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 skills add wangke19/gemini-ai-helpers --skill coderabbit-adoptiongit clone --depth 1 https://github.com/wangke19/gemini-ai-helpersWrote 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/skills/wangke19/gemini-ai-helpers/coderabbit-adoption)<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.
<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>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 5.1 | $0.00016 | $0.01106 |
| Opus 5 | $0.00008 | $0.00553 |
| Sonnet 5 | $0.00003 | $0.00221 |
| Haiku 4.5 | $0.00002 | $0.00111 |
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.
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.
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
-
GitHub CLI (
gh): Must be installed and authenticated with access to theopenshiftorg.gh auth status -
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
}
]
}
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.
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.
- 8d ago First seen · 139 lines · 16 tokens per session scan A 7cd9f9e9f6ab
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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