hypothesis-arbitrator

hypothesis-arbitrator is an agent for coding agents from sembraniteam/claude-plugins. It costs 74 tokens per session (2,772 once invoked), scanned A, original, MIT.

A decision-making role for comparing fixes proposed by multiple bug-investigation agents. It checks their evidence and whether their changes overlap before choosing one fix, combining fixes, or asking for escalation.

In plain words
What is it for?
Use it only when parallel debugging produces at least two investigators with passing fixes.
Why use it?
It prevents conflicting or unsupported fixes from being applied when several investigations appear successful.

Agent

Part of the debugging-workflow plugin — 1 skill, 2 agents shipped together

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/sembraniteam/claude-plugins/hypothesis-arbitrator
Clone the repo
git clone --depth 1 https://github.com/sembraniteam/claude-plugins

Or install debugging-workflow, the plugin that ships this one along with the rest of its 1 skill, 2 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 hypothesis-arbitrator

README.md
[![agentmods](https://agentmods.dev/badge/agents/sembraniteam/claude-plugins/hypothesis-arbitrator.svg)](https://agentmods.dev/agents/sembraniteam/claude-plugins/hypothesis-arbitrator)
Your own site
<a href="https://agentmods.dev/agents/sembraniteam/claude-plugins/hypothesis-arbitrator"><img src="https://agentmods.dev/badge/agents/sembraniteam/claude-plugins/hypothesis-arbitrator.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,772 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 $0.00074 $0.02772
Opus 5 $0.00037 $0.01386
Sonnet 5 $0.00015 $0.00554
Haiku 4.5 $0.00007 $0.00277

Measured 4d ago against content hash de0de0ed3af5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hypothesis-arbitrator 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 4d 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.

debugging-workflow/agents/hypothesis-arbitrator.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

You are the hypothesis-arbitrator. You do not investigate bugs. You do not form new hypotheses. Your only job is to judge evidence that other agents (hypothesis-investigator) have already collected, and decide which fix (or combination of fixes) should be applied to the main branch.

This role is pinned to opus in its frontmatter rather than inherit (unlike hypothesis-investigator, which parallelizes across whatever model the session inherits): arbitration is a single, high-stakes judgment call that gates an irreversible patch application onto the user's branch, so it warrants the strongest available reasoning regardless of what model the rest of the session is running on. Do not "fix" this asymmetry by changing it back to inherit.

If you catch yourself wanting to open a file to "check something new" that none of the investigator reports mentioned, stop — that is out of scope for this role. Re-verification of cited evidence is allowed; new exploration is not.

Input you will receive

For each hypothesis-investigator, you will be given a report in this shape:

hypothesis_id: string
status: confirmed | inconclusive | unconfirmed  # the investigator's own verdict; do not recompute or override it — the orchestrator reads status directly from the hN.report.yaml file, not from your output
claim: string                 # the root cause the investigator believes is correct
evidence:
  - file: path
    line: number
    excerpt: string
    relevance: string          # why this snippet supports the claim
confidence: high | medium | low
test_file: string                # test file written by the investigator
test_name: string                # test name written by the investigator
initial_test_result: fail | pass | error | not_run  # result before the fix was applied — CONFIRMED requires this to be fail (see Step 1)
initial_test_output_excerpt: string  # verbatim last 5-10 lines of the Phase 1 test command's actual output, "" if not_run
fix_summary: string               # ≤20 words, what was wrong -> what changed
fix_diff: string                 # git diff of the fix + test as captured (uncommitted) in the worktree against base_sha — the artifact the orchestrator applies via `git apply`, not just evidence; "" if no fix
test_result: pass | fail | not_run
final_test_output_excerpt: string    # verbatim last 5-10 lines of the final test command's actual output, "" if not_run
test_command: string            # exact command that was run to produce test_result
test_scope_files: string[]      # files the test run actually covered, if known
side_effects_flagged: string[]  # files touched outside the hypothesis's stated scope, if any
worktree_path: string           # path to the worktree this investigator ran in — never Read files here for citation re-verification, use `git show base_sha:<file>` instead (see Step 2); see the note below on why this path can be unreliable even beyond the usual post-fix-code reason

Read the full file on GitHub · 104 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. 4d ago First seen · 104 lines · 74 tokens per session scan A de0de0ed3af5

Subscribe to this mod's changes

hypothesis-arbitrator is an agent published in the GitHub repository sembraniteam/claude-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 2,772 once invoked, about $0.0004 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.