Pr analysis
A collection of structured AI agent skills that enable Claude Code, Cursor, GitHub Copilot, and other AI coding assistants to create, operate, debug, and govern Harness CI/CD workflows through natural language.
npx -y skills add harness/harness-skills --skill pr-analysisAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Analyze pull request impact on Harness pipelines via MCP. Assess PR pipeline impact by identifying which pipelines, services, and environments are affected by code changes. Perform security-focused PR reviews checking for secrets, vulnerabilities, and compliance. Track PRs from merge through deployment to production verification. Use when asked to analyze PR impact, review PR security, or track a PR to production. Trigger phrases: PR impact, pull request analysis, PR security review, PR to production, merge impact, deployment tracking, code change impact, PR pipeline, which pipelines affected.
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
6.4 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it
PR Analysis
Analyze pull request pipeline impact, run security-focused reviews, and track PRs from merge to production deployment.
Instructions
Step 1: Establish Scope
Confirm the service, repository, and PR details.
Call MCP tool: harness_list
Parameters:
resource_type: "pipeline"
org_id: "<organization>"
project_id: "<project>"
Step 2: Identify the PR Analysis Task
Determine which analysis the user needs:
- PR Pipeline Impact Analysis -- Which pipelines, services, and environments are affected
- Security-Focused PR Review -- Check for secrets, vulnerabilities, and compliance issues
- PR to Production Tracker -- Track a PR from merge through deployment and verification
Step 3: PR Pipeline Impact Analysis
Gather from the user:
- Service name and repository
- PR description and changed components (files/directories modified)
Identify affected resources:
Call MCP tool: harness_list
Parameters:
resource_type: "trigger"
org_id: "<organization>"
project_id: "<project>"
Analyze impact:
- Pipelines triggered: Which CI/CD pipelines will fire on merge (based on triggers and path filters)
- Services affected: Which Harness services reference the changed code or manifests
- Environments reached: Which environments will receive the change (dev, staging, prod)
- Downstream impact: Other services that depend on the changed service
- Infrastructure changes: Any Terraform, Helm, or Kubernetes manifest changes
Present findings as:
- DIRECT IMPACT: Pipelines and services directly triggered
- INDIRECT IMPACT: Downstream services and dependent deployments
- RISK LEVEL: Low (test/docs only), Medium (application code), High (infrastructure/security/config)
Step 4: Security-Focused PR Review
Gather from the user:
- Service name and repository
- PR description and changed components
Security checklist:
Secrets and Credentials:
- Scan for hardcoded secrets, API keys, tokens, or passwords in the diff
- Check for new environment variables that should use Harness Secrets
- Verify no secrets are logged or exposed in error messages
Dependency Changes:
- Check for new dependencies with known CVEs
- Verify license compatibility of new dependencies
- Flag dependencies from untrusted or deprecated sources
Configuration Security:
- Check for overly permissive RBAC or IAM changes
- Verify network policies and security group modifications
- Review any changes to authentication or authorization logic
Compliance:
- Verify changes don't violate OPA policies configured in Harness
- Check if changes require additional security review or approval
- Flag changes to compliance-sensitive code paths (PII handling, encryption)
Present findings as a structured security report with PASS/FAIL/WARNING per category.
Step 5: PR to Production Tracker
Gather from the user:
- Service name, PR title, and target environment
- Expected deployment window
Track the PR lifecycle:
Stage 1 -- Merge:
- PR merged to target branch
- CI pipeline triggered
Stage 2 -- Build:
Call MCP tool: harness_list
Parameters:
resource_type: "execution"
org_id: "<organization>"
project_id: "<project>"
- Build pipeline status and duration
- Test results and coverage delta
- Security scan results
Stage 3 -- Deploy to Staging:
- Staging deployment pipeline status
- Verification results in staging
Stage 4 -- Production Deployment:
- Production pipeline status
- Canary or blue-green deployment progress
- Health check results post-deployment
Stage 5 -- Verification:
- Error rate comparison: pre-deploy vs. post-deploy
- Latency comparison: pre-deploy vs. post-deploy
- SLO compliance check
Present a timeline view showing the PR's journey with status at each stage and elapsed time.
Examples
- "What pipelines will this PR trigger?" -- Analyze triggers, path filters, and downstream services to identify all affected pipelines
- "Review this PR for security issues before merge" -- Run security checklist covering secrets, dependencies, RBAC, and compliance
- "Track my PR from merge to production" -- Monitor the PR through build, staging deploy, production deploy, and verification
- "What is the blast radius of this code change?" -- Identify all services, environments, and pipelines impacted
Performance Notes
- Pipeline impact analysis depends on correctly configured triggers -- misconfigured path filters can miss affected pipelines.
- Security reviews should be automated in the CI pipeline, not just done manually -- use Harness STO for continuous scanning.
- PR tracking is most useful for critical changes -- routine PRs may not need full lifecycle tracking.
- Track PR-to-production cycle time over time to identify process bottlenecks (part of DORA Lead Time for Changes).
Troubleshooting
Pipeline Impact Not Matching Actual Triggers
- Check trigger path filters -- glob patterns may not match the actual file paths changed
- Verify branch conditions on triggers (e.g., main-only vs. all branches)
- Look for manual triggers or scheduled pipelines that also deploy the same service
Security Review False Positives
- Common false positives: test fixtures with dummy credentials, documentation examples
- Add exceptions for test directories and example files
- Verify secret scanning rules match the actual secret formats in use
PR Tracking Losing Visibility After Merge
- Verify the CI trigger fires on merge to the target branch
- Check that pipeline identifiers in the tracker match the actual pipeline names
- Ensure deployment pipelines have the correct artifact reference to pick up the new build
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most research analysis skills give in ~1.2k tokens
Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-07
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Said here and by no other author read
- confirm service repository and PR details
- determine which analysis the user needs
- identify affected pipelines services and environments
- identify downstream and infrastructure impacts
- present impact findings with risk levels
- scan for hardcoded secrets and credentials
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.