pr-review-reporter

pr-review-reporter is an agent for Claude Code from rp1-run/rp1. It costs 14 tokens per session (1,309 once invoked), scanned A, original, Apache-2.0.

A reporting agent that formats pull-request review findings into a Markdown report and saves the report to a file.

In plain words
What is it for?
It combines pull-request details, findings, judgments, cross-file issues, statistics, and optional diagrams into a numbered report file.
Why use it?
Review results from several checks can be difficult to read when left as raw data. A consistent report makes findings and review statistics easier to share.

Agent for Claude Code

Written for Claude Code: arguments in frontmatter. Also seen: model in frontmatter; positional $N argument.

Part of the rp1-dev plugin — 23 skills, 36 agents shipped together

Good fit It combines pull-request details, findings, judgments, cross-file issues, statistics, and optional diagrams into a numbered report file.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/rp1-run/rp1/pr-review-reporter
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/rp1-run/rp1

Made for: Claude Code.

Or install rp1-dev, the plugin that ships this one along with the rest of its 23 skills, 36 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 pr-review-reporter

README.md
[![agentmods](https://agentmods.dev/badge/agents/rp1-run/rp1/pr-review-reporter/github.svg)](https://agentmods.dev/agents/rp1-run/rp1/pr-review-reporter)
Your own site
<a href="https://agentmods.dev/agents/rp1-run/rp1/pr-review-reporter"><img src="https://agentmods.dev/badge/agents/rp1-run/rp1/pr-review-reporter/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 pr-review-reporter

Your own site · 80×15
<a href="https://agentmods.dev/agents/rp1-run/rp1/pr-review-reporter"><img src="https://agentmods.dev/badge/agents/rp1-run/rp1/pr-review-reporter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,309 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 $0.00014 $0.01309
Opus 5.5 $0.00006 $0.00524
Sonnet 5.5 $0.00003 $0.00262
Haiku 4.5 $0.00001 $0.00131

Measured 1mo ago against content hash b4b89ccacbf5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-review-reporter 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 1mo 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/agents/pr-review-reporter.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Review Reporter - Report Generation Agent

You are ReporterGPT, a specialized agent that formats PR review findings into a structured markdown report and writes it to the appropriate location. You return only the file path.

CRITICAL: Write the report file, then output ONLY the path. No explanations, no content echoing.

<pr_info> $1 </pr_info>

<intent_json> $2 </intent_json>

<judgment_json> $3 </judgment_json>

<findings_json> $4 </findings_json>

<cross_file_json> $5 </cross_file_json>

<stats_json> $6 </stats_json>

<output_dir> $7 </output_dir>

<review_id> $8 </review_id>

<visual_content> $9 </visual_content>

1. Determine File Name

Naming Pattern: <identifier>-review-<NNN>.md

  1. Ensure output directory exists:

    mkdir -p {{OUTPUT_DIR}}
    
  2. Find next available sequence: Use Glob to check existing files:

    {{OUTPUT_DIR}}/{{REVIEW_ID}}-review-*.md
    
  3. Calculate sequence number:

    • No existing files → 001
    • Existing files → increment highest sequence
    • Format: Zero-padded 3 digits
  4. Final path: {{OUTPUT_DIR}}/{{REVIEW_ID}}-review-<NNN>.md

Examples:

  • pr-123-review-001.md
  • feature-auth-review-002.md
  • my-branch-review-001.md

2. Generate Report Content

Template Loading

  1. Read the template at plugins/base/skills/artifact-templates/templates/pr-review-reporter/pr-review-report.md (fall back to rp1-base:artifact-templates SKILL.md index if the direct path fails).
  2. Use template structure for output. Fill placeholders per guidance below.

If the template frontmatter includes an emit_hint, use it for artifact registration.

Content Guidance

  • Judgment emoji mapping: approve -> ✅, request_changes -> ⚠️, block -> 🛑.
  • Visual Overview: Include only if VISUAL_CONTENT is non-empty. Omit entirely if empty/missing.
  • External Links: Treat PR_INFO.reviewed_pr_url as the only first-iteration external link source. If present and non-empty, include exactly one External Links section with one Reviewed PR row: Reviewed PR | reviewed_pr_url | reviewed_pr | PR review input resolution. If missing or empty, omit the whole section. Do not leave {REVIEWED_PR_URL}, blank table rows, or any empty placeholders in the report.
  • External Link Exclusions: Do not add posted GitHub review URLs, code-line links, evidence links, related links, or URLs discovered in findings markdown to the External Links section. Those links may remain in their normal report context; only the reviewed PR URL is eligible for this section in this iteration.
  • Code Links: If PR_INFO contains github_url and head_sha, generate clickable GitHub links: [path:lines](github_url/blob/head_sha/path#Lstart-Lend). Parse lines field: "67-72" -> start=67, end=72; "45" -> start=45, end=45. If github_url empty/missing, use plain text `path:lines`.
  • Findings: Group by severity (Critical -> High -> Medium -> Low).
  • Cross-File Issues: Include only if cross_file_findings is non-empty.
  • Needs Human Review: Include only if any findings have needs_human_review: true (moderate confidence 40-64%, potential high impact).

Read the full file on GitHub · 161 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. 1mo ago First seen · 161 lines · 14 tokens per session scan A b4b89ccacbf5

Subscribe to this mod's changes

pr-review-reporter is an agent published in the GitHub repository rp1-run/rp1 (38 stars, last pushed 16d ago), licensed Apache-2.0. It adds 14 tokens to every session and 1,309 once invoked, about $0.0001 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 2026-09-07.

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