Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/heliohq/ship/e2enpx skills add heliohq/ship --skill e2egit clone --depth 1 https://github.com/heliohq/shipWrote 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.
[](https://agentmods.dev/skills/heliohq/ship/e2e)<a href="https://agentmods.dev/skills/heliohq/ship/e2e"><img src="https://agentmods.dev/badge/skills/heliohq/ship/e2e.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00058 | $0.02857 |
| Opus 5 | $0.00029 | $0.01429 |
| Sonnet 5 | $0.00012 | $0.00571 |
| Haiku 4.5 | $0.00006 | $0.00286 |
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 5d 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.
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/xfailto 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.examplevalues or env vars. - Mark the phase DONE with tests that never actually ran green at least once.
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.
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.
- 5d ago First seen · 298 lines · 58 tokens per session scan A 4f23809be7cf
e2e is a skill published in the GitHub repository heliohq/ship (92 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 2,857 once invoked, about $0.0003 per session on Opus 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.
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