Llmobs Testing
DataDog/dd-trace-js
A skill your agent uses when writing, modifying, or debugging tests for an LLMObs plugin in dd-trace-js.
Query metrics, manage monitors, post events, and interact with Datadog via the dogshell CLI.
$ npx skills add olasunkanmi-SE/codebuddy --skill datadog -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install olasunkanmi-SE/codebuddy datadog --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/olasunkanmi-SE/codebuddy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/datadog .claude/skills/datadog && 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 "datadog" agent skill from https://github.com/olasunkanmi-SE/codebuddy/tree/main/skills/datadog into .claude/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", 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/olasunkanmi-SE/codebuddy/tree/main/skills/datadogType 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 olasunkanmi-SE/codebuddy --skill datadog -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install olasunkanmi-SE/codebuddy datadog --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olasunkanmi-SE/codebuddy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/datadog .agents/skills/datadog && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "datadog" agent skill from https://github.com/olasunkanmi-SE/codebuddy/tree/main/skills/datadog into .agents/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", 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 olasunkanmi-SE/codebuddy --skill datadog -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install olasunkanmi-SE/codebuddy datadog --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olasunkanmi-SE/codebuddy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/datadog .cursor/skills/datadog && 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 "datadog" agent skill from https://github.com/olasunkanmi-SE/codebuddy/tree/main/skills/datadog into .cursor/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", 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/olasunkanmi-SE/codebuddy.git --path skills/datadog--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 olasunkanmi-SE/codebuddy --skill datadog -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install olasunkanmi-SE/codebuddy datadog --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olasunkanmi-SE/codebuddy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/datadog .gemini/skills/datadog && 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 "datadog" agent skill from https://github.com/olasunkanmi-SE/codebuddy/tree/main/skills/datadog into .gemini/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", 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 olasunkanmi-SE/codebuddy datadogInstalls 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 olasunkanmi-SE/codebuddy --skill datadog -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/olasunkanmi-SE/codebuddy.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/datadog .github/skills/datadog && 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 "datadog" agent skill from https://github.com/olasunkanmi-SE/codebuddy/tree/main/skills/datadog into .github/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", 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 olasunkanmi-SE/codebuddy --skill datadog -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install olasunkanmi-SE/codebuddy datadog --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olasunkanmi-SE/codebuddy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/datadog .opencode/skills/datadog && 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 "datadog" agent skill from https://github.com/olasunkanmi-SE/codebuddy/tree/main/skills/datadog into .opencode/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", 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.
datadogQuery metrics, manage monitors, post events, and interact with Datadog via the dogshell CLI.
Datadog is an agent skill from olasunkanmi-SE/codebuddy. Query metrics, manage monitors, post events, and interact with Datadog via the dogshell CLI.
Its SKILL.md is about 1.4k 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 AI & LLM Engineering. It works with Datadog. The repository describes itself as: An Autonomous AI Software Engineer. The licence is MIT.
Read from SKILL.md and the folder at commit a9b8cd0. 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:
npmFrom 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:
api.datadoghq.comapi.datadoghq.euFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DATADOG_API_KEYDATADOG_APP_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Datadog loads about 1.4k tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 115 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 olasunkanmi-SE/codebuddy at commit a9b8cd0, republished under its MIT licence (© olasunkanmi-SE). 115 words, ~1,450 tokens.
.claude/skills/datadog/SKILL.md (or your agent's skills folder).Use dog to interact with Datadog for metrics, monitors, events, dashboards, and more.
Before using, set your Datadog API and Application keys:
export DATADOG_API_KEY="your_api_key"
export DATADOG_APP_KEY="your_app_key"Or create ~/.dogrc:
[Connection]
apikey = your_api_key
appkey = your_app_keySecure the config file:
chmod 600 ~/.dogrc# Query metric data (last hour)
dog metric query --query "avg:system.cpu.user{*}" --start $(date -v-1H +%s) --end $(date +%s)
# Query with specific host filter
dog metric query --query "avg:system.memory.used{host:myserver}" --start $(date -v-1H +%s) --end $(date +%s)
# Query multiple metrics
dog metric query --query "avg:system.cpu.user{*},avg:system.cpu.system{*}" --start $(date -v-1H +%s) --end $(date +%s)# Post a single metric
dog metric post my.custom.metric 42 --host myserver --tags env:prod,service:api
# Post metric with timestamp
dog metric post my.custom.metric 42 --timestamp $(date +%s)# Post an event
dog event post "Deployment Complete" "Deployed version 1.2.3 to production" --tags env:prod,service:api
# Post event with priority
dog event post "Alert" "High memory usage detected" --priority normal --alert_type warning
# Query events (last 24 hours)
dog event query --start $(date -v-1d +%s) --end $(date +%s)
# Query events with tags
dog event query --start $(date -v-1d +%s) --end $(date +%s) --tags env:prod# List all monitors
dog monitor list
# Get specific monitor
dog monitor show <monitor_id>
# Mute a monitor
dog monitor mute <monitor_id>
# Unmute a monitor
dog monitor unmute <monitor_id>
# Mute all monitors
dog monitor mute_all
# Create a metric monitor
dog monitor create "metric alert" "My Monitor" "avg(last_5m):avg:system.cpu.user{*} > 80" --message "CPU usage is high @slack-alerts"# Post a service check
dog service_check post my.service.check 0 --host myserver --tags env:prod
# Status: 0=OK, 1=WARNING, 2=CRITICAL, 3=UNKNOWN
# Post check with message
dog service_check post my.health.check 0 --message "All systems operational"# List all dashboards
dog dashboard list
# Get dashboard details
dog dashboard show <dashboard_id># Search hosts
dog host search --query "host:web*"
# Mute a host
dog host mute <hostname>
# Unmute a host
dog host unmute <hostname># Get tags for a host
dog tag show <hostname>
# Add tags to a host
dog tag add <hostname> env:prod role:web
# Update tags for a host (replaces existing)
dog tag update <hostname> env:staging role:api
# Remove all tags from a host
dog tag detach <hostname># Schedule a downtime
dog downtime schedule --scope "host:myserver" --start $(date +%s) --end $(date -v+1H +%s) --message "Maintenance window"
# List active downtimes
dog downtime list
# Cancel a downtime
dog downtime cancel <downtime_id>| Variable | Description |
|---|---|
DATADOG_API_KEY | Your Datadog API key |
DATADOG_APP_KEY | Your Datadog Application key |
DATADOG_HOST | API endpoint (default: https://api.datadoghq.com) |
For EU region, set:
export DATADOG_HOST="https://api.datadoghq.eu"~/.dogrc with chmod 600# CPU usage
dog metric query --query "avg:system.cpu.user{*} by {host}"
# Memory usage
dog metric query --query "avg:system.mem.used{*}/avg:system.mem.total{*}*100"
# Disk usage
dog metric query --query "avg:system.disk.in_use{*} by {device}"# Request rate
dog metric query --query "sum:trace.http.request.hits{service:my-app}.as_rate()"
# Error rate
dog metric query --query "sum:trace.http.request.errors{service:my-app}/sum:trace.http.request.hits{service:my-app}*100"
# Latency (p95)
dog metric query --query "p95:trace.http.request.duration{service:my-app}"For CI/CD operations, use datadog-ci:
# Install
npm install -g @datadog/datadog-ci
# Upload sourcemaps
datadog-ci sourcemaps upload ./dist --service my-app --release-version 1.0.0
# Upload test results
datadog-ci junit upload --service my-app ./test-results/*.xml
# Trigger Synthetic tests
datadog-ci synthetics run-tests --public-id abc-123© olasunkanmi-SE, 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 skills/datadog of olasunkanmi-SE/codebuddy.
Open the folder on GitHubat commit a9b8cd0
Datadog 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 |
|---|---|---|---|---|---|---|
| Datadog this skillolasunkanmi-SE/codebuddy | 141 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Llmobs TestingDataDog/dd-trace-js | 837 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Weekly Production Reviewlangfuse/langfuse | 36k | — | ~4.1k | Automated safety check: Pass | Custom licence | |
| Dd Product Recommenderdatadog-labs/agent-skills | 177 | — | ~12k | Automated safety check: Pass | MIT | |
| Llmobs IntegrationDataDog/dd-trace-js | 837 | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Datadog Query Recipeslangfuse/langfuse | 36k | — | ~824 | Automated safety check: Pass | Custom licence |
DataDog/dd-trace-js
A skill your agent uses when writing, modifying, or debugging tests for an LLMObs plugin in dd-trace-js.
langfuse/langfuse
Prepare Langfuse weekly production reviews covering failures, fixes, open issues, and tracking gaps.
datadog-labs/agent-skills
Recommends the right Datadog products for a codebase and/or a stated goal — grounded in a tech-stack→product map and a use-case→product map built from Datadog product capabilities and common…
DataDog/dd-trace-js
A skill your agent uses when adding, debugging, or modifying LLMObs plugins for an LLM library in dd-trace-js.
langfuse/langfuse
Research Langfuse production telemetry with reusable Datadog queries.
langfuse/langfuse
Establish root cause by combining Datadog telemetry with the Langfuse repo.
olasunkanmi-SE/codebuddy
Send Telegram messages, files, and interact with Telegram bots via the telegram-send CLI tool.
olasunkanmi-SE/codebuddy
Interact with Elasticsearch clusters via the API. An agent skill from olasunkanmi-SE/codebuddy.
olasunkanmi-SE/codebuddy
Read, send, and manage Gmail emails via the gmail-cli tool. An agent skill from olasunkanmi-SE/codebuddy.
olasunkanmi-SE/codebuddy
Manage GitHub repositories, issues, and pull requests via the gh CLI.
olasunkanmi-SE/codebuddy
Manage GitLab issues and merge requests via the glab CLI. An agent skill from olasunkanmi-SE/codebuddy.
olasunkanmi-SE/codebuddy
Manage MySQL databases via the mysql CLI. An agent skill from olasunkanmi-SE/codebuddy.
Works with
Categories
Query metrics, manage monitors, post events, and interact with Datadog via the dogshell CLI. Datadog is an agent skill from olasunkanmi-SE/codebuddy. Query metrics, manage monitors, post events, and interact with Datadog via the dogshell CLI.
Datadog fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add olasunkanmi-SE/codebuddy --skill datadog -a claude-code`. Or copy the skill folder (skills/datadog in olasunkanmi-SE/codebuddy) into .claude/skills/datadog in your project. Claude Code loads it when a task matches its description.
Run `npx skills add olasunkanmi-SE/codebuddy --skill datadog -a codex`. Or copy the skill folder (skills/datadog in olasunkanmi-SE/codebuddy) into .agents/skills/datadog 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 olasunkanmi-SE/codebuddy --skill datadog -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datadog, .gemini/skills/datadog, .github/skills/datadog and .opencode/skills/datadog in your project.
Going by SKILL.md and its folder, Datadog needs the command-line tools its instructions call (npm) and credentials named DATADOG_API_KEY and DATADOG_APP_KEY. Our summary lists: Node.js; A credential in DATADOG_API_KEY; A credential in DATADOG_APP_KEY.
SKILL.md names 2 domains. In commands or code: api.datadoghq.com and api.datadoghq.eu; the agent is likely to contact these 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.
Datadog is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.8k 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 Datadog: Llmobs Testing (DataDog/dd-trace-js, 837 stars), Weekly Production Review (langfuse/langfuse, 36k stars), Dd Product Recommender (datadog-labs/agent-skills, 177 stars) and Llmobs Integration (DataDog/dd-trace-js, 837 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
olasunkanmi-SE (a GitHub user) maintains it in olasunkanmi-SE/codebuddy, which has 141 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on August 28, 2026.
Source: olasunkanmi-SE/codebuddy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.