e2e-fix-cycle

e2e-fix-cycle is a skill for Claude Code from parisgroup-ai/imersao-ia-setup. It costs 57 tokens per session (1,256 once invoked), scanned A, original, MIT.

An automated loop that runs end-to-end tests—tests that exercise the application as a user would—groups failures, applies fixes, and runs the tests again.

In plain words
What is it for?
Use it to run a full test-fix cycle for a target such as an administration test suite, within its configured limits and approval rules.
Why use it?
It reduces the manual work of repeating test runs and investigating similar failures one by one.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the imersao plugin — 51 skills, 7 commands shipped together

Good fit Use it to run a full test-fix cycle for a target such as an administration test suite, within its configured limits and approval rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/parisgroup-ai/imersao-ia-setup/e2e-fix-cycle
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.

Any agent
npx skills add parisgroup-ai/imersao-ia-setup --skill e2e-fix-cycle
Clone the repo
git clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setup

Made for: Claude Code.

Or install imersao, the plugin that ships this one along with the rest of its 51 skills, 7 commands.

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-fix-cycle

README.md
[![agentmods](https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/e2e-fix-cycle/github.svg)](https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/e2e-fix-cycle)
Your own site
<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/e2e-fix-cycle"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/e2e-fix-cycle/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-fix-cycle

Your own site · 80×15
<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/e2e-fix-cycle"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/e2e-fix-cycle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,256 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.
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 $0.00057 $0.01256
Opus 5 $0.00028 $0.00628
Sonnet 5 $0.00011 $0.00251
Haiku 4.5 $0.00006 $0.00126

Measured 12d ago against content hash b2a718b811a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

e2e-fix-cycle 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 12d 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.

plugins/imersao/skills/e2e-fix-cycle/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

e2e-fix-cycle - Automated Test-Fix Loop

Orchestrates e2e-run → e2e-analyze → fix → repeat until all tests pass.

Usage

/e2e-fix-cycle <target>     # Full cycle for target
/e2e-fix-cycle admin-tests  # Fix all admin test failures

Configuration

limits:
  max_iterations: 5
  max_auto_fixes_per_batch: 10

require_approval:
  - code-create      # Creating new files
  - schema-change    # Database changes
  - seed-update      # Test data changes

auto_approve:
  - test-update      # Updating test code
  - wait-strategy    # Changing wait patterns

Cycle Flow

┌─────────────────────────────────────────────────────────────┐
│  ITERATION 1                                                │
├─────────────────────────────────────────────────────────────┤
│  1. /e2e-run admin-tests                                    │
│     → 7 failures                                            │
│                                                             │
│  2. /e2e-analyze                                            │
│     → 2 batches: wrong-route(2), timeout-403(5)            │
│                                                             │
│  3. FIX BATCH 1: wrong-route (auto-approve)                │
│     → Edit creator-detail.spec.ts                          │
│     → Replace /admin/creators with /admin/moderation/creators│
│                                                             │
│  4. VERIFY BATCH 1                                          │
│     /e2e-run -g "creator-detail" --project=admin-tests     │
│     → 2 tests now pass                                      │
│                                                             │
│  5. FIX BATCH 2: timeout-403 (auto-approve)                │
│     → Edit permission-boundaries.spec.ts                    │
│     → Replace networkidle with domcontentloaded            │
│                                                             │
│  6. VERIFY BATCH 2                                          │
│     /e2e-run -g "permission-boundaries" --project=admin-tests│
│     → 5 tests now pass                                      │
│                                                             │
│  7. FULL VERIFICATION                                       │
│     /e2e-run admin-tests                                    │
│     → 212 passed, 0 failed ✅                               │
│                                                             │
│  8. LOG RESOLUTIONS                                         │
│     → Append to .e2e-history/resolutions.jsonl             │
│                                                             │
│  9. COMMIT                                                  │
│     git commit -m "fix(e2e): resolve admin test failures"  │
└─────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 169 lines

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. 12d ago First seen · 169 lines · 57 tokens per session scan A b2a718b811a2

Subscribe to this mod's changes

e2e-fix-cycle is a skill published in the GitHub repository parisgroup-ai/imersao-ia-setup (1 stars, last pushed 29d ago), licensed MIT. It adds 57 tokens to every session and 1,256 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 2026-08-31.

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