TDD Workflow
hellangleZ/burn-in-cceverywhere-ralph
A skill your agent uses when writing new features, fixing bugs, or refactoring code.
Judge whether Agent behavior belongs in a new-e2e, integration, or unit test
$ npx skills add DataDog/datadog-agent --skill e2e-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/datadog-agent e2e-audit --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/e2e-audit .claude/skills/e2e-audit && 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 "e2e-audit" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/e2e-audit into .claude/skills/e2e-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e2e-audit", 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/e2e-auditType 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 e2e-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/datadog-agent e2e-audit --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/e2e-audit .agents/skills/e2e-audit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "e2e-audit" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/e2e-audit into .agents/skills/e2e-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e2e-audit", 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 e2e-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/datadog-agent e2e-audit --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/e2e-audit .cursor/skills/e2e-audit && 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 "e2e-audit" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/e2e-audit into .cursor/skills/e2e-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e2e-audit", 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/e2e-audit--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 e2e-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/datadog-agent e2e-audit --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/e2e-audit .gemini/skills/e2e-audit && 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 "e2e-audit" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/e2e-audit into .gemini/skills/e2e-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e2e-audit", 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 e2e-auditInstalls 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 e2e-audit -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/e2e-audit .github/skills/e2e-audit && 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 "e2e-audit" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/e2e-audit into .github/skills/e2e-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e2e-audit", 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 e2e-audit -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 e2e-audit --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/e2e-audit .opencode/skills/e2e-audit && 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 "e2e-audit" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/e2e-audit into .opencode/skills/e2e-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e2e-audit", 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.
e2e-auditJudge whether Agent behavior belongs in a new-e2e, integration, or unit test
E2E Audit is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Judge whether Agent behavior belongs in a new-e2e, integration, or unit test
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering End-to-end testing and Unit testing. The repository describes itself as: Main repository for Datadog Agent. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
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 these tools, so the agent can use them without asking each time:
ReadGlobGrepBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
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.
E2E Audit loads about 1.9k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 1,036 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.
allowed-tools: Read, Glob, Grep, BashAutomated 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 Apache-2.0 licence (© DataDog). 1,036 words, ~1,867 tokens.
.claude/skills/e2e-audit/SKILL.md (or your agent's skills folder).Decide whether assertions about proposed or existing Agent behavior belong in
a full new-e2e test, an integration test, or a unit test. Produce only a
verdict and rationale. Never edit, move, or delete tests.
Analyze observable claims and failure modes, not entire test files or individual
assert or require calls. Group checks that validate the same contract as one
assertion, including implicit claims such as successful installation, startup,
or command execution.
Choose the cheapest test that preserves the boundary and failure mode that matter. Do not ask only whether an assertion can be made with mocks; ask what the assertion would stop validating if its dependencies were replaced.
Use new-e2e when the deployed Agent or its real environment is part of the
behavior being validated. This includes boundaries such as:
A behavior is not E2E-worthy merely because the current test reaches it through SSH, a CLI, or remote infrastructure. If those layers add no relevant coverage, use a lower-level test.
Use an integration test when the important boundary can be preserved locally,
for example by wiring components with fx.Test, using a local fakeintake, or
using a real local daemon, driver, or hardware dependency. A real local
dependency does not by itself require new-e2e.
Use a unit test when the behavior is isolated logic and does not require a real component graph, process, or external dependency.
Duplicating an E2E assertion in a unit or integration test is useful when the lower-level test preserves its failure mode: it provides faster PR feedback, more deterministic failures, and easier debugging. Do not treat this useful duplication as waste by itself.
After identifying lower-level coverage, reevaluate what the E2E test uniquely validates. Repeating the same assertion through the deployed Agent can still be valuable when it catches assembly, configuration, packaging, lifecycle, or forwarding failures that the lower-level test cannot. If nearly all material assertions have equivalent lower-level coverage and the E2E test preserves no meaningful additional boundary, its feedback no longer justifies its provisioning, runtime, and maintenance cost; recommend removing it. Base this decision on residual failure coverage, not only the number of duplicated assertions.
If the description does not establish the relevant assertions or boundaries, ask for the missing information or return an explicitly uncertain verdict.
*_test.go files.
Follow shared suites, setup code, helpers, and provisioners rather than
judging files in isolation.For large reviews, inspect files in parallel if possible, then verify and synthesize the results.
Use one of these verdicts:
For proposed behavior, classify each expected assertion and return an overall verdict with a short reason. For existing tests, classify each material assertion and return one verdict per concrete suite, naming the assertion and boundary that determine it. State what the E2E test uniquely validates after accounting for lower-level coverage, or say that no material E2E-only boundary remains. When several assertions differ, use a concise table with these columns: assertion, failure caught, smallest environment, and classification. Add only material uncertainty, lower-level candidates, or consolidation opportunities.
Input: Verify that installing the Agent package creates a running service with the expected permissions and that data reaches fakeintake after a reboot.
Output: E2E justified — The package installation, service lifecycle, permissions, reboot, and forwarding path are the behavior under test; a lower-level test would not preserve those deployed-system boundaries.
Input: Verify that the assembled Agent components transform a payload and send it to a local fakeintake.
Output: Should be an integration test — A locally assembled component graph and fakeintake preserve the component wiring and payload boundary without provisioning remote infrastructure.
Input: Verify that the configuration parser rejects a negative timeout and applies the default when the field is absent.
Output: Should be a unit test — This is isolated parsing and validation logic that does not require a real component graph, process, or external dependency.
Do not propose implementation changes unless the user asks for them.
© DataDog, Apache-2.0. 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 .agents/skills/e2e-audit of DataDog/datadog-agent.
Open the folder on GitHubat commit 20eff25
E2E Audit 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 |
|---|---|---|---|---|---|---|
| E2E Audit this skillDataDog/datadog-agent | 3.8k | — | ~1.9k | Automated safety check: Notes | Apache-2.0 | |
| TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph | 112 | 11 repos | ~2.4k | Automated safety check: Pass | None | |
| Contractssamchon/nestia | 2.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Atdd Mutateswingerman/engineer | 154 | — | ~2.7k | Automated safety check: Pass | MIT | |
| E2E Scenario Testingobra/dotfiles | 116 | — | ~1.8k | Automated safety check: Pass | None | |
| TDD Workflowaffaan-m/ECC | 275k | 2 repos | ~2k | Automated safety check: Pass | MIT |
hellangleZ/burn-in-cceverywhere-ralph
A skill your agent uses when writing new features, fixing bugs, or refactoring code.
samchon/nestia
Defines self-acknowledgments for production declarations and tests.
swingerman/engineer
A skill your agent uses to add a third validation layer to the ATDD workflow — after acceptance tests verify WHAT and unit tests verify HOW, mutation testing verifies the tests actually catch bugs.
obra/dotfiles
A skill your agent uses when verifying a running application end-to-end through its real interface — a web UI, a CLI, or a TUI — by writing and executing agent-run "scenario cards" against a freshly…
affaan-m/ECC
新機能の作成、バグ修正、コードのリファクタリング時にこのスキルを使用します。ユニット、統合、E2Eテストを含む80%以上のカバレッジでテスト駆動開発を強制します。
affaan-m/ECC
새 기능 작성, 버그 수정 또는 코드 리팩터링 시 이 스킬을 사용하세요. An agent skill from affaan-m/ECC.
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
Judge whether Agent behavior belongs in a new-e2e, integration, or unit test. E2E Audit is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization.
E2E Audit fits situations like: tasks that involve End-to-end testing; tasks that involve Unit testing.
Run `npx skills add DataDog/datadog-agent --skill e2e-audit -a claude-code`. Or copy the skill folder (.agents/skills/e2e-audit in DataDog/datadog-agent) into .claude/skills/e2e-audit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DataDog/datadog-agent --skill e2e-audit -a codex`. Or copy the skill folder (.agents/skills/e2e-audit in DataDog/datadog-agent) into .agents/skills/e2e-audit 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 e2e-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/e2e-audit, .gemini/skills/e2e-audit, .github/skills/e2e-audit and .opencode/skills/e2e-audit in your project.
SKILL.md names no scripts, command-line tools or credentials: E2E Audit is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Bash.
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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
E2E Audit is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.5k 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 E2E Audit: TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars), Contracts (samchon/nestia, 2.2k stars), Atdd Mutate (swingerman/engineer, 154 stars) and E2E Scenario Testing (obra/dotfiles, 116 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.