github-pr-stats

github-pr-stats is a skill for Claude Code, Codex from cxcscmu/SkillLearnBench. It costs 32 tokens per session (629 once invoked), scanned A, original, MIT.

A GitHub pull request reporting guide that shows how to calculate counts, merge times, and contributor totals from GitHub data. Pull requests are proposed code changes submitted for review.

In plain words
What is it for?
Use it to report total, merged, and closed pull requests, average time to merge, and the contributor with the most pull requests.
Why use it?
It removes the need to work out these team metrics manually from a list of pull requests.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to report total, merged, and closed pull requests, average time…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cxcscmu/skilllearnbench/github-pr-stats
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.

Any agent
npx skills add cxcscmu/SkillLearnBench --skill github-pr-stats
Clone the repo
git clone --depth 1 https://github.com/cxcscmu/SkillLearnBench

Made for: Claude Code, Codex.

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 github-pr-stats

README.md
[![agentmods](https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/github-pr-stats.svg)](https://agentmods.dev/skills/cxcscmu/skilllearnbench/github-pr-stats)
Your own site
<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/github-pr-stats"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/github-pr-stats.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 629 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 $0.00032 $0.00629
Opus 5 $0.00016 $0.00315
Sonnet 5 $0.00006 $0.00126
Haiku 4.5 $0.00003 $0.00063

Measured 3d ago against content hash 4ecbe5c7bf20, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

github-pr-stats 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 3d 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.

skills/b1-one-shot-claude-sonnet-4-6/github-repo-analytics/github-pr-stats/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub PR Statistics

Overview

After fetching PR data from the GitHub API, use Python or jq to compute:

  • Total PR count
  • Merged vs closed counts
  • Average time-to-merge (days)
  • Top contributor by PR count

Fetching PRs for a Date Range

# Using gh search (handles pagination, date filtering)
gh pr list -R cli/cli \
  --search "created:2024-12-01..2024-12-31" \
  --state all \
  --limit 500 \
  --json number,author,createdAt,mergedAt,closedAt,state

Python: Compute Stats from JSON

import json
from datetime import datetime, timezone
from collections import Counter

# Load PR data (from gh pr list --json output)
with open('prs.json') as f:
    prs = json.load(f)

total = len(prs)

# Count merged vs closed-but-not-merged
merged = [pr for pr in prs if pr['mergedAt']]
closed = [pr for pr in prs if not pr['mergedAt'] and pr['state'] == 'CLOSED']

# Average time to merge (creation -> mergedAt), in days
def parse_dt(s):
    return datetime.fromisoformat(s.replace('Z', '+00:00'))

merge_days = []
for pr in merged:
    created = parse_dt(pr['createdAt'])
    merged_at = parse_dt(pr['mergedAt'])
    delta = (merged_at - created).total_seconds() / 86400
    merge_days.append(delta)

avg_merge_days = round(sum(merge_days) / len(merge_days), 1) if merge_days else 0.0

# Top contributor
authors = Counter(pr['author']['login'] for pr in prs)
top_contributor = authors.most_common(1)[0][0]

print(json.dumps({
    "total": total,
    "merged": len(merged),
    "closed": len(closed),
    "avg_merge_days": avg_merge_days,
    "top_contributor": top_contributor
}, indent=2))

Notes on State Values

  • gh pr list --json returns state as "OPEN", "CLOSED", or "MERGED"
  • mergedAt is non-null only for merged PRs
  • A PR with state == "CLOSED" and mergedAt == null is truly closed (not merged)

Notes on the Search API

  • created:2024-12-01..2024-12-31 is inclusive on both ends
  • Dec 31 means up to 2024-12-31T23:59:59Z
  • Use --limit 500 to avoid truncation for active repos

Read the full file on GitHub · 81 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. 3d ago First seen · 81 lines · 32 tokens per session scan A 4ecbe5c7bf20

Subscribe to this mod's changes

github-pr-stats is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 629 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 2026-09-03.