dd-apm
APM - traces, services, dependencies, performance analysis.
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.
$ npx -y skills add DataDog/pup --skill dd-unblock-pr --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/dd-unblock-prContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
name: dd-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. metadata: version: "1.1.0" author: datadog-labs repository: https://github.com/datadog-labs/agent-skills tags: datadog,ci,cicd,flaky,flaky-tests,pipeline alwaysApply: "false"
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), `dd-triage-flaky-test` skill (for flaky failure deep investigation).
---
| 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. |
---
Derive repository ID and default branch from git if not provided:
# 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
**Pipeline failures (job level):**
pup cicd events search \ --query "@ci.status:error @git.branch:<branch> @git.repository.id_v2:\"<repo>\"" \ --level job \ --from 24h \ --limit 50
**Test failures:**
pup cicd tests search \ --query "@test.status:fail @git.branch:<branch> @git.repository.id_v2:\"<repo>\"" \ --from 24h \ --limit 50
Run both queries 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 search results and skip to STEP 3.
This step runs unconditionally — coverage context is valuable whether CI is red or green.
The `--repo` value must be fully lowercase (the API rejects mixed-case). Normalize before calling:
repo_lower=$(echo "<repo>" | tr '[:upper:]' '[:lower:]') pup code-coverage branch-summary \ --repo "$repo_lower" \ --branch "<branch>"
If the command returns no data or exits with an error, report "No data available" for Coverage in the PR Health section.
Note: Code quality and security violation counts are not available in pup — those lines always show "No data available".
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?
pup cicd events aggregate \ --query "@ci.status:error @ci.job.name:\"<job>\" @git.branch:<default-branch> @git.repository.id_v2:\"<repo>\"" \ --compute count \ --from 24h
**Blast radius check** — is this job failing on other branches too?
pup cicd events aggregate \ --query "@ci.status:error @ci.job.name:\"<job>\" @git.repository.id_v2:\"<repo>\"" \ --compute count \ --group-by "@git.branch" \ --from 24h
Performance fallback: if the blast radius query is slow or times out, skip it and rely on the default branch check alone.
**Priority order:** 1. If `@error_classification.domain` / `@error_classification.type` present → use as primary signal 2. If test failure AND test appears in flaky tests with `flaky_test_state:active`:
pup cicd flaky-tests search \
--query "flaky_test_state:active @test.name:\"<test-name>\" @git.repository.id_v2:\"<repo>\""→ **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** |
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: No data available Security: No data available
All three lines always appear.
**regression** → Prompt user to investigate their code changes. No write action available.
**flaky** → Load `dd-triage-flaky-test` skill for deep investigation. That skill will:
**infra** → Before proposing a retry, assess whether the failure is transient:
Every AI agent needs a loyal companion. Meet Pup — the CLI that gives your agents full access to Datadog's observability platform (because even autonomous agents need good tooling, not just tricks).
Repo: DataDog/pup
APM - traces, services, dependencies, performance analysis.
Use pup CLI for immediate Datadog operations or generate code for integration into applications
Live Debugger - inspect runtime argument/variable values in production by placing log probes on methods. Use when asked what values a function receives, what…
Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.
File GitHub issues to the right repository (pup CLI or plugin)