Agent skill

Coderabbit Adoption

by openshift-eng in openshift-eng/ai-helpers

Report on CodeRabbit adoption across OpenShift org PRs. An agent skill from openshift-eng/ai-helpers.

Apache-2.0Auto-check passed

Install Coderabbit Adoption

skills CLI
$ npx skills add openshift-eng/ai-helpers --skill coderabbit-adoption -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openshift-eng/ai-helpers coderabbit-adoption --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/teams/skills/coderabbit-adoption .claude/skills/coderabbit-adoption && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
coderabbit-adoption
GitHub stars
120
Token cost
~1k tokens
SKILL.md length
361 words
Files
3
Skills in repo
118
Repo updated
First seen
Licence
Apache-2.0

At a glance

Report on CodeRabbit adoption across OpenShift org PRs. An agent skill from openshift-eng/ai-helpers.

  • Works in 5 steps: Verify Prerequisites → Run the Script → Parse the Output → …
  • SKILL.md covers When to Use This Skill, Prerequisites, Implementation Steps and Notes
  • Runs Python scripts from its folder; calls python3 and gh

What it does

Coderabbit Adoption is an agent skill from openshift-eng/ai-helpers. Report on CodeRabbit adoption across OpenShift org PRs

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `coderabbit_adoption.py`).

It works with GitHub. The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.

Example prompts

  • “/coderabbit-adoption”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Verify Prerequisites
  2. Run the Script
  3. Parse the Output
  4. Format and Present the Report
  5. AI Analysis

What it can do on your machine

Read from SKILL.md and the folder at commit a627176. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Coderabbit Adoption loads about 1k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 361 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openshift-eng/ai-helpers at commit a627176, republished under its Apache-2.0 licence (© openshift-eng). 361 words, ~1,021 tokens.

Download SKILL.mdSave it as .claude/skills/coderabbit-adoption/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
coderabbit-adoption
description
Report on CodeRabbit adoption across OpenShift org PRs

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.

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

Implementation Steps

Step 1: Verify Prerequisites
bash
gh auth status
python3 --version
Step 2: Run the Script

The script is located at:

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

Execute with appropriate arguments:

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

# Specific date range
python3 plugins/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 plugins/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):

json
{
  "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):

json
{
  "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
    }
  ]
}

Field Descriptions:

  • start_date, end_date: The date range queried
  • total_merged_prs: Total merged PRs in the openshift org
  • prs_with_coderabbit: PRs where coderabbitai[bot] commented
  • adoption_pct: Overall adoption percentage
  • detailed: Whether detailed mode was used
  • per_repo_approximate: (detailed only) True if per-repo breakdown is approximate (>1000 CodeRabbit PRs)
  • repo_breakdown: (detailed only) Array of top repos sorted by CR count descending
  • no_coderabbit_activity: (detailed only) High-volume repos with zero CodeRabbit comments
Show full SKILL.md (155 more words)Show less
Step 4: Format and Present the Report
  • Default mode: Present the summary stats (total PRs, CodeRabbit PRs, adoption %)
  • Detailed mode: Also include per-repo table and no-activity list
Step 5: AI Analysis

After presenting the data, provide:

  • License gap analysis: repos in repo_breakdown are enabled; missing reviews = engineers without licenses
  • Observations on adoption trends
  • In default mode, mention --detailed is available but warn it is prone to GitHub API rate limits

Notes

  • API usage: Default mode uses only 2 API calls. --detailed makes ~50 calls with 2-second sleeps between each to respect GitHub's search API rate limit (30 requests/minute). Even with throttling, --detailed may hit rate limits and takes several minutes.
  • The script uses gh CLI with -X GET for all GitHub API calls (required for the search endpoint)
  • Uses Python's standard library only (no external dependencies)
  • Diagnostic messages go to stderr, JSON data to stdout
  • Never use --detailed unless the user explicitly asks for it

© openshift-eng, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in plugins/teams/skills/coderabbit-adoption of openshift-eng/ai-helpers.

  • SKILL.md
  • allowed-repos.txt
  • coderabbit_adoption.py

Open the folder on GitHubat commit a627176

Compare with similar skills

Coderabbit Adoption next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Coderabbit Adoption compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Coderabbit Adoption this skillopenshift-eng/ai-helpers120—~1kAutomated safety check: PassApache-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about Coderabbit Adoption

What does Coderabbit Adoption do?

Report on CodeRabbit adoption across OpenShift org PRs. An agent skill from openshift-eng/ai-helpers. Coderabbit Adoption is an agent skill from openshift-eng/ai-helpers.

How do I install Coderabbit Adoption in Claude Code?

Run `npx skills add openshift-eng/ai-helpers --skill coderabbit-adoption -a claude-code`. Or copy the skill folder (plugins/teams/skills/coderabbit-adoption in openshift-eng/ai-helpers) into .claude/skills/coderabbit-adoption in your project. Claude Code loads it when a task matches its description.

How do I install Coderabbit Adoption in Codex?

Run `npx skills add openshift-eng/ai-helpers --skill coderabbit-adoption -a codex`. Or copy the skill folder (plugins/teams/skills/coderabbit-adoption in openshift-eng/ai-helpers) into .agents/skills/coderabbit-adoption in your project. Codex loads it when a task matches its description.

Can I use Coderabbit Adoption in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openshift-eng/ai-helpers --skill coderabbit-adoption -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/coderabbit-adoption, .gemini/skills/coderabbit-adoption, .github/skills/coderabbit-adoption and .opencode/skills/coderabbit-adoption in your project.

What does Coderabbit Adoption need to run?

Going by SKILL.md and its folder, Coderabbit Adoption needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and gh). Our summary lists: Python 3.

Does Coderabbit Adoption access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Coderabbit Adoption safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Coderabbit Adoption use?

Coderabbit Adoption is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Coderabbit Adoption use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Coderabbit Adoption?

Skills that share tags, products or a category with Coderabbit Adoption: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Coderabbit Adoption?

openshift-eng (a GitHub organization) maintains it in openshift-eng/ai-helpers, which has 120 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on October 6, 2026.

Source: openshift-eng/ai-helpers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.