e2e

e2e is a skill for Codex from sgaabdu4/hard-eng. It costs 36 tokens per session (495 once invoked), scanned A, original, MIT.

A testing guide for proving real browser, phone, or tablet behavior with automated checks, saved state, deployments, screenshots, or recordings.

In plain words
What is it for?
Use it for web and Playwright tests, Flutter apps on devices or emulators, smoke checks, regression checks, screenshots, and video evidence.
Why use it?
It helps verify that a user flow works in the actual interface and provides evidence for visual or device-specific results.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Install

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.

agentmods
npx agentmods add skills/sgaabdu4/hard-eng/e2e
Any agent
npx skills add sgaabdu4/hard-eng --skill e2e
Clone the repo
git clone --depth 1 https://github.com/sgaabdu4/hard-eng

Made for: Codex.

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/sgaabdu4/hard-eng/e2e.svg)](https://agentmods.dev/skills/sgaabdu4/hard-eng/e2e)
Your own site
<a href="https://agentmods.dev/skills/sgaabdu4/hard-eng/e2e"><img src="https://agentmods.dev/badge/skills/sgaabdu4/hard-eng/e2e.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 495 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00036 $0.00495
Opus 5 $0.00018 $0.00247
Sonnet 5 $0.00007 $0.00099
Haiku 4.5 $0.00004 $0.00049

Measured 6d ago against content hash 264f5c265c4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/visual_evidence_regression_check.py, scripts/visual_evidence.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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 · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

E2E

Contract

  • Input = accepted behavior + runnable environment + target evidence mode.
  • Evidence classes = automated assertions + persisted state + deployment + visual artifacts; independent status per class.
  • Execute through real browser/device UI; exploratory control may discover the path.
  • Durable regression = existing project E2E runner + conventions.
  • Product defect → preserve reproduction/evidence; fix only when requested.
  • Commands + hooks + CI → deterministic-checks; assertion strength → test-quality.
  • Requested/produced screenshot or video → load visual-evidence.md + validate its receipt.
  • Media inspection = isolated reader scope; main context = receipt + path + sha256 + verdict only; raw media bytes in main context forbidden.
  • Proof media = local + display to user; stage/commit only when explicitly accepted as a product asset.

Route

Target Load
Web + Playwright playwright.md
Flutter device/emulator flutter.md; Riverpod app also → building-flutter-apps
Other stack Existing project runner/docs; absent owner → report gap
Evidence mode Required proof
Smoke/regression User path + assertions + result; failure → diagnostic artifacts
UI review Existing UI prototype → accepted requirements + real before screen + production render + comparable final state; new UI → accepted reference/mockup + final states
Audit/demo Video only when requested or necessary to prove temporal behavior
  • Load only matching target reference; combine modes when requested.
  • Missing environment/account/data/permission → exact blocker; never fabricate pass evidence.

Proof

Result Evidence
PASS Every required evidence class independently PASS
CONCERNS Partial surface + exact unproven behavior + next proof
FAIL Reproduction step + expected/actual + failure artifacts
  • Artifact = smallest useful set; redact secrets + personal data.
  • PASS requires visible outcome + durable state/source-of-truth evidence when behavior persists data.

Read the full file on GitHub · 47 lines

Files

What ships with it

7 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. 6d ago First seen · 47 lines · 36 tokens per session scan A 264f5c265c4d

Subscribe to this mod's changes

e2e is a skill published in the GitHub repository sgaabdu4/hard-eng (5 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 495 once invoked, about $0.0002 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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