Web Application Testing
anthropics/skills
Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.
Give your AI agents something more useful than a prompt. An agent skill from DataDog/datadog-agent.
$ npx skills add DataDog/datadog-agent --skill allium -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/datadog-agent allium --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/datadog-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/allium .claude/skills/allium && 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 "allium" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/allium into .claude/skills/allium/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "allium", 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/datadog-agent/tree/main/.agents/skills/alliumType 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/datadog-agent --skill allium -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/datadog-agent allium --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/allium .agents/skills/allium && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "allium" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/allium into .agents/skills/allium/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "allium", 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/datadog-agent --skill allium -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/datadog-agent allium --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/allium .cursor/skills/allium && 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 "allium" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/allium into .cursor/skills/allium/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "allium", 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/datadog-agent.git --path .agents/skills/allium--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/datadog-agent --skill allium -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/datadog-agent allium --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/allium .gemini/skills/allium && 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 "allium" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/allium into .gemini/skills/allium/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "allium", 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/datadog-agent alliumInstalls 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/datadog-agent --skill allium -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/allium .github/skills/allium && 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 "allium" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/allium into .github/skills/allium/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "allium", 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/datadog-agent --skill allium -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/datadog-agent allium --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/allium .opencode/skills/allium && 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 "allium" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/allium into .opencode/skills/allium/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "allium", 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.
alliumGive your AI agents something more useful than a prompt. An agent skill from DataDog/datadog-agent.
Allium is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Give your AI agents something more useful than a prompt. Velocity through clarity.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `README.md`, `references/language-reference.md` and `references/patterns.md`).
It sits in Testing & QA. The repository describes itself as: Main repository for Datadog Agent. The licence is MIT.
Read from SKILL.md and the folder at commit 20eff25. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are allium).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Allium loads about 3.2k tokens when it runs, and up to ~54k if it reads all its reference files. Until then it costs about 22 tokens; SKILL.md has 1,045 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/datadog-agent at commit 20eff25, republished under its MIT licence (© DataDog). 1,045 words, ~3,175 tokens.
.claude/skills/allium/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Allium is a formal language for capturing software behaviour at the domain level. It sits between informal feature descriptions and implementation, providing a precise way to specify what software does without prescribing how it's built.
The name comes from the botanical family containing onions and shallots, continuing a tradition in behaviour specification tooling established by Cucumber and Gherkin.
Key principles:
Allium does NOT specify programming language or framework choices, database schemas or storage mechanisms, API designs or UI layouts, or internal algorithms (unless they are domain-level concerns).
| Task | Tool | When |
|---|---|---|
Writing or reading .allium files | this skill | You need language syntax and structure |
| Building a spec through conversation | elicit skill | User describes a feature or behaviour they want to build |
| Extracting a spec from existing code | distill skill | User has implementation code and wants a spec from it |
| Modifying an existing spec | tend agent | User wants targeted changes to .allium files |
| Checking spec-to-code alignment | weed agent | User wants to find or fix divergences between spec and implementation |
| Generating tests from a spec | propagate skill | User wants to generate tests, PBT properties or state machine tests from a specification |
entity Candidacy {
-- Fields
candidate: Candidate
role: Role
status: pending | active | completed | cancelled -- inline enum
retry_count: Integer
-- Relationships
invitation: Invitation with candidacy = this -- one-to-one
slots: InterviewSlot with candidacy = this -- one-to-many
-- Projections
confirmed_slots: slots where status = confirmed
pending_slots: slots where status = pending
-- Derived
is_ready: confirmed_slots.count >= 3
has_expired: invitation.expires_at <= now
}external entity Role { title: String, required_skills: Set<Skill>, location: Location }value TimeRange { start: Timestamp, end: Timestamp, duration: end - start }A base entity declares a discriminator field whose capitalised values name the variants. Variants use the variant keyword.
entity Node {
path: Path
kind: Branch | Leaf -- discriminator field
}
variant Branch : Node {
children: List<Node?>
}
variant Leaf : Node {
data: List<Integer>
log: List<Integer>
}Lowercase pipe values are enum literals (status: pending | active). Capitalised values are variant references (kind: Branch | Leaf). Type guards (requires: or if branches) narrow to a variant and unlock its fields.
Declares the entity instances a module's rules operate on. All rules inherit these bindings. Not every module needs one: rules scoped by triggers on domain entities get their entities from the trigger. given is for specs where rules operate on shared instances that exist once per module scope.
given {
pipeline: HiringPipeline
calendar: InterviewCalendar
}Imported module instances are accessed via qualified names (scheduling/calendar) and do not appear in the local given block. Distinct from surface context, which binds a parametric scope for a boundary contract.
rule InvitationExpires {
when: invitation: Invitation.expires_at <= now
requires: invitation.status = pending
let remaining = invitation.proposed_slots where status != cancelled
ensures: invitation.status = expired
ensures:
for s in remaining:
s.status = cancelled
@guidance
-- Non-normative implementation advice.
}when: CandidateSelectsSlot(invitation, slot) — action from outside the systemwhen: interview: Interview.status transitions_to scheduled — entity changed state (transition only, not creation)when: interview: Interview.status becomes scheduled — entity has this value, whether by creation or transitionwhen: invitation: Invitation.expires_at <= now — time-based condition (always add a requires guard against re-firing)when: interview: Interview.all_feedback_in — derived value becomes truewhen: batch: DigestBatch.created — fires when a new entity is createdwhen: AllConfirmationsResolved(candidacy) — subscribes to a trigger emission from another rule's ensures clauseAll entity-scoped triggers use explicit var: Type binding. Use _ as a discard binding where the name is not needed: when: _: Invitation.expires_at <= now, when: SomeEvent(_, slot).
A for clause applies the rule body once per element in a collection:
rule ProcessDigests {
when: schedule: DigestSchedule.next_run_at <= now
for user in Users where notification_setting.digest_enabled:
let settings = user.notification_setting
ensures: DigestBatch.created(user: user, ...)
}Ensures clauses have four outcome forms:
entity.field = valueEntity.created(...) — the single canonical creation verbTriggerName(params) — emits an event for other rules to chain fromnot exists entity — asserts the entity no longer existsThese forms compose with for iteration (for x in collection: ...), if/else conditionals and let bindings.
Entity creation uses .created() exclusively. Domain meaning lives in entity names and rule names, not in creation verbs.
In state change assignments, the right-hand expression references pre-rule field values. Conditions within ensures blocks (if guards, creation parameters, trigger emission parameters) reference the resulting state.
surface InterviewerDashboard {
facing viewer: Interviewer
context assignment: SlotConfirmation where interviewer = viewer
exposes:
assignment.slot.time
assignment.status
provides:
InterviewerConfirmsSlot(viewer, assignment.slot)
when assignment.status = pending
related:
InterviewDetail(assignment.slot.interview)
when assignment.slot.interview != null
}Surfaces define contracts at boundaries. The facing clause names the external party, context scopes the entity. The remaining clauses use a single vocabulary regardless of whether the boundary is user-facing or code-to-code: exposes (visible data, supports for iteration over collections), provides (available operations with optional when-guards), contracts: (references module-level contract declarations with demands/fulfils direction markers), @guarantee (named prose assertions about the boundary), @guidance (non-normative advice), related (associated surfaces reachable from this one), timeout (references to temporal rules that apply within the surface's context).
The facing clause accepts either an actor type (with a corresponding actor declaration and identified_by mapping) or an entity type directly. Use actor declarations when the boundary has specific identity requirements; use entity types when any instance can interact (e.g., facing visitor: User). For integration surfaces where the external party is code, declare an actor type with a minimal identified_by expression. Actors that reference within in their identified_by expression must declare the expected context type: within: Workspace.
The exposes block is the field-level contract: the implementation returns exactly these fields, the consumer uses exactly these fields. Do not add fields not listed. Do not omit fields that are listed.
contract Codec {
serialize: (value: Any) -> ByteArray
deserialize: (bytes: ByteArray) -> Any
@invariant Roundtrip
-- deserialize(serialize(value)) produces a value
-- equivalent to the original for all supported types.
}Contracts are module-level declarations referenced by name in surface contracts: clauses (demands Codec, fulfils EventSubmitter). See Contracts for declaration syntax and referencing rules.
Navigation: interview.candidacy.candidate.email, reply_to?.author (optional), timezone ?? "UTC" (null coalescing). Collections: slots.count, slot in invitation.slots, interviewers.any(i => i.can_solo), for item in collection: item.status = cancelled, permissions + inherited (set union), old - new (set difference). Comparisons: status = pending, count >= 2, status in {confirmed, declined}, provider not in providers. Boolean logic: a and b, a or b, not a, a implies b.
use "github.com/allium-specs/google-oauth/abc123def" as oauthQualified names reference entities across specs: oauth/Session. Coordinates are immutable (git SHAs or content hashes). Local specs use relative paths: use "./candidacy.allium" as candidacy.
config {
invitation_expiry: Duration = 7.days
max_login_attempts: Integer = 5
extended_expiry: Duration = invitation_expiry * 2 -- expression-form default
sync_timeout: Duration = core/config.default_timeout -- config parameter reference
}Rules reference config values as config.invitation_expiry. For default entity instances, use default.
default Role viewer = { name: "viewer", permissions: { "documents.read" } }invariant NonNegativeBalance {
for account in Accounts:
account.balance >= 0
}Expression-bearing invariants (invariant Name { expression }) assert properties over entity state. They are logical assertions, not runtime checks. Distinct from prose annotations (@invariant Name) in contracts, which use the @ sigil to mark content the checker does not evaluate. See Invariants.
entity Order {
status: pending | confirmed | shipped | delivered | cancelled
transitions status {
pending -> confirmed
confirmed -> shipped
shipped -> delivered
pending -> cancelled
confirmed -> cancelled
terminal: delivered, cancelled
}
}entity Order {
status: pending | confirmed | shipped | delivered | cancelled
customer: Customer
total: Money
tracking_number: String when status = shipped | delivered
shipped_at: Timestamp when status = shipped | delivered
transitions status {
pending -> confirmed
confirmed -> shipped
shipped -> delivered
pending -> cancelled
confirmed -> cancelled
terminal: delivered, cancelled
}
}deferred InterviewerMatching.suggest -- see: detailed/interviewer-matching.alliumopen question "Admin ownership - should admins be assigned to specific roles?"When the allium CLI is installed, a hook validates .allium files automatically after every write or edit. Fix any reported issues before presenting the result. If the CLI is not available, verify against the language reference.
© DataDog, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (references) in .agents/skills/allium of DataDog/datadog-agent.
Open the folder on GitHubat commit 20eff25
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in DataDog/datadog-agent, which our catalogue first saw on October 8, 2026.
Allium 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 |
|---|---|---|---|---|---|---|
| Allium this skillDataDog/datadog-agent | 3.8k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Web Application Testinganthropics/skills | 180k | 51 repos | ~966 | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Bugsfossasia/eventyay-interpretation | 1.6k | 32 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| TDDpietheinstrengholt/rssmonster | 564 | 30 repos | ~906 | Automated safety check: Pass | MIT | |
| TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph | 112 | 11 repos | ~2.4k | Automated safety check: Pass | None | |
| TDDsanity-io/sanity | 6.4k | 20 repos | ~1k | Automated safety check: Pass | MIT |
anthropics/skills
Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.
fossasia/eventyay-interpretation
Diagnosis loop for hard bugs and performance regressions. An agent skill from fossasia/eventyay-interpretation.
pietheinstrengholt/rssmonster
Test-driven development. An agent skill from pietheinstrengholt/rssmonster.
hellangleZ/burn-in-cceverywhere-ralph
A skill your agent uses when writing new features, fixing bugs, or refactoring code.
sanity-io/sanity
Test-driven development with red-green-refactor loop. An agent skill from sanity-io/sanity.
Ibrahim-3d/orchestrator-supaconductor
A skill your agent uses when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md…
DataDog/datadog-agent
Classify a failed CI as either caused by an active incident, flakiness, or a true code regression.
DataDog/datadog-agent
Run a structured discovery session to build an Allium specification through conversation.
DataDog/datadog-agent
Monitor the current PR's GitLab pipeline to completion, then report success, auto-fix, or investigate a failure.
DataDog/datadog-agent
A skill your agent uses when an engineer or manager asks to recap, summarize, or post an update on a Jira Epic — a progress update for an in-progress Epic (how far along it is, what's shipped so…
DataDog/datadog-agent
Explains a lading.yaml config file from the regression test suite, using the lading Rust source as ground truth for field meanings and defaults.
DataDog/datadog-agent
Extract an Allium specification from an existing codebase. An agent skill from DataDog/datadog-agent.
Categories
Give your AI agents something more useful than a prompt. An agent skill from DataDog/datadog-agent. Allium is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Give your AI agents something more useful than a prompt.
Allium fits situations like: testing & QA work in your project.
Run `npx skills add DataDog/datadog-agent --skill allium -a claude-code`. Or copy the skill folder (.agents/skills/allium in DataDog/datadog-agent) into .claude/skills/allium in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DataDog/datadog-agent --skill allium -a codex`. Or copy the skill folder (.agents/skills/allium in DataDog/datadog-agent) into .agents/skills/allium 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/datadog-agent --skill allium -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/allium, .gemini/skills/allium, .github/skills/allium and .opencode/skills/allium in your project.
SKILL.md names no scripts, command-line tools or credentials: Allium is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Allium is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k 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 51k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Allium: Web Application Testing (anthropics/skills, 180k stars), Diagnosing Bugs (fossasia/eventyay-interpretation, 1.6k stars), TDD (pietheinstrengholt/rssmonster, 564 stars) and TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DataDog (a GitHub organization, an official publisher) maintains it in DataDog/datadog-agent, which has 3,757 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 8, 2026.
Source: DataDog/datadog-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.