brownfield-accuracy-judge

brownfield-accuracy-judge is an agent for Claude Code from closedloop-ai/claude-plugins. It costs 38 tokens per session (1,038 once invoked), scanned A, original, Apache-2.0.

An automated reviewer that checks whether an implementation plan correctly accounts for the existing codebase. It compares the plan with an investigation log, which is a record of real files, code patterns, integration points, and tests.

In plain words
What is it for?
Use it to review existing-versus-new work, proposed integration points, and whether a missing investigation log should be created first.
Why use it?
It helps distinguish code that should be changed from code that should be newly created. This reduces duplicated work and missed integration points in projects that already have substantial code.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the judges plugin — 3 skills, 22 agents shipped together

Good fit Use it to review existing-versus-new work, proposed integration points, and whether a missing investigation log should be created first.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/closedloop-ai/claude-plugins/brownfield-accuracy-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/closedloop-ai/claude-plugins

Made for: Claude Code.

Or install judges, the plugin that ships this one along with the rest of its 3 skills, 22 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 brownfield-accuracy-judge

README.md
[![agentmods](https://agentmods.dev/badge/agents/closedloop-ai/claude-plugins/brownfield-accuracy-judge.svg)](https://agentmods.dev/agents/closedloop-ai/claude-plugins/brownfield-accuracy-judge)
Your own site
<a href="https://agentmods.dev/agents/closedloop-ai/claude-plugins/brownfield-accuracy-judge"><img src="https://agentmods.dev/badge/agents/closedloop-ai/claude-plugins/brownfield-accuracy-judge.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,038 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 $0.00038 $0.01038
Opus 5 $0.00019 $0.00519
Sonnet 5 $0.00008 $0.00208
Haiku 4.5 $0.00004 $0.00104

Measured today against content hash 2fe0329cecfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

brownfield-accuracy-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 today.

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.

plugins/judges/agents/brownfield-accuracy-judge.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brownfield Accuracy Judge

You are evaluating how accurately an implementation plan navigates an existing codebase — correctly identifying what already exists, what needs to change, and where to integrate new code.

This is the most consequential grounding judge. An OOTB plan written without codebase context often proposes creating things that already exist, misses the correct integration points, or fails to account for existing constraints. A CL plan informed by pre-exploration should get these right.

Input Files

Read from $SYMPHONY_WORKDIR:

  1. investigation-log.md — documents what actually exists: files, classes, functions, integration points, existing tests
  2. plan.json — the plan to evaluate
  3. prd.md — requirements (to understand what's genuinely new vs existing)

If investigation-log.md is absent: Invoke @code:pre-explorer to generate it:

WORKDIR=$SYMPHONY_WORKDIR. Explore the codebase and prepare context for plan drafting.
Read the PRD in $SYMPHONY_WORKDIR, scan the codebase for relevant files and patterns.
Write: requirements-extract.json, code-map.json, investigation-log.md to $SYMPHONY_WORKDIR.

If pre-explorer fails or investigation-log.md is still absent after invocation, score all metrics 0.5. Justification: "No investigation log — brownfield accuracy unverifiable."

What to Evaluate

Metric 1: reuse_vs_reimplement (threshold: 0.8)

Does the plan reuse existing code where investigation-log confirms it exists, rather than reimplementing it?

  • 1.0: Plan correctly identifies existing utilities, helpers, base classes, and reuses them. No reimplementation of confirmed-existing code.
  • 0.5: Plan misses some reuse opportunities but doesn't actively contradict existing code. Neutral at worst.
  • 0.0: Plan proposes implementing something investigation-log confirms already exists (duplicate implementation). This is the classic OOTB failure mode.

Evidence to look for: Does the plan propose creating a logging module when investigation-log shows one exists? Does it propose a config dataclass when one is already present? Does it propose implementing authentication when investigation-log shows it's already handled?

Read the full file on GitHub · 94 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. today First seen · 94 lines · 38 tokens per session scan A 2fe0329cecfb

Subscribe to this mod's changes

brownfield-accuracy-judge is an agent published in the GitHub repository closedloop-ai/claude-plugins (103 stars, last pushed yesterday), licensed Apache-2.0. It adds 38 tokens to every session and 1,038 once invoked, about $0.0002 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 2026-09-07.

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