Agent skill

Dd Account Setup

by datadog-labs in 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.

MITAuto-check: notesBackend & APIs

Install Dd Account Setup

skills CLI
$ npx skills add datadog-labs/agent-skills --skill dd-account-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install datadog-labs/agent-skills dd-account-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dd-account-setup .claude/skills/dd-account-setup && rm -rf skills-src

Use ~/.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/

Facts

Skill name
dd-account-setup
GitHub stars
177
Token cost
~4.5k tokens
SKILL.md length
1,602 words
Files
6 (incl. references)
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Ensure the user has an authenticated Datadog account with a valid DDAPIKEY on the right region before any Datadog setup or instrumentation.

  • Works in 6 steps: Preflight (readiness board) → Detect existing credentials → Determine region / site → …
  • Tasks that involve OAuth and OpenID Connect
  • SKILL.md covers The flow at a glance, Display & wording conventions…, Step 0 — Preflight (readiness… and Step H — Headless /…, plus 6 more sections
  • Calls curl and python; needs DD_API_KEY and DD_APP_KEY

What it does

Dd Account Setup is an agent skill from 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. Detects existing DDAPIKEY / DDAPPKEY / DDSITE, validates them against the Datadog API, and fixes the common wrong-region 403. If no usable key exists, signs the user in (OAuth) or creates a new account, then obtains and validates a key. Use this whenever a user needs a Datadog account or API key, hits a 403 / wrong-region error, or is about to run any Datadog -setup or…

Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/authenticate.md`, `references/conventions.md` and `references/get-api-key.md`).

It sits in Backend & APIs, covering OAuth and OpenID Connect. It works with Datadog. The repository describes itself as: Public repository for Datadog Agent Skills. The licence is MIT.

When your agent uses it

  • Tasks that involve OAuth and OpenID Connect

Example prompts

  • “/dd-account-setup”

Requirements

  • Python 3
  • A credential in DD_API_KEY
  • A credential in DD_APP_KEY

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Preflight (readiness board)
  2. Detect existing credentials
  3. Determine region / site
  4. Authenticate
  5. Turn the OAuth session into an API key
  6. Confirm and hand off

What it can do on your machine

Read from SKILL.md and the folder at commit d2411cc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DD_API_KEY
    • DD_APP_KEY
    • DD_SIGNUP_PASSWORD

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dd Account Setup loads about 4.5k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 1,602 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~140
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~15k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:10
    with a **generated** password saved to `.env`), then turn that session into an API key. Everything runs as small **inli
  • NoteMentions a .env fileSKILL.md:33
    key, app-key→create → write straight to .env; else guide to UI key page)
  • NoteMentions a .env fileSKILL.md:35
    Step 5  Load creds from .env, validate, hand off
  • NoteMentions a .env fileSKILL.md:63
    # Load DD_* with precedence: shell env > .env.local > .env. A real env var is never overwritten; surrounding quotes are
  • NoteMentions a .env fileSKILL.md:64
    for f in .env.local .env; do [ -f "$f" ] || continue; for k in DD_SITE DD_API_KEY DD_APP_KEY; do eval "[ -n \"\${$k:-}\"
  • NoteMentions a .env fileSKILL.md:66
    ser once) → get an API key → write it to .env → validate. ~2 min, one browser approval."
  • NoteMentions a .env fileSKILL.md:95
    # Load DD_* (env > .env.local > .env), same precedence as Step 1 — CI keys often live in .env, not exported.
  • NoteMentions a .env fileSKILL.md:96
    for f in .env.local .env; do [ -f "$f" ] || continue; for k in DD_SITE DD_API_KEY DD_APP_KEY; do eval "[ -n \"\${$k:-}\"
  • NoteMentions a .env fileSKILL.md:112
    d the environment **and** the project's `.env` / `.env.local` files. Do not read the values back to the user in full; ma
  • NoteMentions a .env fileSKILL.md:115
    # Load DD_* with precedence: shell env > .env.local > .env (real env var wins; quotes stripped). *_SRC = file it came fr

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.

SKILL.md

The full file from datadog-labs/agent-skills at commit d2411cc, republished under its MIT licence (© datadog-labs). 1,602 words, ~4,472 tokens.

Download SKILL.mdSave it as .claude/skills/dd-account-setup/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
dd-account-setup
description
Ensure the user has an authenticated Datadog account with a valid DD_API_KEY on the right region before any Datadog setup or instrumentation. Detects existing DD_API_KEY / DD_APP_KEY / DD_SITE, validates them against the Datadog API, and fixes the common wrong-region 403. If no usable key exists, signs the user in (OAuth) or creates a new account, then obtains and validates a key. Use this whenever a user needs a Datadog account or API key, hits a 403 / wrong-region error, or is about to run any Datadog *-setup or instrumentation skill.

Create / connect a Datadog account

This skill gets the user to a known-good state: a valid API key + application key, on the right region, validated against the Datadog API. It is the "step 0" that setup/instrumentation skills depend on — run it first, then hand off.

It is a standalone guided flow: detect what already exists, and when nothing usable is found, sign in with OAuth (browser, PKCE + state) or create a new account (in-terminal, with a generated password saved to .env), then turn that session into an API key. Everything runs as small inline bash + curl commands (OAuth also uses openssl) — no bundled scripts, no node; cross-platform (macOS, Linux, Windows via WSL/Git Bash).

This SKILL.md is the spine — it carries the short steps inline and routes to references/ for the heavy per-step machinery. Read a reference only when you reach the step that names it.

The flow at a glance

headless requested?  ──yes──▶  Step H: env keys only (OAuth needs a browser), validate, done
   │no (default — interactive)
   ▼
Step 1  Detect existing credentials (env)
   │
   ▼
Step 2  Determine region / site  (DD_SITE → validate; else ask → user picks, default US1)
   │
   ▼
Step 3  Authenticate  — ask first (even if env keys were detected)   → references/authenticate.md
   │        └─ ASK: how to connect? ↴
   │            ├─ A. Use the detected env key (only if one exists) → validate → Step 5
   │            ├─ B. Sign in (I have an account) → OAuth (browser, PKCE + state) ──▶ Bearer token
   │            └─ C. Create a new account → Path C: auto in-terminal signup, generated password ──▶ then OAuth
   ▼
Step 4  Turn the OAuth session into an API key   → references/get-api-key.md
   │        (identity + region via /current_user; OAuth→retrieve most-recent key, app-key→create → write straight to .env; else guide to UI key page)
   ▼
Step 5  Load creds from .env, validate, hand off

Golden rule: never guess or fabricate an API key, app key, token, or site. Read what's in the environment, validate it, and if it isn't there, authenticate — do not proceed on assumptions.

Display & wording conventions — read once before Step 1

Every step obeys the same rules for how it talks to the user and renders progress: the clean-status-line presentation contract, asking with the host's native selector (never letter-entry), and the live progress checklist with its marker discipline. These live in references/conventions.md — read it before Step 1 and apply it throughout. Each step below ends with a ↳ Checklist: cue telling you what to flip.


Step 0 — Preflight (readiness board)

Run this once, first, so the user sees the whole path before anything happens — which tools are present, what's already detected, and what the flow will do (including that it opens the browser once). It writes nothing and reveals no secret. Every invocation runs the full flow from Step 1 — there is no resume/skip-ahead; a prior run is not reused.

bash
DDLOG="${TMPDIR:-/tmp}/dd-onboard-$(id -u).log"; : >"$DDLOG"   # fresh log for this run
mark(){ command -v "$1" >/dev/null 2>&1 && echo "✓" || echo "$2"; }
# python3 gates the auto browser-callback; fall back to python only if it's a real py3.
have_py3(){ command -v python3 >/dev/null 2>&1 && return 0; command -v python >/dev/null 2>&1 && python -c 'import sys;exit(0 if sys.version_info[0]==3 else 1)' 2>/dev/null; }
py3msg(){ have_py3 && echo '✓ (auto browser-callback)' || echo '⊘ (will paste the redirect URL)'; }
echo   "Datadog account setup — preflight"
echo   "  deps (required):  bash ✓   curl $(mark curl ✗)   openssl $(mark openssl ✗)"
echo   "  deps (optional):  python3 $(py3msg)   browser-open $( { command -v open >/dev/null 2>&1 || command -v xdg-open >/dev/null 2>&1; } && echo ✓ || echo '⊘ (open URL manually)')"
# Canonical DD_* loader — this same block is repeated verbatim in later steps because each ```bash runs a fresh shell (not drift).
# Load DD_* with precedence: shell env > .env.local > .env. A real env var is never overwritten; surrounding quotes are stripped. *_SRC records where each came from (unset ⇒ from the shell env).
for f in .env.local .env; do [ -f "$f" ] || continue; for k in DD_SITE DD_API_KEY DD_APP_KEY; do eval "[ -n \"\${$k:-}\" ]" && continue; v=$(grep -E "^$k=" "$f" | head -1 | cut -d= -f2- | sed 's/^["'\'']//;s/["'\'']$//'); [ -n "$v" ] && { export "$k=$v"; eval "${k}_SRC=$f"; }; done; done
echo   "  detected creds:   DD_SITE=${DD_SITE:-<unset>}${DD_SITE_SRC:+ [$DD_SITE_SRC]}   DD_API_KEY=$([ -n "$DD_API_KEY" ] && echo "set …${DD_API_KEY: -4}${DD_API_KEY_SRC:+ [$DD_API_KEY_SRC]}" || echo '<unset>')   DD_APP_KEY=$([ -n "$DD_APP_KEY" ] && echo "set${DD_APP_KEY_SRC:+ [$DD_APP_KEY_SRC]}" || echo '<unset>')"
echo   "  what happens:     confirm region → authenticate (opens your browser once) → get an API key → write it to .env → validate. ~2 min, one browser approval."
[ "$(mark curl ✗)" = ✗ ] || [ "$(mark openssl ✗)" = ✗ ] && echo "  ✗ missing a required dep above — install it before continuing."

Read the board to the user as-is (it's already clean). If a required dep is missing, stop and say so. Then tick the checklist's step 1 and move on — always continue into Step 1; never skip ahead to a later step.

↳ Checklist: post the board, then the checklist; mark 1. Detect credentials ◔.


Step H — Headless / non-interactive (no browser, no prompts)

Decide this first, because the browser + signup paths are impossible without a human. Infer headless from the skill's invocation, not from the environment — the trigger is the user's request itself: they explicitly ask to run without a browser or without interactive prompts (e.g. "set up Datadog non-interactively", "I'm in CI, no browser").

Do not infer headless merely from a missing TTY — an ordinary terminal run always gets the interactive flow. Only an explicit request switches it off.

When you've inferred a headless request, run the block below — and only then. There's no browser for OAuth and no human to answer the signup prompts, so the one way to a valid state is with keys already provided. Require DD_API_KEY, DD_APP_KEY, and DD_SITE, and fail fast otherwise:

bash
# Run this block ONLY when you inferred a non-interactive request. It enforces the one thing
# headless needs — keys already present — and fails fast when any are missing.
# Load DD_* (env > .env.local > .env), same precedence as Step 1 — CI keys often live in .env, not exported.
for f in .env.local .env; do [ -f "$f" ] || continue; for k in DD_SITE DD_API_KEY DD_APP_KEY; do eval "[ -n \"\${$k:-}\" ]" && continue; v=$(grep -E "^$k=" "$f" | head -1 | cut -d= -f2- | sed 's/^["'\'']//;s/["'\'']$//'); [ -n "$v" ] && export "$k=$v"; done; done
missing=""
[ -z "$DD_API_KEY" ] && missing="$missing DD_API_KEY"
[ -z "$DD_APP_KEY" ] && missing="$missing DD_APP_KEY"
[ -z "$DD_SITE" ]    && missing="$missing DD_SITE"
[ -n "$missing" ] && { echo "Non-interactive mode requires:$missing — set them and re-run. Sign-in and trial signup need a browser."; exit 1; }

If all three are set, hand off to Step 5, which validates the key via /api/v1/validate (works with the DD-API-KEY header). Note: /api/v1/validate checks DD_API_KEY only — DD_APP_KEY is required but not independently verified here; a wrong/expired app key surfaces later at the first app-key-scoped call. There is no OAuth or signup fallback when headless — both need a browser — so fail with the message above and keep logs actionable.

↳ Checklist (headless): two items only — once validate passes, tick both and jump to Step 5.


Step 1 — Detect existing credentials

Read the environment and the project's .env / .env.local files. Do not read the values back to the user in full; mask them.

bash
# Load DD_* with precedence: shell env > .env.local > .env (real env var wins; quotes stripped). *_SRC = file it came from (unset ⇒ shell env).
for f in .env.local .env; do [ -f "$f" ] || continue; for k in DD_SITE DD_API_KEY DD_APP_KEY; do eval "[ -n \"\${$k:-}\" ]" && continue; v=$(grep -E "^$k=" "$f" | head -1 | cut -d= -f2- | sed 's/^["'\'']//;s/["'\'']$//'); [ -n "$v" ] && { export "$k=$v"; eval "${k}_SRC=$f"; }; done; done
echo "DD_SITE   = ${DD_SITE:-<unset>}${DD_SITE_SRC:+ (from $DD_SITE_SRC)}"
echo "DD_API_KEY= $( [ -n "$DD_API_KEY" ] && echo "set (…${DD_API_KEY: -4})${DD_API_KEY_SRC:+ (from $DD_API_KEY_SRC)}" || echo "<unset>" )"
echo "DD_APP_KEY= $( [ -n "$DD_APP_KEY" ] && echo "set (…${DD_APP_KEY: -4})${DD_APP_KEY_SRC:+ (from $DD_APP_KEY_SRC)}" || echo "<unset>" )"
  • A DD_API_KEY is present (env or .env/.env.local) → go to Step 2 (pin the site), then Step 3 and ask (choice A = use the detected key, or B/C to authenticate / create a different account). The detected key is an option the user confirms in Step 3, not a default to use silently — they may want a different org or account.
  • No DD_API_KEY anywhere → the user has nothing usable yet. Still do Step 2 (so signup lands them on the right region), then go to Step 3, where you'll ask how to connect.

An app key without an api key is not enough; treat it as "no key." Because the shell doesn't persist between blocks, every later block that consumes $DD_API_KEY re-runs this same loader at its top — that's why it reappears in Path A, Step 4, and Step 5.

↳ Checklist: post the list now — tick 1. Detect credentials, mark 2. Confirm region ◔.


Step 2 — Determine region / site

The site drives every URL downstream (signup, API host, key pages), so pin it before validating. The region table lives in references/regions.md.

  1. If DD_SITE is set (env or .env): validate it against the allowed-site list in references/regions.md. If it is not in that list, stop and show a clear error:

    DD_SITE="<value>" isn't a recognized Datadog site. Pick one of the regions in references/regions.md and set DD_SITE accordingly.

  2. If DD_SITE is unset: ask the user to pick a region from the table in references/regions.md — never silently commit one. Don't try to detect the user's location (no IP-geolocation lookups or other third-party calls): the right region is where their infrastructure runs, which may not be where they are. Default to US1 (datadoghq.com) if they have no preference. Tell the user, e.g.:

    Which Datadog region should this account live in? Pick the one closest to where your infrastructure runs (e.g. your cloud region) — sending data to a far-away region adds latency and egress cost, and the region can't be changed after the account is created. Default: US1 (Virginia), datadoghq.com.

    Use the host's native selector with US1 (default) first. If it caps the number of options, list as many as it allows in this order — US1, EU1, AP1, UK1 — and let the selector's free-text "Other" cover the rest.

    Wait for the user's reply before continuing. A plain acceptance ("ok", "default", "sure") means US1.

The API host is uniformly https://api.${DD_SITE}.

↳ Checklist: after the user confirms the region, tick 2. Confirm region, mark 3. Authenticate ◔.


Show full SKILL.md (582 more words)Show less

Step 3 — Authenticate

Ask how to connect first — even when Step 1 detected env credentials — then run the path the user picks. Present "The choice" before touching any credential: an ambient DD_API_KEY may belong to a different org or account than the user intends, and the region can't reveal which, so let the user decide rather than inferring it. (Headless/Step H is exempt — no TTY to ask, env keys only.)

The full detail — "The choice" native-selector wording plus all three paths — lives in references/authenticate.md:

The user picksPathWhat it does
Use my existing credentials (only offered if Step 1 detected a key)AValidate the detected key (also catches a wrong-region key → back to Step 2).
Sign in — I already have an accountBOAuth in the browser (PKCE + state), Bearer token to a 0600 file.
Create a new account (default)CAutomated in-terminal signup with a generated password → then Path B.

Read references/authenticate.md, present the choice via the host's native selector, and run the matching path. Re-offer the choice whenever a path dead-ends (OAuth finds no account → C; a wrong-region key sent the user back to Step 2 first).

↳ Checklist: keep 3. Authenticate ◔ until a token or key is actually in hand (see the per-path cues in references/authenticate.md).


Step 4 — Turn the OAuth session into an API key

The OAuth token authenticates the user, but downstream instrumentation needs a DD_API_KEY. Use the Bearer token to confirm identity, then obtain a key — retrieve the org's most-recent key on an OAuth session (OAuth tokens cannot create keys), or create one when authenticating with an app key; else guide the user to the UI key page.

The full branch (identity check, retrieve-vs-create, the HTTP-code-tagged block, and the outcome table for EMPTY_ORG / LIST_DENIED / SECRET_DENIED / CREATE_DENIED / TRANSPORT_ERROR) lives in references/get-api-key.md — follow it. The secret is written straight to .env, never echoed.

↳ Checklist: once a validated key is in hand, tick 4. Get & validate an API key, mark 5 ◔.


Step 5 — Confirm and hand off

The key is already in .env. Load it and validate (a fresh shell each call — always load .env first by parsing it, never source it, so a crafted .env can't execute; never inline the literal key):

bash
DDLOG="${TMPDIR:-/tmp}/dd-onboard-$(id -u).log"; tf="${TMPDIR:-/tmp}/dd-oauth-$(id -u).token"
# Load DD_* (env > .env.local > .env) — parse, don't source, so a crafted .env can't execute. Covers a Path-A key that lives only in the shell env or .env.local.
for f in .env.local .env; do [ -f "$f" ] || continue; for k in DD_SITE DD_API_KEY DD_APP_KEY; do eval "[ -n \"\${$k:-}\" ]" && continue; v=$(grep -E "^$k=" "$f" | head -1 | cut -d= -f2- | sed 's/^["'\'']//;s/["'\'']$//'); [ -n "$v" ] && export "$k=$v"; done; done
vcode=$(curl -sg -o "$DDLOG" -w '%{http_code}' -H "DD-API-KEY: $DD_API_KEY" "https://api.${DD_SITE}/api/v1/validate")
# re-derive org/email for the card (fresh shell — Step 4 vars don't persist); only if a token is still around
who=""; [ -s "$tf" ] && who=$(curl -sg -H "Authorization: Bearer $(cat "$tf")" "https://api.${DD_SITE}/api/v2/current_user" 2>>"$DDLOG" | grep -oE '"email"[[:space:]]*:[[:space:]]*"[^"]*"' | head -1 | cut -d'"' -f4)
cmk="${TMPDIR:-/tmp}/dd-signup-$(id -u).created"; spw=""   # marker exists only if THIS run created the account (Path C, C3) — no stale password from an earlier run
[ -f "$cmk" ] && spw=$(grep -E '^DD_SIGNUP_PASSWORD=' .env 2>/dev/null | tail -1 | cut -d= -f2-)   # newest .env entry = the password this run generated (C2 appends to .env)
# consistent 🔑 credential card — the one place credential state is summarized; secret shown only as last4
echo "🔑 Datadog credential"
[ -n "$who" ] && echo "   org:     $who"
echo "   region:  ${DD_SITE}"
echo "   api key: …${DD_API_KEY: -4}  (in .env — never printed in full)"
[ -n "$spw" ] && echo "   password: in .env as DD_SIGNUP_PASSWORD (ends …${spw: -4}) — you need it to sign in to Datadog"
echo "   status:  $([ "$vcode" = 200 ] && echo '✓ validated (HTTP 200)' || echo "✗ validate HTTP $vcode — see: tail -n 30 \"$DDLOG\"")"
  • The card above is the canonical summary — don't also dump the raw validate response. On a non-200, surface tail -n 30 "$DDLOG" and treat it per the outcome table (a 403 here is usually wrong region → Step 2).
  • Report the authenticated org/email from the identity call.
  • Credentials all live in .env (DD_SITE, DD_API_KEY, and DD_SIGNUP_PASSWORD if the account was created via Path C) — written there directly, never echoed. Clean up the signup temp files and the OAuth state + callback files: rm -f "${TMPDIR:-/tmp}"/dd-signup-$(id -u).* "${TMPDIR:-/tmp}"/dd-oauth-$(id -u).state "${TMPDIR:-/tmp}"/dd-oauth-$(id -u).cb.
  • Downstream handoff — keep the OAuth token. Leave ${TMPDIR:-/tmp}/dd-oauth-$(id -u).token (0600) in place. Downstream instrumentation reuses this Bearer token to provision resources a plain API key can't create — notably a RUM application. It is short-lived and scoped; the onboarding caller (e.g. the orchestrator) removes it once setup finishes (rm -f "${TMPDIR:-/tmp}"/dd-oauth-$(id -u).token). Running instrumentation standalone? Delete it yourself when done.
  • Hand back: "Account is ready. You can now run the setup / instrumentation step." (e.g. studio-setup, browser-rum-setup, llm-observability-setup, or any other *-setup skill).

↳ Checklist: tick 5. Ready — hand off — show the fully completed list so the user sees the flow is done.


Troubleshooting & reference

When a step fails, see references/troubleshooting.md — the symptom→fix table (wrong region, OAuth state mismatch, headless exit, Path-C signup errors, …) plus the design-decision and temp-state notes.

© 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

Files

SKILL.md and 5 other files (references) in dd-account-setup of datadog-labs/agent-skills.

  • SKILL.md
  • references/authenticate.md
  • references/conventions.md
  • references/get-api-key.md
  • references/regions.md
  • references/troubleshooting.md

Open the folder on GitHubat commit d2411cc

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Works with

Categories

Questions about Dd Account Setup

What does Dd Account Setup do?

Ensure the user has an authenticated Datadog account with a valid DDAPIKEY on the right region before any Datadog setup or instrumentation. Dd Account Setup is an agent skill from 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.

When should I use Dd Account Setup?

Dd Account Setup fits situations like: tasks that involve OAuth and OpenID Connect.

How do I install Dd Account Setup in Claude Code?

Run `npx skills add datadog-labs/agent-skills --skill dd-account-setup -a claude-code`. Or copy the skill folder (dd-account-setup in datadog-labs/agent-skills) into .claude/skills/dd-account-setup in your project. Claude Code loads it when a task matches its description.

How do I install Dd Account Setup in Codex?

Run `npx skills add datadog-labs/agent-skills --skill dd-account-setup -a codex`. Or copy the skill folder (dd-account-setup in datadog-labs/agent-skills) into .agents/skills/dd-account-setup in your project. Codex loads it when a task matches its description.

Can I use Dd Account Setup in Cursor, Gemini CLI or GitHub Copilot?

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 dd-account-setup -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-account-setup, .gemini/skills/dd-account-setup, .github/skills/dd-account-setup and .opencode/skills/dd-account-setup in your project.

What does Dd Account Setup need to run?

Going by SKILL.md and its folder, Dd Account Setup needs the command-line tools its instructions call (curl and python) and credentials named DD_API_KEY, DD_APP_KEY and DD_SIGNUP_PASSWORD. Our summary lists: Python 3; A credential in DD_API_KEY; A credential in DD_APP_KEY.

Does Dd Account Setup access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Dd Account Setup safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Dd Account Setup use?

Dd Account Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dd Account Setup use?

About 4.5k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.

What are the alternatives to Dd Account Setup?

Skills that share tags, products or a category with Dd Account Setup: Fortify Development (coollabsio/coolify, 63k stars), OmniRoute Provider Management (diegosouzapw/OmniRoute, 74k stars), Antipattern Prevention (doorkeeper-gem/doorkeeper, 5.5k stars) and Cognito (itsmostafa/aws-agent-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dd Account Setup?

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.