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Datadog Unblock PR

Datadog Unblock PRSkill

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v1.0.0
MIT
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Summary

Official Datadog skill that triages a failing PR pipeline, attributing every CI failure as flaky, infra or genuine regression and proposing a targeted fix.

Features

  • Attributes each CI failure as flaky, infrastructure or regression
  • Proposes a targeted action per failure instead of a blanket re-run
  • Reports PR code coverage plus quality and security status
  • Auto-detects Datadog MCP server or pup CLI, with a full translation appendix
  • Derives repository ID and default branch from the git remote
  • Hands off to the triage-flaky-test skill for deep flake investigation

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---
name: unblock-pr
description: Load when investigating a failing PR CI pipeline or checking PR health. Attributes each CI failure as flaky, infra, or regression, proposes a targeted action, and reports code coverage and quality/security status.
metadata:
  version: "1.0.0"
  author: datadog-labs
  repository: https://github.com/datadog-labs/agent-skills
  tags: datadog,ci,cicd,flaky,flaky-tests,pipeline
  alwaysApply: "false"
---

# Unblock PR

One-line summary: Investigate a failing PR CI pipeline — attribute each failure as flaky, infra, or regression and propose a targeted action.

Requires: `dd-pup` skill (pup CLI installed and authenticated), `triage-flaky-test` skill (for flaky failure deep investigation).

---

## Backend

**Detection** — At the start of every invocation, before taking any action, determine which backend to use:

1. If the user passed `--backend pup` anywhere → use **pup mode** immediately. Skip steps 2–4.
2. Check whether `search_datadog_ci_pipeline_events` appears in your available tools.
3. If present → use **MCP mode** throughout. Call tools exactly as named in this skill's workflow sections.
4. If absent → check whether `pup` is executable: run `pup --version` via Bash. If the command exits successfully (exit code 0), pup is available.
5. If pup responds → use **pup mode** throughout. Translate every tool call using the Tool Reference appendix at the bottom of this file.
6. If neither is available → stop and tell the user:
   > "Neither the Datadog MCP server nor the pup CLI is available. Connect the MCP server or install pup (`brew install datadog-labs/pack/pup`)."

**pup invocation rules:**
- Invoke via Bash. pup always outputs JSON — parse directly.
- Repository IDs passed to pup must be fully lowercase (the API rejects mixed-case): `github.com/datadog/my-repo`, not `github.com/DataDog/my-repo`.
- If pup returns a 401/403, tell the user to run `pup auth refresh` or `pup auth login`.

---

## Input

| Parameter | Description |
|---|---|
| PR branch | The branch under investigation (e.g. `my-feature-branch`) |
| Repository | Lowercase, no-schema URL (e.g. `github.com/org/repo`). Derive from `git remote get-url origin` if not provided. |

---

## Workflow

### STEP 0 — Parse Input

Derive repository ID and default branch from git if not provided:

```bash
# Repository ID: fully lowercase, no-schema URL (the API rejects mixed-case)
git remote get-url origin
# Strip protocol and trailing .git, then lowercase the result
# e.g. https://github.com/DataDog/my-repo.git → github.com/datadog/my-repo

# Default branch
git symbolic-ref refs/remotes/origin/HEAD
# Strip refs/remotes/origin/ prefix — fall back to main if unset
```

### STEP 1 — Get PR CI Summary (run in parallel)

**Pipeline failures:**
```
Tool: search_datadog_ci_pipeline_events
query: @ci.status:error @git.branch:<branch> @git.repository.id_v2:"<repo>"
ci_level: job
from: now-24h
```

**Test failures** (only if pipeline results include test-runner jobs):
```
Tool: search_datadog_test_events
query: @test.status:fail @git.branch:<branch> @git.repository.id_v2:"<repo>"
from: now-24h
test_level: test
```

Run both in parallel. Collect all distinct `@test.service` values from test event results. If more than one distinct service is found, note each separately in the triage brief — do not collapse them into a single service filter. If pipeline results contain only infrastructure job types (build, lint, deploy) with no test-runner output, discard test results and skip to STEP 3.

### STEP 1.5 — Fetch PR Health (run in parallel with STEP 1)

This step runs unconditionally — PR health context is valuable whether CI is red or green.

**Code coverage** (both modes):
```
Tool: get_datadog_code_coverage_branch_summary
repository_id: <repo>
branch: <branch>
```

**PR number resolution** (MCP mode only — skip if PR number already provided as input):
```
Tool: get_prs_by_head_branch
repo_url: https://<repo>
head_branch: <branch>
```
Use the first open PR returned. If no open PR is found, skip the quality/security fetch and report "No data available" for Quality and Security.

**Code quality and security** (MCP mode only — only if PR number is available):
```
Tool: search_pr_insights
repo_url: https://<repo>
pr_number: <pr_number>
```
Extract only `code_quality` and `code_security` from `products_status`. Ignore `failed_tests`, `flaky_tests`, and `failed_jobs` — CI data comes from STEP 1–3.

> **pup mode note:** PR number resolution and `search_pr_insights` are not available in pup. Quality and Security always show "No data available" in pup mode.

### STEP 2 — Blame Guard per Failing Job

First check whether `@error_classification.domain` / `@error_classification.type` are present on job events from STEP 1 — if populated, use them as primary classification signals.

For each failing job where classification is still needed, run both checks in parallel:

**Default branch check** — was this job already failing before this PR?
```
Tool: aggregate_datadog_ci_pipeline_events
query: @ci.status:error @ci.job.name:"<job>" @git.branch:<default-branch> @git.repository.id_v2:"<repo>"
ci_level: job
aggregation: count
from: now-24h
```

**Blast radius check** — is this job failing on other branches too?
```
Tool: aggregate_datadog_ci_pipeline_events
query: @ci.status:error @ci.job.name:"<job>" @git.repository.id_v2:"<repo>"
ci_level: job
aggregation: count
group_by: ["@git.branch"]
from: now-24h
```

Performance fallback: if the blast radius query is slow or times out, skip it and rely on the default branch check alone.

### STEP 3 — Classify Each Failure

**Priority order:**
1. If `@error_classification.domain` / `@error_classification.type` present → use as primary signal
2. If test failure AND test in `get_datadog_flaky_tests` with `flaky_test_state:active` → **flaky**
3. Use blame guard results:

| Failing on default branch? | Failing on ≥3 other branches? | Classification |
|---|---|---|
| Yes | Yes | **infra** (pre-existing, widespread) |
| Yes | No | **infra** (pre-existing on default branch) |
| No | No | **regression** (introduced by this PR) |
| No | Yes | **flaky** (intermittent, cross-branch) |
| Insufficient data | — | **unknown** |

### STEP 4 — Produce Triage Brief

One entry per failing job:

```
PR CI Triage Brief
==================
Branch:   <branch>
Repo:     <repo>

Job: <job-name>
  Classification:  <flaky | infra | regression | unknown>
  Evidence:        <1 key data point — error message, pipeline count, or test result>
  Confidence:      <high | medium | low>
  Recommended:     <action>

[repeat for each failing job]

Overall: <N> failures — <e.g. "1 regression, 1 flaky, 1 infra">

PR Health
=========
Coverage:   <X>% on <branch> | No data available
Quality:    <N violations (X high, Y medium)> | No violations | No data available
Security:   <N violations> | No violations | No data available
```

All three lines always appear. Use "No data available" when a tool returned no data or is unavailable (pup mode for Quality/Security).

### STEP 5 — Propose Actions

**regression** → Prompt user to investigate their code changes. No write action available.

**flaky** → Load `triage-flaky-test` skill for deep investigation. Invoke it once per distinct failing test name classified as flaky, passing the test name (from `@test.name` in STEP 1 results) and the derived repository as inputs. That skill will:
- Attempt an agent-native fix using `flaky_category` + stack trace
- Propose quarantine via `update_datadog_flaky_test_states` if a quick fix isn't possible

**infra** → Before proposing a retry, assess whether the failure is transient:
- Check `@error_classification.type` and error message for signals like `timeout`, `runner unavailable`, `network error`, `quota exceeded` — transient failures where a retry is likely to help
- If the error is deterministic (build misconfiguration, missing secret, explicit test assertion failure), a retry is unlikely to help — suggest investigating the root cause
- If the failure is pre-existing on the default branch, inform the user — a retry will likely fail again; await the upstream fix instead

If transient:

**MCP mode — GitHub Actions:** use `retry_datadog_ci_job`. From the failing job event, collect:
- `@ci.provider.name` → ci_provider ("github")
- `@git.repository.id_v2` → repository_id
- `@ci.job.id` → job_id
- event `id` field → event_uuid (optional)

For `pipeline_id`: use `@ci.pipeline.id` directly if it matches `^\d+-[1-9]\d*$` (e.g. `26027867390-1`). If it is a bare numeric run ID, combine it with `@github.run_attempt` from the same event: `"{@ci.pipeline.id}-{@github.run_attempt}"`. Fallback: parse `@ci.pipeline.url` — extract `{run_id}` and `{attempt}` from `runs/{run_id}/attempts/{attempt}`.

After retry returns, confirm via `search_datadog_ci_pipeline_events` (`query: @ci.job.name:"<job>" @git.branch:<branch>`, from: now-5m) that a new run appears.

**Fallback / pup mode — GitHub Actions:** extract the run ID from `@ci.pipeline.url`:
```bash
gh run rerun <run_id> --failed
```

**GitLab / other providers** (both modes): share `@ci.pipeline.url` and direct to the provider UI.

**unknown** → Suggest checking raw job logs via the CI provider UI or `@ci.pipeline.url` from the pipeline event.

---

## Tool Reference

This appendix applies only in **pup mode**. In MCP mode, use the tool names in the workflow sections directly.

| MCP Tool | pup Command |
|---|---|
| `search_datadog_ci_pipeline_events` (ci_level: job) | `pup cicd events search --query "..." --level job --from 24h --limit 50` |
| `aggregate_datadog_ci_pipeline_events` (count, group_by branch) | `pup cicd events aggregate --query "..." --compute count --group-by "@git.branch" --from 24h` |
| `aggregate_datadog_ci_pipeline_events` (count, no group_by) | `pup cicd events aggregate --query "..." --compute count --from 24h` |
| `search_datadog_test_events` | `pup cicd tests search --query "..." --from 24h --limit 50` |
| `get_datadog_flaky_tests` | `pup cicd flaky-tests search --query "flaky_test_state:active ..."` |
| `update_datadog_flaky_test_states` | Write body to `/tmp/flaky-update.json`, then `pup test-optimization flaky-tests update --file /tmp/flaky-update.json` |
| `get_datadog_code_coverage_branch_summary` | `repo_lower=$(echo "<repo>" \| tr '[:upper:]' '[:lower:]') && pup code-coverage branch-summary --repo "$repo_lower" --branch "<branch>"` |
| `get_prs_by_head_branch` | Not available in pup — skip; report "No data available" for Quality/Security |
| `search_pr_insights` | Not available in pup — skip; report "No data available" for Quality/Security |
| `retry_datadog_ci_job` | Not available in pup — use `gh run rerun <run_id> --failed` instead |

Description

A red CI pipeline is only useful if you can tell which kind of red it is. This official Datadog skill turns that judgement into a repeatable workflow: it pulls the pipeline events for a pull request, attributes each failure as flaky, infrastructure, or a genuine regression, and proposes a specific action for each — rather than the blanket "re-run it" that wastes a cycle and teaches the team to ignore CI.

Alongside the attribution it reports the PR's code-coverage movement and its quality and security status, so the review has the full picture in one pass.

Two backends, detected automatically

The skill checks, in order, for an explicit --backend pup flag, then for the Datadog MCP server's search_datadog_ci_pipeline_events tool, then for a working pup binary. Whichever it finds, it uses consistently — and a Tool Reference appendix translates every MCP call into its pup equivalent so the same workflow runs either way. If neither backend exists it stops and says so instead of improvising.

The sharp edges it documents

Repository IDs passed to pup must be fully lowercase, because the API rejects mixed case — github.com/datadog/my-repo, never github.com/DataDog/my-repo. The repository ID and default branch are derived from git remote get-url origin when not supplied, with the protocol and trailing .git stripped. A 401 or 403 from pup means the token lapsed, and the skill surfaces pup auth refresh rather than reporting a phantom CI problem.

Fits with

It requires the dd-pup skill for the CLI itself, and hands off to triage-flaky-test when a failure needs a deeper flake investigation. Best suited to teams already sending CI Visibility data to Datadog who want an agent to do the first pass on every red build. MIT licensed.

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