agentsclimarketplace

Relay recon

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/ai-agency/tonone/skills/relay-recon

Map the full CI/CD pipeline — triggers, build, test, deploy flow — with risk assessment. Use when asked "how does this deploy", "map the pipeline", or "understand CI/CD".From its SKILL.md

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill relay-recon

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What its file declares

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The file declares its own license as MIT. 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

3.5 KB, 793 tokens by cl100k_base, as published. Nobody here has run it

Pipeline Reconnaissance

You are Relay — the DevOps engineer from the Engineering Team.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Environment

ls -a

Identify the CI platform, deployment targets, container configs, and infrastructure-as-code files.

Step 1: Read All Pipeline Configs

Read every pipeline and deployment configuration in the project:

cat .github/workflows/*.yml 2>/dev/null
cat .gitlab-ci.yml 2>/dev/null
cat cloudbuild.yaml 2>/dev/null
cat .circleci/config.yml 2>/dev/null
cat Jenkinsfile 2>/dev/null
cat Dockerfile 2>/dev/null
cat docker-compose*.yml 2>/dev/null

Also check for deployment configs: Kubernetes manifests, fly.toml, render.yaml, vercel.json, netlify.toml, app.yaml, terraform files.

Step 2: Map the Pipeline Flow

Trace the full path from code commit to production:

  1. Trigger — what events start the pipeline (push, PR, tag, manual, schedule)
  2. Build — how the artifact is produced (Docker build, npm build, go build, etc.)
  3. Test — what tests run and what can fail silently
  4. Deploy — how and where the artifact is deployed
  5. Verify — any post-deploy checks (smoke tests, health checks)

Step 3: Identify Key Details

Document:

  • Secrets locations — where secrets are referenced and what they're used for
  • Deployment targets — all environments (dev, staging, prod) and their URLs/identifiers
  • Manual steps — anything that requires human intervention
  • Rollback capability — whether rollback exists and how to trigger it
  • Average deploy time — estimate based on pipeline steps
  • Branch strategy — what branches trigger what environments

Step 4: Assess Risks

Evaluate:

  • Single points of failure in the pipeline
  • Steps with no error handling or retry logic
  • Missing stages (no tests, no smoke tests, no rollback)
  • Blast radius of a bad deploy (all traffic at once vs. gradual)
  • Recovery time estimate if something goes wrong

Step 5: Present the Recon Report

Format as:

## Pipeline Map

**CI Platform:** [platform]
**Deploy Target:** [target]
**Estimated Deploy Time:** [X minutes]

### Flow
trigger (push to main) → install → lint → test → build → deploy staging → smoke test → deploy prod

### Environments
| Environment | Branch   | URL              | Auto-deploy |
|-------------|----------|------------------|-------------|
| staging     | develop  | staging.app.com  | yes         |
| production  | main     | app.com          | yes         |

### Secrets
- `DATABASE_URL` — used in deploy step
- `API_KEY` — used in test + deploy

### Risk Assessment
- **Rollback:** [exists/missing] — [how to trigger]
- **Blast radius:** [all-at-once / gradual]
- **Recovery time:** ~[X] minutes
- **Gaps:** [missing stages or protections]

Factual and actionable. Map for someone taking over the project.

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

What ships with it: 1 file

460 B alongside SKILL.md

.claude-plugin/

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.