Agent skill

Enterprise Testing

by openclaw in openclaw/openclaw-enterprise

Select proportional Enterprise validation and diagnose exact CI runs, distinguishing product, harness, infrastructure, and credential failures.

MITAuto-check passedDatabases

Install Enterprise Testing

skills CLI
$ npx skills add openclaw/openclaw-enterprise --skill enterprise-testing -a claude-code

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

GitHub CLI
$ gh skill install openclaw/openclaw-enterprise enterprise-testing --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/openclaw/openclaw-enterprise.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/enterprise-testing .claude/skills/enterprise-testing && 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
enterprise-testing
GitHub stars
359
Token cost
~1.6k tokens
SKILL.md length
641 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Select proportional Enterprise validation and diagnose exact CI runs, distinguishing product, harness, infrastructure, and credential failures.

  • Databases work in your project
  • SKILL.md covers Select proof, Real-runtime boundaries, Diagnose CI and Provenance
  • Calls pnpm, gh and node

What it does

Enterprise Testing is an agent skill from openclaw/openclaw-enterprise. Select proportional Enterprise validation and diagnose exact CI runs, distinguishing product, harness, infrastructure, and credential failures.

Its SKILL.md is about 1.6k 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 Databases. It works with PostgreSQL, pnpm and Docker. The repository describes itself as: The Enterprise-grade Control Plane for modern agentic workloads. The licence is MIT.

When your agent uses it

  • Databases work in your project

Example prompts

  • “/enterprise-testing”

Requirements

  • Node.js
  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit 96faf10. 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:

    • pnpm
    • gh
    • node
    • npm
    • git

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

  • Network

    No URLs in SKILL.md. Its commands use pnpm, gh, npm and git, 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 no API keys, tokens, secrets or passwords.

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

Context cost

Enterprise Testing loads about 1.6k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 641 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 passed

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.

SKILL.md

The full file from openclaw/openclaw-enterprise at commit 96faf10, republished under its MIT licence (© openclaw). 641 words, ~1,646 tokens.

Download SKILL.mdSave it as .claude/skills/enterprise-testing/SKILL.md (or your agent's skills folder).
name
enterprise-testing
description
Select proportional Enterprise validation and diagnose exact CI runs, distinguishing product, harness, infrastructure, and credential failures.

Enterprise Testing

Prove the changed contract with the smallest meaningful check, complete required checks, then stop. Broaden or repeat for new changes, failures, or unresolved risks. Use test-audit when authoring or reviewing tests; do not create tests that merely mirror a reversible documentation or style edit.

Read the touched scope's AGENTS.md and the selected testing guide. Run commands from the repository root. Use Node.js 24 or newer and repository-pinned pnpm with matching installed dependencies. Do not install or reconcile dependencies as a verification side effect. Report missing prerequisites; dependency-independent checks prove only their own scope. Never run npm run precommit.

Select proof

Changed contractStarting proof and owner
Domain or Driver behaviornode --test tests/conformance/<name>.test.mjs; broaden to pnpm test:conformance when relevant.
API or controller behaviornode --test tests/integration/<name>.test.mjs; broaden to pnpm test:integration. See local checks.
PostgreSQL persistencepnpm test:postgres after the database prerequisites; use the actual database for persisted invariants.
Docker runtimepnpm docker:test with explicit selectors, images, and credentials from Docker testing.
KubernetesSelect the exact fixture or runtime file from Kubernetes testing, with its disposable cluster and database prerequisites.
Console UIpnpm test:console-browser with the prepared browser described in browser testing.
Types, package boundaries, generated APIpnpm typecheck (also the current build command); pnpm openapi:check for API changes.
Documentation or skillspnpm docs:check, relevant links, and git diff --check; no runtime tests solely for prose changes.
CI or test selectionnode scripts/ci/run-tests.mjs audit; inspect CI ownership, and use actionlint for workflow edits when available.

Run pnpm check:workspace and applicable pnpm format:check with the installed graph. The root formatter does not include .agents/skills/**/*.md; inspect adapted skill Markdown separately. Keep the vendored autoreview directory unchanged. Use the local checks guide for formatting and generated-artifact procedures. Resolve <name> to existing owner/sibling tests; do not run placeholder commands. When all conformance and integration contracts need proof, pnpm test selects both; browser and credentialed coverage still depend on their documented selection and prerequisites.

Real-runtime boundaries

Use only owned disposable resources and authorized credentials. Scope selection variables to the chosen process; preserve shared dependencies, services, databases, kubeconfig, and unrelated clusters. Do not run untrusted contributor tooling against a credentialed local environment; use an approved isolated CI environment. Setup and credentialed execution need their existing authorization.

Follow repository integration requirements and each suite's guide for images, model selection, database roles, credential placement, networking, and cleanup. Do not bypass missing credentials, disable isolation, or substitute a fake for requested runtime proof. Selected required cluster/runtime cases must pass without skips. Fixture or in-memory success does not prove genuine gateway, Codex WebSocket, model execution, or production deployment. A green PR aggregate does not prove manual credentialed lanes ran.

Show full SKILL.md (201 more words)Show less

Diagnose CI

sh
gh pr view <pr> --json headRefOid,statusCheckRollup
gh run view <run-id> --json status,conclusion,headSha,url,jobs
gh run view <run-id> --job <job-id> --log

Bind evidence to the PR head, actual run SHA, run ID, and job ID. A pull-request run may test a merge commit: record that relation rather than assuming its SHA equals the branch head. Inspect the latest attempt for that source; confirm whether a newer run superseded a cancellation. Fetch relevant leaf logs and result artifacts, not just the rollup status. Use CI result accounting and coverage to interpret selected lanes and skips.

  • Product: supported behavior fails with valid setup; reproduce narrowly, repair the owning implementation, and rerun that proof.
  • Harness: selection, setup, assertions, or result accounting are wrong; repair the harness without weakening required outcomes.
  • Infrastructure: provisioning, image availability, networking, or capacity fails; retain evidence and retry the affected job only when justified.
  • Credentials: approved credentials, access, or protected-environment approval is missing; report the gap without exposing values or substituting mock proof.

Do not infer a category solely from a check name. State uncertainty when logs are unavailable. Route unrelated failures with evidence instead of expanding the task; never rerun a broad workflow merely to erase a failure. Report commands, source/run/job identity, pass/fail/skip counts, proof limits, and remaining blockers.

Provenance

Adapted from OpenClaw; see source and intentional adaptations.

© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/enterprise-testing of openclaw/openclaw-enterprise.

Open the folder on GitHubat commit 96faf10

Compare with similar skills

Enterprise Testing 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.

Enterprise Testing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Enterprise Testing this skillopenclaw/openclaw-enterprise359—~1.6kAutomated safety check: PassMIT
Weft FrontendWeaveMindAI/weft2k—~8kAutomated safety check: NotesCustom licence
Iron Proxy Gateway for NanoClawnanocoai/nanoclaw31k—~4.6kAutomated safety check: NotesMIT
How To Communicatedatabasus/databasus8.8k—~3.9kAutomated safety check: PassMIT
SQL Database Support for pRESTprest/prest4.6k—~1.6kAutomated safety check: PassMIT
Rhctlsaidake/rhctl106—~4kAutomated safety check: NotesApache-2.0

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More from openclaw/openclaw-enterprise

All 9 skills in this repo
  • Local Dev

    openclaw/openclaw-enterprise

    Develop OpenClaw Enterprise changes with proportional verification and source-backed flow documentation for non-trivial behavior.

    359 GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Technical Writing

    openclaw/openclaw-enterprise

    Write, organize, name, edit, or review Enterprise developer documentation, specifications, and technical instructions; ground claims in current source and finish with a plain-language cleanup.

    359 GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Test Audit

    openclaw/openclaw-enterprise

    Gate new or changed Enterprise tests and audit existing tests for observable behavior, credible regressions, duplicate coverage, and test-only production seams.

    359 GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Mermaid Diagrams

    openclaw/openclaw-enterprise

    Create or refine readable Mermaid diagrams for changes, architecture, lifecycles, and dependencies in Markdown documents and PR descriptions.

    359 GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Design Review

    openclaw/openclaw-enterprise

    Assess designs, public interfaces, state ownership, readability, and refactor proposals when the task calls for design review or structural simplification; not for unrelated routine edits.

    359 GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Deslop

    openclaw/openclaw-enterprise

    Clean only the current Enterprise diff before autoreview, preserving behavior, security boundaries, required TODOs, and useful test-intent comments.

    359 GitHub stars~739 tokensUpdated today
    Auto-check passed

Categories

Questions about Enterprise Testing

What does Enterprise Testing do?

Select proportional Enterprise validation and diagnose exact CI runs, distinguishing product, harness, infrastructure, and credential failures. Enterprise Testing is an agent skill from openclaw/openclaw-enterprise. Select proportional Enterprise validation and diagnose exact CI runs, distinguishing product, harness, infrastructure, and credential failures.

When should I use Enterprise Testing?

Enterprise Testing fits situations like: databases work in your project.

How do I install Enterprise Testing in Claude Code?

Run `npx skills add openclaw/openclaw-enterprise --skill enterprise-testing -a claude-code`. Or copy the skill folder (.agents/skills/enterprise-testing in openclaw/openclaw-enterprise) into .claude/skills/enterprise-testing in your project. Claude Code loads it when a task matches its description.

How do I install Enterprise Testing in Codex?

Run `npx skills add openclaw/openclaw-enterprise --skill enterprise-testing -a codex`. Or copy the skill folder (.agents/skills/enterprise-testing in openclaw/openclaw-enterprise) into .agents/skills/enterprise-testing in your project. Codex loads it when a task matches its description.

Can I use Enterprise Testing 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 openclaw/openclaw-enterprise --skill enterprise-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enterprise-testing, .gemini/skills/enterprise-testing, .github/skills/enterprise-testing and .opencode/skills/enterprise-testing in your project.

What does Enterprise Testing need to run?

Going by SKILL.md and its folder, Enterprise Testing needs the command-line tools its instructions call (pnpm, gh, node, npm and git). Our summary lists: Node.js; Docker.

Does Enterprise Testing access the network?

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

Is Enterprise Testing safe to install?

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.

What licence does Enterprise Testing use?

Enterprise Testing 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 Enterprise Testing use?

About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Enterprise Testing?

Skills that share tags, products or a category with Enterprise Testing: Weft Frontend (WeaveMindAI/weft, 2k stars), Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), How To Communicate (databasus/databasus, 8.8k stars) and SQL Database Support for pREST (prest/prest, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Enterprise Testing?

openclaw (a GitHub organization) maintains it in openclaw/openclaw-enterprise, which has 359 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 7, 2026.

Source: openclaw/openclaw-enterprise on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.