0003 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.

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