Koalr for GitHub
Deploy Risk on Every PR
Install the Koalr GitHub App and every pull request gets a risk score from 0 to 100 before it's merged. Block high-risk deploys automatically. No other platform predicts production incidents before they happen.
A Koalr account is required. Sign up free, then install the GitHub App from your integration settings.
Koalr Deploy Risk — Score: 18
Low risk — safe to deploy
Koalr Deploy Risk — Score: 87
High risk — coverage drop, missing CODEOWNERS review
Signal breakdown — PR #3022
How it works
From install to your first risk score in under five minutes.
Install the GitHub App
Click Install and grant Koalr access to your GitHub organization. Select which repositories to include. Takes under two minutes.
Koalr analyzes your PRs
Koalr ingests your PR history and runs 36 risk signals across every open and recent pull request. Coverage, CODEOWNERS, churn, author history, and more.
Risk scores appear in GitHub
Every PR gets a Koalr Check Run with a pass/fail status and numeric score. High-risk PRs can block merge automatically. Engineers see exactly what to fix.
Sign up first, then install the GitHub App from your Koalr settings.
Everything in your GitHub flow
Koalr surfaces engineering intelligence where engineers already work — in pull requests, not separate dashboards.
Deploy Risk Scoring
36 research-validated signals score every PR 0–100 before merge. Coverage drops, CODEOWNERS violations, file churn, author experience, deploy timing, and more — all weighted and explained.
GitHub Check Runs
Risk scores appear as native GitHub Check Runs on every PR. Set a threshold and automatically block high-risk merges. No new tools to learn — it lives where your team already works.
Blast Radius Propagation
Before you merge, see which downstream services are affected. Koalr maps your service dependency graph and calculates how far the blast radius extends — across teams and repos.
AI Risk Briefings
Proactive AI-generated briefings summarize risk across open PRs before your deploy window opens. Know what needs attention before the on-call engineer is paged.
Autonomous Code Review
Koalr automatically assigns the right reviewers based on CODEOWNERS rules, file ownership history, team expertise maps, and current reviewer workload. No more manual pings.
DORA Metrics Dashboard
Deployment frequency, lead time for changes, MTTR, and change failure rate — all pulled from your GitHub data automatically. No manual tagging, no spreadsheets.
Minimal permissions. No source code access.
Koalr requests only what it needs to calculate risk scores. Your source code, secrets, and PR diffs are never read.
| Permission | Level | Why |
|---|---|---|
| Pull requests | Read | Analyze PR metadata and reviewer coverage |
| Contents | Read | Read CODEOWNERS file and commit metadata |
| Checks | Write | Post risk score as a GitHub Check Run |
| Deployments | Read | Track deployment events for DORA metrics |
| Metadata | Read | Required for all GitHub Apps |
Koalr reads PR metadata, commit hashes, CODEOWNERS files, and deployment events only. Source code file contents, PR diffs, secrets, and credentials are never accessed. Full details at koalr.com/security.
Free to install. Free to start.
The free plan includes 5 contributors and 10 PR risk checks per week — enough for a small team to see immediate value. Upgrade when you're ready for unlimited checks and GitHub Check Runs on every PR.
Free
$0/month
- 5 contributors
- 10 PR risk checks/week
- Deploy risk dashboard
- DORA metrics
Growth
Popular$39/contributor/mo
- Unlimited PR risk checks
- GitHub Check Runs on every PR
- Blast radius maps
- Full 36-signal breakdown
- Unlimited contributors
Business
$55/contributor/mo
- Everything in Growth
- AI risk briefings (Claude)
- Autonomous reviewer assignment
- AI chat on live engineering data
- SAML SSO
Start predicting failures before they happen
Install the Koalr GitHub App in two minutes. See your first risk score before your next deploy.
Sign up first, then install the GitHub App from your integration settings — takes under two minutes.