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Example: Diagnose a failed replay
Audience: AI agent skill (OpenCode, Claude Code, Codex)
Goal: Given a failing replay plan, find failed cases, fetch diff artifact, optionally inspect record logs.
Prerequisites
bash
export SP_API_URL=http://127.0.0.1:8090
export SP_TOKEN=<jwt>Steps
1. Confirm backend and list apps
bash
sp health --json
sp app list --jsonSelect appId from data.items[].appId.
2. Find the plan
If the user supplied planId, skip. Otherwise:
bash
sp app replays my-app --limit 5 --json3. List failed cases
bash
sp replay case list --plan plan-xyz --failed --page 1 --limit 20 --jsonFrom each item collect diffId, replayId, planItemId, traceId.
4. Fetch diff (artifact)
bash
sp replay diff get diff-abc --out-dir .sp-work --jsonParse data.artifact and read the JSON file in a follow-up tool call. Inspect baseMsg vs testMsg.
5. Optional: record logs
When failure may be agent-side (no recording, incomplete trace):
bash
sp record logs overview --trace-id <traceId> --json
sp record logs download --trace-id <traceId> --out-dir .sp-work --json6. Optional: metadata for full-link
bash
sp replay metadata <replayId> --jsonUse data.fullLink to decide if sp replay compare needs traceId.
Skill prompt snippet
markdown
When diagnosing SoftProbe replay failures:
1. Run `sp replay case list --plan <id> --failed --json`
2. For each diffId: `sp replay diff get <id> --out-dir .sp-work --json`
3. Read the artifact file path from JSON; do not parse multi-MB stdout
4. If traceId unknown, ask user for business ID and run `sp trace find`