Review
apollographql/apollo-mcp-server
Review a GitHub pull request for a Rust codebase. An agent skill from apollographql/apollo-mcp-server.
Load when investigating a failing PR CI pipeline or checking PR health.
$ npx skills add datadog-labs/agent-skills --skill unblock-pr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install datadog-labs/agent-skills 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-labs/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dd-software-delivery/unblock-pr .claude/skills/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 "unblock-pr" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-software-delivery/unblock-pr into .claude/skills/unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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-labs/agent-skills/tree/main/dd-software-delivery/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-labs/agent-skills --skill unblock-pr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install datadog-labs/agent-skills unblock-pr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/dd-software-delivery/unblock-pr .agents/skills/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 "unblock-pr" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-software-delivery/unblock-pr into .agents/skills/unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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-labs/agent-skills --skill unblock-pr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install datadog-labs/agent-skills unblock-pr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/dd-software-delivery/unblock-pr .cursor/skills/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 "unblock-pr" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-software-delivery/unblock-pr into .cursor/skills/unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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-labs/agent-skills.git --path dd-software-delivery/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-labs/agent-skills --skill unblock-pr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install datadog-labs/agent-skills 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-labs/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/dd-software-delivery/unblock-pr .gemini/skills/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 "unblock-pr" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-software-delivery/unblock-pr into .gemini/skills/unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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-labs/agent-skills 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-labs/agent-skills --skill unblock-pr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/dd-software-delivery/unblock-pr .github/skills/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 "unblock-pr" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-software-delivery/unblock-pr into .github/skills/unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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-labs/agent-skills --skill 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-labs/agent-skills unblock-pr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/dd-software-delivery/unblock-pr .opencode/skills/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 "unblock-pr" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-software-delivery/unblock-pr into .opencode/skills/unblock-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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.
unblock-prLoad when investigating a failing PR CI pipeline or checking PR health.
Unblock PR is an agent skill from datadog-labs/agent-skills. 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.
Its SKILL.md is about 2.7k 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 Failing and flaky tests, CI/CD and Test coverage. It works with Model Context Protocol, Datadog and GitHub. The repository describes itself as: Public repository for Datadog Agent Skills. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d2411cc. 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:
gitghbrewFrom 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.
Unblock PR loads about 2.7k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 1,070 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-labs/agent-skills at commit d2411cc, republished under its MIT licence (© datadog-labs). 1,070 words, ~2,685 tokens.
.claude/skills/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), triage-flaky-test skill (for flaky failure deep investigation).
Detection — At the start of every invocation, before taking any action, determine which backend to use:
--backend pup anywhere → use pup mode immediately. Skip steps 2–4.search_datadog_ci_pipeline_events appears in your available tools.pup is executable: run pup --version via Bash. If the command exits successfully (exit code 0), pup is available."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:
github.com/datadog/my-repo, not github.com/DataDog/my-repo.pup auth refresh or pup auth login.| 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:
Tool: search_datadog_ci_pipeline_events
query: @ci.status:error @git.branch:<branch> @git.repository.id_v2:"<repo>"
ci_level: job
from: now-24hTest 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: testRun 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.
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_insightsare not available in pup. Quality and Security always show "No data available" in pup mode.
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-24hBlast 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-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 signalget_datadog_flaky_tests with flaky_test_state:active → flaky| 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: <N violations (X high, Y medium)> | No violations | No data available
Security: <N violations> | No violations | No data availableAll three lines always appear. Use "No data available" when a tool returned no data or is unavailable (pup mode for Quality/Security).
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:
flaky_category + stack traceupdate_datadog_flaky_test_states 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 — transient failures where a retry is likely to helpIf 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_idid 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:
gh run rerun <run_id> --failedGitLab / 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.
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 |
© datadog-labs, MIT. 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 dd-software-delivery/unblock-pr of datadog-labs/agent-skills.
Open the folder on GitHubat commit d2411cc
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 |
|---|---|---|---|---|---|---|
| Unblock PR this skilldatadog-labs/agent-skills | 177 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Reviewapollographql/apollo-mcp-server | 314 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Dd Unblock PRDataDog/pup | 1k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| GreptimeDB Fuzz CI Failure InvestigationGreptimeTeam/greptimedb | 6.7k | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| MAUI CI Investigatordotnet/maui | 23k | — | ~2k | Automated safety check: Pass | MIT | |
| Babysit PRZenUml/web-sequence | 150 | — | ~871 | Automated safety check: Pass | MIT |
apollographql/apollo-mcp-server
Review a GitHub pull request for a Rust codebase. An agent skill from apollographql/apollo-mcp-server.
DataDog/pup
Load when investigating a failing PR CI pipeline or checking PR health.
GreptimeTeam/greptimedb
Diagnoses a failed GreptimeDB fuzz CI job by pulling its GitHub Actions logs and fuzz artifacts, then matching the evidence to the local source code.
dotnet/maui
Adds dotnet/maui-specific context for investigating failing PR checks and broken nightly builds: pipelines, Helix logs, binlogs and merge-readiness verdicts.
ZenUml/web-sequence
Monitor and diagnose GitHub Actions checks on ZenUML web-sequence PRs, fixing code-caused CI failures when appropriate.
Azure/azure-sdk-tools
Analyze Azure SDK CI/CD pipeline failures into a structured diagnosis, and define the required output format.
datadog-labs/agent-skills
Bootstrap a reproducible LLM Observability experiment through the Python ddtrace SDK or the Node dd-trace SDK.
datadog-labs/agent-skills
Ensure the user has an authenticated Datadog account with a valid DDAPIKEY on the right region before any Datadog setup or instrumentation.
datadog-labs/agent-skills
Entry point for Datadog onboarding. An agent skill from datadog-labs/agent-skills.
datadog-labs/agent-skills
APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis, Data Streams Monitoring (DSM), queue lag, pipeline latency.
datadog-labs/agent-skills
Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code…
datadog-labs/agent-skills
Set up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (external ID, no stored credentials), attaches the permission policies Datadog publishes, and…
Works with
Categories
Load when investigating a failing PR CI pipeline or checking PR health. Unblock PR is an agent skill from datadog-labs/agent-skills. Load when investigating a failing PR CI pipeline or checking PR health.
Unblock PR fits situations like: tasks that involve Failing and flaky tests; tasks that involve CI/CD; tasks that involve Test coverage.
Run `npx skills add datadog-labs/agent-skills --skill unblock-pr -a claude-code`. Or copy the skill folder (dd-software-delivery/unblock-pr in datadog-labs/agent-skills) into .claude/skills/unblock-pr in your project. Claude Code loads it when a task matches its description.
Run `npx skills add datadog-labs/agent-skills --skill unblock-pr -a codex`. Or copy the skill folder (dd-software-delivery/unblock-pr in datadog-labs/agent-skills) into .agents/skills/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-labs/agent-skills --skill 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/unblock-pr, .gemini/skills/unblock-pr, .github/skills/unblock-pr and .opencode/skills/unblock-pr in your project.
Going by SKILL.md and its folder, Unblock PR needs the command-line tools its instructions call (git, gh and brew).
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.
Unblock PR is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k 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 Unblock PR: Review (apollographql/apollo-mcp-server, 314 stars), Dd Unblock PR (DataDog/pup, 1k stars), GreptimeDB Fuzz CI Failure Investigation (GreptimeTeam/greptimedb, 6.7k stars) and MAUI CI Investigator (dotnet/maui, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
datadog-labs (a GitHub organization) maintains it in datadog-labs/agent-skills, which has 177 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 8, 2026.
Source: datadog-labs/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.