# How Code Review Confidence Scoring Works in Claude Code > Understand Claude Code's confidence scoring. It assigns a 0-100 value to issues, filtering below 80 to deliver high-signal feedback, improving your code review process. - Repository: [Anthropic/claude-code](https://github.com/anthropics/claude-code) - Tags: explained - Published: 2026-04-02 --- **Claude Code's code review confidence scoring assigns a 0-100 numeric value to each detected issue, filtering out any results below a configurable threshold (default 80) to ensure only high-signal feedback reaches developers.** The Code Review plugin in the `anthropics/claude-code` repository employs a multi-agent pipeline that evaluates pull requests and assigns confidence scores to every potential issue. This **code review confidence scoring** system ensures reviewers receive only actionable, high-confidence findings by requiring each detected problem to meet a strict numerical threshold before surfacing. ## The Confidence Scoring Pipeline The scoring mechanism operates across four distinct phases, as implemented in [`plugins/code-review/commands/code-review.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/commands/code-review.md) and documented in [`plugins/code-review/README.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/README.md). ### Parallel Agent Execution The plugin launches four specialized agents simultaneously to analyze changes. According to the source code, these include two CLAUDE.md compliance agents, one Opus bug-detector, and one historical-context analyzer. Each agent independently produces a list of candidate issues, creating redundant coverage that reduces false positives. ### Sub-Agent Validation For every issue flagged by the bug-detector agents (agents 3 and 4), parallel sub-agents re-evaluate the finding against the PR title and description. Only issues that survive this secondary validation move forward to the scoring phase, eliminating speculative detections early. ### Nx Confidence Scoring Each validated issue receives individual attention from an **Nx confidence scorer**. This component analyzes the evidence—including code diffs, CLAUDE.md rule citations, and git-blame data—to calculate a numeric confidence value between **0** and **100**. The scoring rubric documented in the README at lines 78-84 defines the scale: - **0** – Not confident / false positive - **25** – Somewhat confident - **50** – Moderately confident - **75** – Highly confident - **100** – Absolutely certain ### Threshold Filtering After scoring, the plugin filters out any issue whose confidence falls below the configured threshold. The default threshold is **80**, as specified in [`plugins/code-review/commands/code-review.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/commands/code-review.md) at lines 16-19 and documented in the README at lines 24-26. Only issues scoring 80 or higher appear in the final output. ## Configuring the Confidence Threshold Users can adjust the strictness of the filter by modifying the command definition file. To change the threshold, edit [`plugins/code-review/commands/code-review.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/commands/code-review.md): ```markdown # In code-review.md (around line 16) Filter out any issues with a score less than 80. ``` Replace `80` with any value between `0` and `100`. Lower values surface more potential issues but increase noise, while higher values enforce stricter quality gates. ## Running Code Reviews with Confidence Filtering When you execute the review command, the confidence threshold automatically applies to all detected issues. Run a review with the default 80-point threshold: ```bash /code-review ``` Post high-confidence issues directly to the pull request: ```bash /code-review --comment ``` Both commands only surface issues meeting the confidence threshold, ensuring the output contains exclusively high-signal feedback. If no issues meet the threshold, the plugin emits a "No issues found" message. ## Summary - Claude Code's code review plugin uses **four parallel agents** to detect potential issues in pull requests - Each issue undergoes **sub-agent validation** before receiving a confidence score - The **Nx confidence scorer** assigns values from 0-100 based on evidence quality, following the rubric in [`plugins/code-review/README.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/README.md) lines 78-84 - A **configurable threshold** (default 80, defined in [`plugins/code-review/commands/code-review.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/commands/code-review.md) lines 16-19) filters out low-confidence results - Only issues scoring **80 or higher** appear in terminal output or PR comments ## Frequently Asked Questions ### What is the default confidence threshold in Claude Code? The default confidence threshold is **80**. Issues scoring below this value are automatically filtered out and never shown to users. You can modify this threshold by editing the filter value in [`plugins/code-review/commands/code-review.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/commands/code-review.md) at lines 16-19. ### How are confidence scores calculated for detected issues? An **Nx confidence scorer** evaluates each validated issue individually, examining evidence such as the code diff, specific CLAUDE.md rule citations, and git-blame data. It outputs a numeric score between 0 and 100 according to the rubric defined in [`plugins/code-review/README.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/README.md) at lines 78-84. ### Why does Claude Code use multiple agents for code review? The plugin runs **four specialized agents in parallel**—two CLAUDE.md compliance checkers, one Opus bug-detector, and one historical-context analyzer—to create redundant coverage. This multi-agent approach reduces false positives and ensures comprehensive analysis before confidence scoring occurs. ### Can I see all issues regardless of confidence score? While the default behavior filters out issues below the threshold, you can lower the threshold to **0** in [`plugins/code-review/commands/code-review.md`](https://github.com/anthropics/claude-code/blob/main/plugins/code-review/commands/code-review.md) to surface all detected issues. However, this will include speculative findings and potential false positives that the confidence scoring system normally suppresses.