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/alleneubank/claude-code/e2enpx skills add alleneubank/claude-code --skill e2egit clone --depth 1 https://github.com/alleneubank/claude-codeWhat 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 | $0.00042 | $0.00910 |
| Opus 5 | $0.00021 | $0.00455 |
| Sonnet 5 | $0.00008 | $0.00182 |
| Haiku 4.5 | $0.00004 | $0.00091 |
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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- e2e — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E2E Testing
Failure Taxonomy
Every e2e failure is exactly one of:
A. Flaky (test infrastructure issue)
- Race conditions, timing-dependent assertions, stale selectors, missing waits
- Symptom: passes on retry, fails intermittently
B. Outdated (test no longer matches implementation)
- Test asserts old behavior that was intentionally changed; selectors reference removed elements
- Symptom: consistent failure, app works correctly
C. Bug (implementation doesn't match spec)
- Test correctly asserts spec'd behavior, code is wrong
- Only classify as bug when a spec exists to validate against
- If no spec exists, classify as "unverified failure" and report to the user
Fix Rules by Category
Flaky fixes:
- Replace
waitForTimeoutwith auto-waiting locators - Replace brittle CSS selectors with
getByRole/getByLabel/getByTestId - Fix race conditions with
expect()web-first assertions - Fix mock/route setup ordering (before navigation)
- Never add arbitrary delays - fix the underlying wait
- Never add retry loops around assertions - use the framework's built-in retry
Outdated fixes:
- Update test assertions to match current (correct) behavior
- Update selectors to match current DOM/API
- Never change source code - the implementation is correct, the test is stale
Bug fixes:
- Quote the spec section that defines expected behavior
- Fix the source code to match the spec
- Unit tests MUST exist before the fix is complete — write them first if missing (TDD)
- Never change e2e assertions to match buggy code
- Never change API contracts or interfaces without spec backing
- If no spec exists, ask the user: bug or outdated test?
Source Code Boundary
E2e test fixes must not change application logic, API contracts, database schemas, or configuration defaults. The only exception: bug fixes where a spec explicitly defines the correct behavior and unit tests cover the fix.
Workflow
Step 1: Discover Test Infrastructure
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.
- 2d ago First seen · 106 lines · 42 tokens per session scan A be85925d2f68
e2e is a skill published in the GitHub repository alleneubank/claude-code (52 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 910 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.