Bump Libdatadog
DataDog/dd-trace-dotnet
Update/bump the libdatadog native library version in dd-trace-dotnet.
Generate a live Single Step Instrumentation (SSI) onboarding confirmation report for Linux hosts — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI.
$ npx skills add datadog-labs/agent-skills --skill onboarding-summary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --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-apm/linux-ssi/onboarding-summary .claude/skills/onboarding-summary && 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 "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/linux-ssi/onboarding-summary into .claude/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", 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-apm/linux-ssi/onboarding-summaryType 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 onboarding-summary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --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-apm/linux-ssi/onboarding-summary .agents/skills/onboarding-summary && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/linux-ssi/onboarding-summary into .agents/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", 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 onboarding-summary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --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-apm/linux-ssi/onboarding-summary .cursor/skills/onboarding-summary && 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 "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/linux-ssi/onboarding-summary into .cursor/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", 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-apm/linux-ssi/onboarding-summary--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 onboarding-summary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --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-apm/linux-ssi/onboarding-summary .gemini/skills/onboarding-summary && 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 "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/linux-ssi/onboarding-summary into .gemini/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", 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 onboarding-summaryInstalls 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 onboarding-summary -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-apm/linux-ssi/onboarding-summary .github/skills/onboarding-summary && 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 "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/linux-ssi/onboarding-summary into .github/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", 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 onboarding-summary -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 onboarding-summary --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-apm/linux-ssi/onboarding-summary .opencode/skills/onboarding-summary && 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 "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/linux-ssi/onboarding-summary into .opencode/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", 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.
onboarding-summaryGenerate a live Single Step Instrumentation (SSI) onboarding confirmation report for Linux hosts — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI.
Onboarding Summary is an agent skill from datadog-labs/agent-skills. Generate a live Single Step Instrumentation (SSI) onboarding confirmation report for Linux hosts — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI. Only use after agent-install and enable-ssi have both completed.
Its SKILL.md is about 1.2k 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 DevOps & Cloud, covering Monitoring and alerting. It works with Linux and Datadog. The repository describes itself as: Public repository for Datadog Agent Skills. The licence is MIT.
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:
sshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SSH_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Onboarding Summary loads about 1.2k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 351 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 noted patterns worth knowing about, such as sudo or a known installer.
E` | Hostname as Datadog sees it — from `sudo datadog-agent status` |sudo datadog-agent status 2>&1 | grep -E "Agent \(v|Status:|API Keys status"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). 351 words, ~1,249 tokens.
.claude/skills/onboarding-summary/SKILL.md (or your agent's skills folder).Invoke this skill when:
verify-ssi have passedtroubleshoot-ssi have been resolvedDo NOT invoke this skill if any verification or troubleshooting check is still failing — resolve those first.
| Variable | How to resolve |
|---|---|
HOSTNAME | hostname -f on the target host |
DD_HOSTNAME | Hostname as Datadog sees it — from sudo datadog-agent status |
SERVICE_NAME | DD_SERVICE value from /proc/<PID>/environ or the systemd unit |
ENV | DD_ENV value from /proc/<PID>/environ or the systemd unit |
DD_SITE | grep "^site:" /etc/datadog-agent/datadog.yaml |
SSH_KEY | Path to SSH private key |
SSH_USER | SSH username |
SSH_HOST | Hostname or IP of the target host |
pup auth status --site <DD_SITE>If valid token — proceed.
ERROR: Not authenticated:
pup auth login --site <DD_SITE>This opens a browser tab for OAuth. Complete the login there — Claude will continue once the command exits.
Run all of the following. Each populates a row in the final report.
# Agent version and status
sudo datadog-agent status 2>&1 | grep -E "Agent \(v|Status:|API Keys status"
# Inject library armed in ld.so.preload
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "cat /etc/ld.so.preload"
# Process confirmed injected — launcher + language library in /proc/<PID>/maps
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"pgrep -a -f '<SERVICE_NAME>' | head -3"Use the PID from above:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo cat /proc/<PID>/maps | grep -E 'launcher|apm-library|datadog'"
# UST vars in process environment
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo cat /proc/<PID>/environ | tr '\0' '\n' | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION'"
# Agent APM receiver — trace counts
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | grep -A 10 'Receiver (previous minute)'"
# Service visible and traced in APM backend
DD_SITE=<DD_SITE> pup apm services list --env <ENV> --from 1h
# Traces arriving in the last hour
DD_SITE=<DD_SITE> pup traces search --query "service:<SERVICE_NAME>" --from 1h --limit 5Only if DSM was enabled via enable-dsm:
# DSM pipeline data for the service
DD_SITE=<DD_SITE> pup metrics query \
--query "avg:data_streams.latency{service:<SERVICE_NAME>,env:<ENV>} by {pathway_type}" \
--from 15m --to nowFill in every value from live command output. Do not leave any placeholder unfilled. If a value cannot be confirmed, mark that row as failed and link to troubleshoot-ssi.
APM onboarding complete
| Check | Detail | Status |
|---|---|---|
| Datadog Agent | v<VERSION> running on <HOSTNAME>, API key valid | OK |
| SSI armed | /etc/ld.so.preload contains launcher path | OK |
| Process injected | launcher + language library in /proc/<PID>/maps for <SERVICE_NAME> | OK |
| Unified Service Tags | DD_SERVICE=<SERVICE_NAME> DD_ENV=<ENV> DD_VERSION=<VERSION> | OK |
| Agent receiving traces | <N> trace(s)/min in APM receiver | OK |
| APM service visible | <SERVICE_NAME> in env <ENV> | OK |
| Traces arriving | <N> trace(s) found in the last hour | OK |
| Data Streams (only if enabled) | data_streams.latency series for <SERVICE_NAME>, or "pending first message" | OK |
Your service in Datadog — click to open:
Construct each URL by substituting real values. Do not print placeholder URLs.
| View | URL |
|---|---|
| Service overview | https://app.<DD_SITE>/apm/services/<SERVICE_NAME>?env=<ENV> |
| Traces explorer | https://app.<DD_SITE>/apm/traces?query=service:<SERVICE_NAME>%20env:<ENV> |
| Service map | https://app.<DD_SITE>/apm/map?env=<ENV>&service=<SERVICE_NAME> |
| Infrastructure host | https://app.<DD_SITE>/infrastructure?q=host:<HOSTNAME> |
| Agent fleet | https://app.<DD_SITE>/fleet-automation |
| Data Streams (only if enabled) | https://app.<DD_SITE>/data-streams |
© 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-apm/linux-ssi/onboarding-summary of datadog-labs/agent-skills.
Open the folder on GitHubat commit d2411cc
Onboarding Summary 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 |
|---|---|---|---|---|---|---|
| Onboarding Summary this skilldatadog-labs/agent-skills | 177 | — | ~1.2k | Automated safety check: Notes | MIT | |
| Bump LibdatadogDataDog/dd-trace-dotnet | 572 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Apm IntegrationsDataDog/dd-trace-js | 837 | — | ~3k | Automated safety check: Pass | Custom licence | |
| Apm IntegrationsDataDog/dd-trace-java | 736 | — | ~3.7k | Automated safety check: Notes | Apache-2.0 | |
| Azure FunctionsDataDog/dd-trace-dotnet | 572 | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Tool ConnectorZhixiangLuo/10xProductivity | 479 | — | ~925 | Automated safety check: Pass | MIT |
DataDog/dd-trace-dotnet
Update/bump the libdatadog native library version in dd-trace-dotnet.
DataDog/dd-trace-js
A skill your agent uses when adding, debugging, fixing, or modifying instrumentation and plugins for third-party libraries in dd-trace-js.
DataDog/dd-trace-java
Write a new library instrumentation end-to-end. An agent skill from DataDog/dd-trace-java.
DataDog/dd-trace-dotnet
Dev/test workflow for tracer engineers working on the Datadog .NET tracer — build a local Datadog.AzureFunctions NuGet package, deploy it to a test Azure Function App, trigger it, and analyze…
ZhixiangLuo/10xProductivity
Connect any tool you use at work to your agent — including internal company tools, custom-built systems, deployment portals, incident trackers, internal knowledge bases, HR systems, and commercial…
redis/agent-skills
Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO…
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…
Categories
Generate a live Single Step Instrumentation (SSI) onboarding confirmation report for Linux hosts — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI. Onboarding Summary is an agent skill from datadog-labs/agent-skills. Generate a live Single Step Instrumentation (SSI) onboarding confirmation report for Linux hosts — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI.
Onboarding Summary fits situations like: tasks that involve Monitoring and alerting.
Run `npx skills add datadog-labs/agent-skills --skill onboarding-summary -a claude-code`. Or copy the skill folder (dd-apm/linux-ssi/onboarding-summary in datadog-labs/agent-skills) into .claude/skills/onboarding-summary in your project. Claude Code loads it when a task matches its description.
Run `npx skills add datadog-labs/agent-skills --skill onboarding-summary -a codex`. Or copy the skill folder (dd-apm/linux-ssi/onboarding-summary in datadog-labs/agent-skills) into .agents/skills/onboarding-summary 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 onboarding-summary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboarding-summary, .gemini/skills/onboarding-summary, .github/skills/onboarding-summary and .opencode/skills/onboarding-summary in your project.
Going by SKILL.md and its folder, Onboarding Summary needs the command-line tools its instructions call (ssh) and credentials named SSH_KEY. Our summary lists: A credential in SSH_KEY.
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Onboarding Summary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 5k 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 Onboarding Summary: Bump Libdatadog (DataDog/dd-trace-dotnet, 572 stars), Apm Integrations (DataDog/dd-trace-js, 837 stars), Apm Integrations (DataDog/dd-trace-java, 736 stars) and Azure Functions (DataDog/dd-trace-dotnet, 572 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.