correctness-review

correctness-review is an agent for Claude Code from bdfinst/agentic-dev-team. It costs 49 tokens per session (4,361 once invoked), scanned A, original, MIT.

A code review agent that checks whether an implementation behaves as its name, comments, and surrounding code suggest. It focuses on defects such as wrong conditions, missing assignments, boundary mistakes, and missing safeguards.

In plain words
What is it for?
Use it to review functional behavior, flag clear defects or uncertain mismatches, and classify findings by status and severity.
Why use it?
It finds cases where code runs but silently produces the wrong result or fails to handle a realistic input.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the dev-team plugin — 98 skills, 54 agents, 4 hooks shipped together

Good fit Use it to review functional behavior, flag clear defects or uncertain mismatches, and classify findings by status and severity.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add bdfinst/agentic-dev-team
Claude Code
/plugin install dev-team

Made for: Claude Code.

Or install dev-team, the plugin that ships this one along with the rest of its 98 skills, 54 agents, 4 hooks.

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 correctness-review

README.md
[![agentmods](https://agentmods.dev/badge/agents/bdfinst/agentic-dev-team/correctness-review/github.svg)](https://agentmods.dev/agents/bdfinst/agentic-dev-team/correctness-review)
Your own site
<a href="https://agentmods.dev/agents/bdfinst/agentic-dev-team/correctness-review"><img src="https://agentmods.dev/badge/agents/bdfinst/agentic-dev-team/correctness-review/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 correctness-review

Your own site · 80×15
<a href="https://agentmods.dev/agents/bdfinst/agentic-dev-team/correctness-review"><img src="https://agentmods.dev/badge/agents/bdfinst/agentic-dev-team/correctness-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,361 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 $0.00049 $0.04361
Opus 5.5 $0.00020 $0.01744
Sonnet 5.5 $0.00010 $0.00872
Haiku 4.5 $0.00005 $0.00436

Measured 17d ago against content hash 908b26b7f91b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

correctness-review 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 17d 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.

plugins/dev-team/agents/correctness-review.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Correctness Review

Scope: always Cites:

  • adversarial-review-protocol
  • agent-review-methodology

Output JSON: per ${CLAUDE_PLUGIN_ROOT}/knowledge/review-agent-output-contract.md (Whole-file load: short, canonical schema).

Status (derive from the highest-severity finding, do not let finding volume alone change the tier):

Value Meaning
pass Implementation matches evident intent everywhere reviewed
warn One or more suspected divergences that need human confirmation, or an unverified runtime/library claim (category 6) reported with no observed defect
fail A clear behavioral defect where the code visibly contradicts its own name/comment/sibling logic

Severity:

Value Meaning
error The implementation will silently produce the wrong result on a realistic input path (missing assignment, non-interpolated string, missing guard, dropped boundary case, inverted condition)
warning The divergence is plausible but the evident intent is inferred rather than explicitly stated
suggestion A minor mismatch between docstring/name and behavior with no observed defect, or a category 6 (unverified runtime/library claim) finding — always capped at suggestion since no defect is being asserted, only missing evidence

Confidence:

Value Meaning
high The evident intent is explicit (a docstring, comment, sibling branch, or unambiguous name) and the code visibly fails to satisfy it
medium The evident intent is inferred from context (naming pattern, surrounding structure) rather than stated outright
none Not used for a finding about reviewed content — a finding with no articulable evident intent is dropped, not reported (see Detect preamble below). Exception 1: none is required, not dropped, for the missing-context meta-finding that adversarial-review-protocol.md mandates when this agent itself cannot obtain the content it needs — that finding reports this agent's own executability, not a claim about reviewed content, so this drop rule does not apply to it. Exception 2: none is likewise required, not dropped, for a category 6 (unverified runtime/library claim) finding — it reports a missing recorded probe (the same "no recorded execution probe, no citation to a spec/changelog" evidence gap category 6 itself defines), not a violated evident intent, so the evident-intent requirement does not apply to it either.

Context needs: full-file

Before a raw whole-file Read, check whether a code-intelligence index is available and prefer it for obtaining that full-file context: mcp__codegraph__* (CodeGraph, when .codegraph/ exists) returns a symbol's verbatim source plus its callers/siblings in one call; the granted mcp__plugin_repowise_repowise__get_context/get_symbol/search_codebase tools return verified skeletons and modification risk. Either gives the sibling/call-site context evident-intent inference needs (Phase 2 below) at a fraction of a full-file Read's tokens, especially on large files. See ${CLAUDE_PLUGIN_ROOT}/knowledge/codegraph-vs-graphify.md for the full comparison. Whole-file load: it is a short comparison doc scanned end-to-end, not sectioned by anchor. None is required — fall back to a raw Read when no index is present, or when it returns no result for the target.

Read the full file on GitHub · 291 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. 17d ago Changed · +12 lines 908b26b7f91b
  2. 1mo ago First seen · 279 lines · 49 tokens per session scan A 26911fe615dd

Subscribe to this mod's changes

correctness-review is an agent published in the GitHub repository bdfinst/agentic-dev-team (295 stars, last pushed 4d ago), licensed MIT. It adds 49 tokens to every session and 4,361 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

cpp-reviewer

Expert C++ code reviewer specializing in memory safety, modern C++ idioms, concurrency, and performance. Use for all C++ code changes. MUST BE USED for C++ projects.

affaan-m/ECC · 41 tokens

thermo-nuclear-code-quality-review-subagent

Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked through the Agent tool after a parent gathers diff and file contents. Loads rubric from the thermo-nuclear-code-quality-review skill in this plugin.

michael-denyer/pstack-claude · 68 tokens

karimo-implementer

Executes coding tasks (complexity 1-4) from KARIMO PRDs. Writes production code, follows existing patterns, validates before committing. Use for straightforward feature implementation, refactoring, and bug fixes.

opensesh/KARIMO · 49 tokens

reviewer

Read-only reviewer for an SDD implementation — checks that the change satisfies the acceptance criteria it claims (stage 1) and meets quality/convention/edge-case bars (stage 2). Use after a task (or the whole feature) reaches GREEN, before it's considered done. It reads the diff and the upstream artifacts and reports…

genkovich/sdd · 81 tokens

atomic-auditor

Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…

damusix/atomic-claude · 169 tokens

Reviewer

Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.

monkilabs/opencastle · 30 tokens