CodeRabbit Adoption Report

CodeRabbit Adoption Report is a skill for Claude Code, Codex from wangke19/gemini-ai-helpers. It costs 16 tokens per session (1,106 once invoked), scanned A, original, Apache-2.0.

An adoption report that measures how often CodeRabbit, an automated pull-request review tool, comments on merged GitHub pull requests across the OpenShift organization.

In plain words
What is it for?
Use it to measure organization-wide adoption, find repositories with high or low usage, and generate reports for stakeholders.
Why use it?
It replaces manual counting with a consistent view of which repositories use CodeRabbit and how adoption changes over time.

Skill for Claude CodeCodex

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

Good fit Use it to measure organization-wide adoption, find repositories with high or low usage, and generate reports for stakeholders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wangke19/gemini-ai-helpers/coderabbit-adoption
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 wangke19/gemini-ai-helpers --skill coderabbit-adoption
Clone the repo
git clone --depth 1 https://github.com/wangke19/gemini-ai-helpers

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 CodeRabbit Adoption Report

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/coderabbit-adoption/github.svg)](https://agentmods.dev/skills/wangke19/gemini-ai-helpers/coderabbit-adoption)
Your own site
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/coderabbit-adoption"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/coderabbit-adoption/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 CodeRabbit Adoption Report

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/coderabbit-adoption"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/coderabbit-adoption.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,106 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 $0.00016 $0.01106
Opus 5 $0.00008 $0.00553
Sonnet 5 $0.00003 $0.00221
Haiku 4.5 $0.00002 $0.00111

Measured 8d ago against content hash 7cd9f9e9f6ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

CodeRabbit Adoption Report 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (coderabbit_adoption.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

extensions/teams/skills/coderabbit-adoption/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CodeRabbit Adoption Report

This skill queries the GitHub search API to measure what percentage of merged PRs in the openshift GitHub organization received comments from the coderabbitai[bot] app.

When to Use This Skill

Use this skill when you need to:

  • Measure CodeRabbit adoption rates across the openshift org
  • Identify repos with high or low CodeRabbit usage
  • Generate adoption reports for stakeholders
  • Track adoption trends over time

Prerequisites

  1. GitHub CLI (gh): Must be installed and authenticated with access to the openshift org.

    gh auth status
    
  2. Python 3: Python 3.6 or later is required.

Implementation Steps

Step 1: Verify Prerequisites

gh auth status
python3 --version

Step 2: Run the Script

The script is located at:

extensions/teams/skills/coderabbit-adoption/coderabbit_adoption.py

Execute with appropriate arguments:

# Default: last 30 days, org-wide summary only (2 API calls)
python3 extensions/teams/skills/coderabbit-adoption/coderabbit_adoption.py

# Specific date range
python3 extensions/teams/skills/coderabbit-adoption/coderabbit_adoption.py \
  --start-date 2026-02-01 --end-date 2026-02-28

# Detailed mode: per-repo breakdowns (~50 API calls, prone to rate limiting)
# ONLY use when user explicitly requests --detailed
python3 extensions/teams/skills/coderabbit-adoption/coderabbit_adoption.py --detailed

Step 3: Parse the Output

The script outputs JSON to stdout with the following structure:

Default mode (2 API calls, no per-repo data):

{
  "start_date": "2026-02-04",
  "end_date": "2026-03-06",
  "total_merged_prs": 7950,
  "prs_with_coderabbit": 1445,
  "adoption_pct": 18.2,
  "detailed": false,
  "repo_breakdown": [],
  "no_coderabbit_activity": []
}

Detailed mode (~50 API calls, with per-repo data):

{
  "start_date": "2026-02-04",
  "end_date": "2026-03-06",
  "total_merged_prs": 7950,
  "prs_with_coderabbit": 1445,
  "adoption_pct": 18.2,
  "detailed": true,
  "per_repo_approximate": true,
  "repo_breakdown": [
    {
      "repo": "openshift/cincinnati-graph-data",
      "cr_count": 150,
      "total": 196,
      "adoption_pct": 76.5
    }
  ],
  "no_coderabbit_activity": [
    {
      "repo": "openshift/release",
      "total": 1072
    }
  ]
}

Read the full file on GitHub · 139 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 139 lines · 16 tokens per session scan A 7cd9f9e9f6ab

Subscribe to this mod's changes

CodeRabbit Adoption Report is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 16 tokens to every session and 1,106 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 2026-09-03.

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