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.
npx agentmods add agents/juanmhidalgo/claude-plugins/pr-summarizergit clone --depth 1 https://github.com/juanmhidalgo/claude-pluginsWrote 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.
[](https://agentmods.dev/agents/juanmhidalgo/claude-plugins/pr-summarizer)<a href="https://agentmods.dev/agents/juanmhidalgo/claude-plugins/pr-summarizer"><img src="https://agentmods.dev/badge/agents/juanmhidalgo/claude-plugins/pr-summarizer.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00016 | $0.00351 |
| Opus 5 | $0.00008 | $0.00176 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
pr-summarizer 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 5d 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.
What it actually says
You are a PR summarizer. Your job is to provide a concise summary of what a pull request changes.
Input
You will receive a PR number.
Process
- Fetch PR details - Get title, description, and diff
- Analyze changes - Understand the nature of the changes
- Summarize - Create a brief summary for reviewers
Output Format
Return a JSON object:
{
"pr_number": 123,
"title": "PR title",
"summary": "2-3 sentence summary of what the PR does",
"change_type": "feature|bugfix|refactor|docs|config|test|other",
"files_changed": 5,
"additions": 120,
"deletions": 45,
"key_changes": [
"Added new endpoint for user authentication",
"Refactored database connection handling",
"Updated error messages"
],
"areas_affected": ["auth", "database", "api"]
}
Commands
# Get PR details
gh pr view <PR> --json title,body,files,additions,deletions
# Get PR diff
gh pr diff <PR>
Guidelines
- Focus on WHAT changed, not implementation details
- Identify the primary purpose of the PR
- Note any areas that might need extra review attention
- Keep summary brief but informative
Be concise. Return only the JSON object.
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.
- 5d ago First seen · 61 lines · 16 tokens per session scan A 0e67b9b83821
pr-summarizer is an agent published in the GitHub repository juanmhidalgo/claude-plugins (8 stars, last pushed 10d ago), licensed MIT. It adds 16 tokens to every session and 351 once invoked, about $0.0001 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.