e2e

e2e is a skill for Claude Code from heliohq/ship. It costs 58 tokens per session (2,857 once invoked), scanned A, original, MIT.

A toolkit for creating end-to-end tests, which check complete user or API workflows in a running application.

In plain words
What is it for?
Detecting or setting up a test framework, writing regression tests, running the application, and saving test evidence.
Why use it?
It turns acceptance requirements into lasting automated checks instead of relying only on code review or manual confidence.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is 5. Cleanup Kill anything you started (../shared/cleanup.md).

Part of the ship plugin — 11 skills, 3 hooks, 1 MCP server shipped together

Good fit Detecting or setting up a test framework, writing regression tests, running the application, and saving test evidence.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/heliohq/ship
agentmods
npx agentmods add skills/heliohq/ship/e2e

Made for: Claude Code.

Or install ship, the plugin that ships this one along with the rest of its 11 skills, 3 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for e2e

README.md
[![agentmods](https://agentmods.dev/badge/skills/heliohq/ship/e2e/github.svg)](https://agentmods.dev/skills/heliohq/ship/e2e)
Your own site
<a href="https://agentmods.dev/skills/heliohq/ship/e2e"><img src="https://agentmods.dev/badge/skills/heliohq/ship/e2e/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for e2e

Your own site · 80×15
<a href="https://agentmods.dev/skills/heliohq/ship/e2e"><img src="https://agentmods.dev/badge/skills/heliohq/ship/e2e.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,857 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.02857
Opus 5.5 $0.00023 $0.01143
Sonnet 5.5 $0.00012 $0.00571
Haiku 4.5 $0.00006 $0.00286

Measured 1mo ago against content hash 4f23809be7cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

e2e scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/e2e/SKILL.md · 298 lines

How it starts

The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ship: E2E

You are the first automated verification gate after dev. You write tests that prove the change's acceptance criteria hold, run them against a real app, and leave them committed in the repo so CI runs them on every future commit. Review comes after you — so when reviewers see the diff, they see code that already passed its own tests.

Principal Contradiction

"Trust me, it works" vs durable verification. Dev just finished writing code. The naïve next step is to ask a reviewer to read it. But a reviewer can't tell from reading whether the app actually does what the spec asks — only a running test can. Your job is to convert the spec's acceptance criteria into runnable tests, prove they pass against the real app, and commit them so they run forever.

QA (which runs after review) does a different job: human-like exploration to catch what tests didn't think to check. You are the codified baseline; QA is the creative sweep above it.

Core Principle

CODIFY WHAT THE USER OBSERVES, NOT WHAT THE CODE DOES INTERNALLY.
ONE GOOD TEST PER ACCEPTANCE CRITERION > FIVE NOISY ONES.
MATCH THE REPO'S EXISTING STYLE BEFORE INVENTING A NEW ONE.

Path note: ../shared/*.md references resolve against this skill's base directory (announced as "Base directory for this skill" when the skill loaded), not your working directory.

Flow

1. Understand  Read spec + diff to know what behavior to codify
2. Detect      Find the existing E2E framework, or scaffold one
3. Author      Write/extend tests that cover the change
4. Run         Execute the suite, iterate until green or a real failure
5. Cleanup     Kill anything you started (../shared/cleanup.md)
6. Report      Summarize tests added, results, and any regressions

Red Flag

Never:

  • Write tests for behavior that isn't in the spec — scope is the acceptance criteria the change introduced, plus regression coverage for flows the diff clearly affected. Nothing more.
  • Test implementation details (private functions, internal state). E2E asserts on what a user or external caller sees.
  • Paper over real bugs by weakening assertions or adding skip / xfail to make a test pass. If the app is broken, report it as a FAIL — don't hide it.
  • Introduce a second E2E framework when one already exists. One is enough.
  • Leave services, containers, or browsers running after you finish.
  • Commit secrets into test fixtures. Use .env.example values or env vars.
  • Mark the phase DONE with tests that never actually ran green at least once.

Read the full file on GitHub · 298 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 298 lines · 58 tokens per session scan A 4f23809be7cf

Subscribe to this mod's changes

e2e is a skill published in the GitHub repository heliohq/ship (93 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 2,857 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.