tribunal

tribunal is a skill for Claude Code from a-tokyo/agent-skills. It costs 207 tokens per session (3,047 once invoked), scanned A, original, MIT.

A review process that assigns one agent to do the work and separate reviewers to test it against agreed acceptance criteria. The reviewers include an adversarial check designed to look for hidden failures.

In plain words
What is it for?
Use it for complex or high-stakes deliverables where defects are costly, such as releases, migrations, or changes spanning several parts of a system.
Why use it?
It reduces the chance that one implementation pass ships an unnoticed defect. Decisions are based on newly reproduced evidence, with targeted fixes preferred when the problem is limited.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the all-skills plugin — 6 skills shipped together

Good fit Use it for complex or high-stakes deliverables where defects are costly, such as releases, migrations, or changes spanning several parts of a system.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/a-tokyo/agent-skills/tribunal
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 a-tokyo/agent-skills --skill tribunal
Clone the repo
git clone --depth 1 https://github.com/a-tokyo/agent-skills

Made for: Claude Code.

Or install all-skills, the plugin that ships this one along with the rest of its 6 skills.

Its marketplace also offers this one on its own, as the plugin tribunal/plugin install tribunal after adding the marketplace above.

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 tribunal

README.md
[![agentmods](https://agentmods.dev/badge/skills/a-tokyo/agent-skills/tribunal/github.svg)](https://agentmods.dev/skills/a-tokyo/agent-skills/tribunal)
Your own site
<a href="https://agentmods.dev/skills/a-tokyo/agent-skills/tribunal"><img src="https://agentmods.dev/badge/skills/a-tokyo/agent-skills/tribunal/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 tribunal

Your own site · 80×15
<a href="https://agentmods.dev/skills/a-tokyo/agent-skills/tribunal"><img src="https://agentmods.dev/badge/skills/a-tokyo/agent-skills/tribunal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 207 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,047 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 $0.00207 $0.03047
Opus 5 $0.00103 $0.01523
Sonnet 5 $0.00041 $0.00609
Haiku 4.5 $0.00021 $0.00305

Measured 10d ago against content hash e76a7098f8a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

tribunal 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 10d 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

Copies of this mod

1 near-identical copy found in the catalogue:

  • tribunal — 100% identical, 0 lines differ
skills/tribunal/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tribunal

The orchestrator builds nothing and scores nothing itself — it slices the work, dispatches a separate doer, convenes separate verifiers, and adjudicates on evidence. Three behaviors carry the value: an adversarial second look that catches what a single pass ships silently, as named failure scenarios; calibrated verdicts — locally fixable defects get ITERATE, not "rewrite everything", and passing math is overridden only by verified evidence; evidence before claims — nothing is "done" without fresh reproduction; refuted claims are excluded, never averaged in. Announce at start: "Running this through the tribunal pattern: doer -> verifier panel -> consensus."

When to use

Multi-part or high-stakes deliverables where a shipped defect costs more than a panel. Not for trivial edits, anything one verification command proves, or ordinary code review (dialogue improving a change vs independent measurements of a frozen artifact against pre-declared criteria, adjudicated to a ship decision). Never nest tribunals — no role runs the protocol on its own output.

The loop

  1. Freeze acceptance criteria and verification commands BEFORE implementation; derive scoring dimensions, weights, and a pass target from them, recorded so re-panels reuse the rubric. Identify the operative skills in play — those bearing on how the artifact is built or judged (e.g. production-grade); never the tribunal skill itself nor pure orchestration skills — and fold their standards into the criteria. Verify-only entry (artifact already exists): write criteria from the original request — never reverse-engineered from it — freeze, start at step 3.
  2. Spawn a SEPARATE doer agent (never the orchestrator itself) with the full slice spec pasted in (never "read the plan file") and the operative skills named with an instruction to load them (load production-grade, etc.) — if it cannot load a named skill it says so rather than proceeding. If the orchestrator writes or edits the deliverable, there is no independent artifact to verify and the run collapses to one context. The doer implements, runs the verification commands, materializes the artifact durably — committed, pushed, or published so it outlives the doer's session — and reports a diff summary, verbatim output, the artifact's fetchable address, and exactly one status (table below). DONE without an address is not DONE.
  3. Check the report against the actual diff yourself; dispatch the panel in parallel, context-walled.
  4. Adjudicate per consensus-mechanics.md; record verdict, dissents, caveats, and round count in the ledger.
  5. SHIP -> next slice. ITERATE -> findings become a fix list for a fresh doer; re-panel with fresh verifiers re-scoring every dimension, prior findings as risks.

Read the full file on GitHub · 198 lines

Files

What ships with it

4 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. 10d ago First seen · 198 lines · 207 tokens per session scan A e76a7098f8a2

Subscribe to this mod's changes

tribunal is a skill published in the GitHub repository a-tokyo/agent-skills (15 stars, last pushed 1mo ago), licensed MIT. It adds 207 tokens to every session and 3,047 once invoked, about $0.0010 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 2026-08-30.

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