Unblock PR
datadog-labs/agent-skills
Load when investigating a failing PR CI pipeline or checking PR health.
Load when investigating a failing PR CI pipeline or checking PR health.
$ npx skills add DataDog/pup --skill dd-unblock-pr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/pup dd-unblock-pr --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dd-unblock-pr .claude/skills/dd-unblock-pr && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dd-unblock-pr" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-unblock-pr into .claude/skills/dd-unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-unblock-pr", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/DataDog/pup/tree/main/skills/dd-unblock-prType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add DataDog/pup --skill dd-unblock-pr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/pup dd-unblock-pr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dd-unblock-pr .agents/skills/dd-unblock-pr && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dd-unblock-pr" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-unblock-pr into .agents/skills/dd-unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-unblock-pr", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DataDog/pup --skill dd-unblock-pr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/pup dd-unblock-pr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dd-unblock-pr .cursor/skills/dd-unblock-pr && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dd-unblock-pr" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-unblock-pr into .cursor/skills/dd-unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-unblock-pr", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/DataDog/pup.git --path skills/dd-unblock-pr--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add DataDog/pup --skill dd-unblock-pr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/pup dd-unblock-pr --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dd-unblock-pr .gemini/skills/dd-unblock-pr && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dd-unblock-pr" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-unblock-pr into .gemini/skills/dd-unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-unblock-pr", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install DataDog/pup dd-unblock-prInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add DataDog/pup --skill dd-unblock-pr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dd-unblock-pr .github/skills/dd-unblock-pr && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dd-unblock-pr" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-unblock-pr into .github/skills/dd-unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-unblock-pr", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DataDog/pup --skill dd-unblock-pr -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DataDog/pup dd-unblock-pr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dd-unblock-pr .opencode/skills/dd-unblock-pr && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dd-unblock-pr" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-unblock-pr into .opencode/skills/dd-unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-unblock-pr", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dd-unblock-prLoad when investigating a failing PR CI pipeline or checking PR health.
Dd Unblock PR is an agent skill from DataDog/pup, published by the product's own GitHub organization. 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.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Test coverage, Failing and flaky tests and CI/CD. It works with Datadog. The repository describes itself as: Give your AI agent a Pup — a CLI companion with 200+ commands across 33+ Datadog products. The licence is Apache-2.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c075375. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitghFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dd Unblock PR loads about 1.7k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 587 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from DataDog/pup at commit c075375, republished under its Apache-2.0 licence (© DataDog). 587 words, ~1,667 tokens.
.claude/skills/dd-unblock-pr/SKILL.md (or your agent's skills folder).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 unsetPipeline failures (job level):
pup cicd events search \
--query "@ci.status:error @git.branch:<branch> @git.repository.id_v2:\"<repo>\"" \
--level job \
--from 24h \
--limit 50Test failures:
pup cicd tests search \
--query "@test.status:fail @git.branch:<branch> @git.repository.id_v2:\"<repo>\"" \
--from 24h \
--limit 50Run 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 24hBlast 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 24hPerformance fallback: if the blast radius query is slow or times out, skip it and rely on the default branch check alone.
Priority order:
@error_classification.domain / @error_classification.type present → use as primary signalflaky_test_state:active:pup cicd flaky-tests search \
--query "flaky_test_state:active @test.name:\"<test-name>\" @git.repository.id_v2:\"<repo>\""| 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 availableAll 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:
flaky_category + stack tracepup test-optimization flaky-tests update if a quick fix isn't possibleinfra → Before proposing a retry, assess whether the failure is transient:
@error_classification.type and error message for signals like timeout, runner unavailable, network error, quota exceeded — these indicate transient failures where a retry is likely to helpIf transient and GitHub Actions: extract the run ID from @ci.pipeline.url (e.g. https://github.com/org/repo/actions/runs/<run_id>):
gh run rerun <run_id> --failedFor other providers, share @ci.pipeline.url and direct to the provider UI for retry.
unknown → Suggest checking raw job logs via the CI provider UI or @ci.pipeline.url from the pipeline event.
© DataDog, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/dd-unblock-pr of DataDog/pup.
Open the folder on GitHubat commit c075375
Dd Unblock PR next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dd Unblock PR this skillDataDog/pup | 1k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Unblock PRdatadog-labs/agent-skills | 177 | — | ~2.7k | Automated safety check: Pass | MIT | |
| QA Metricspetrkindlmann/qa-skills | 168 | — | ~5.3k | Automated safety check: Pass | MIT | |
| Matlab Run Testsmatlab/matlab-agentic-toolkit | 1.1k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Test Automation Strategyproffesor-for-testing/agentic-qe | 495 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Qcsd Cicd Swarmproffesor-for-testing/agentic-qe | 495 | — | ~2.3k | Automated safety check: Pass | MIT |
datadog-labs/agent-skills
Load when investigating a failing PR CI pipeline or checking PR health.
petrkindlmann/qa-skills
Define, track, and act on QA metrics: test coverage percentage, flakiness rate, defect escape rate, MTTR, test execution time trends, automation ROI, quality gates, and SLAs for test suites.
matlab/matlab-agentic-toolkit
Run MATLAB test suites and analyze results, including test filtering, parallel execution, result diagnostics, code coverage collection, gap analysis, and CI/CD with buildtool.
proffesor-for-testing/agentic-qe
Design and implement effective test automation with proper pyramid, patterns, and CI/CD integration.
proffesor-for-testing/agentic-qe
A skill your agent uses when enforcing CI/CD quality gates before release, running regression analysis, detecting flaky tests, or assessing deployment readiness in the QCSD Verification phase.
proffesor-for-testing/agentic-qe
Design and implement effective test automation with proper pyramid, patterns, and CI/CD integration.
DataDog/pup
Find, filter, count, and connect software, teams, engineering work and delivery, infrastructure, and operational or security records through Pup's read-only Datadog entity graph.
DataDog/pup
Live Debugger - inspect runtime argument/variable values in production by placing log probes on methods.
DataDog/pup
Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.
DataDog/pup
Datadog API CLI with 49 command groups, 300+ subcommands. An agent skill from DataDog/pup.
DataDog/pup
Load when investigating a specific flaky test. An agent skill from DataDog/pup.
DataDog/pup
APM - traces, services, dependencies, performance analysis. An agent skill from DataDog/pup.
Works with
Categories
Load when investigating a failing PR CI pipeline or checking PR health. Dd Unblock PR is an agent skill from DataDog/pup, published by the product's own GitHub organization. Load when investigating a failing PR CI pipeline or checking PR health.
Dd Unblock PR fits situations like: tasks that involve Test coverage; tasks that involve Failing and flaky tests; tasks that involve CI/CD.
Run `npx skills add DataDog/pup --skill dd-unblock-pr -a claude-code`. Or copy the skill folder (skills/dd-unblock-pr in DataDog/pup) into .claude/skills/dd-unblock-pr in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DataDog/pup --skill dd-unblock-pr -a codex`. Or copy the skill folder (skills/dd-unblock-pr in DataDog/pup) into .agents/skills/dd-unblock-pr in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DataDog/pup --skill dd-unblock-pr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dd-unblock-pr, .gemini/skills/dd-unblock-pr, .github/skills/dd-unblock-pr and .opencode/skills/dd-unblock-pr in your project.
Going by SKILL.md and its folder, Dd Unblock PR needs the command-line tools its instructions call (git and gh).
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Dd Unblock PR is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dd Unblock PR: Unblock PR (datadog-labs/agent-skills, 177 stars), QA Metrics (petrkindlmann/qa-skills, 168 stars), Matlab Run Tests (matlab/matlab-agentic-toolkit, 1.1k stars) and Test Automation Strategy (proffesor-for-testing/agentic-qe, 495 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DataDog (a GitHub organization, an official publisher) maintains it in DataDog/pup, which has 1,028 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 8, 2026.
Source: DataDog/pup on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.