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 skills add parisgroup-ai/imersao-ia-setup --skill e2e-rungit clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setupWrote 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/parisgroup-ai/imersao-ia-setup/e2e-run)<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/e2e-run"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/e2e-run/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.
<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/e2e-run"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/e2e-run.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00053 | $0.00748 |
| Opus 5 | $0.00026 | $0.00374 |
| Sonnet 5 | $0.00011 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
e2e-run 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 11d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
e2e-run - Smart E2E Test Runner
Run E2E tests with automatic project detection and optimized wait strategies.
Usage
/e2e-run <target> # Run tests for target
/e2e-run admin-tests # Exact project match
/e2e-run admin # Fuzzy match → admin-tests
/e2e-run creator-detail # File match → detects project from path
Project Auto-Detection
Read apps/web/e2e/e2e-projects.json to detect the correct --project flag:
- Exact match: Input matches project name → use directly
- Alias match: Input matches an alias → resolve to project
- Path match: Input is a file/folder → find project by testMatch pattern
- Default: Use
chromiumfor unknown inputs
Execution Steps
Step 1: Detect Project
# Read config
cat apps/web/e2e/e2e-projects.json
Determine --project=<detected> based on input.
Step 2: Pre-flight Check
# Check DB connections (avoid pool exhaustion)
docker exec -i cursos-postgres psql -U postgres -c \
"SELECT count(*) FROM pg_stat_activity WHERE datname = 'cursos';" 2>/dev/null || echo "0"
If count > 80: docker restart cursos-postgres && sleep 5
Step 3: Execute Tests
pnpm test:e2e --project=<detected> --reporter=list 2>&1 | tee /tmp/e2e-run-output.txt
Step 4: Generate Structured Output
After execution, create apps/web/e2e-run-result.yaml:
executed_at: <ISO8601>
project: <detected>
target: <original-input>
duration_seconds: <time>
total: <count>
passed: <count>
failed: <count>
failures:
- test: "<file>:<line>"
title: "<test title>"
error_summary: "<first line of error>"
error_context: "<path to error-context.md>"
category: "<auto-detected category>"
Category Auto-Detection
Read apps/web/e2e/e2e-categories.json and match error patterns:
"page.goto: 404" → missing-route
"locator.click: timeout" → missing-element
"networkidle" + "403" → timeout-403
"response.toBeOK" → api-error
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.
- 11d ago First seen · 106 lines · 53 tokens per session scan A efa273789856
e2e-run is a skill published in the GitHub repository parisgroup-ai/imersao-ia-setup (1 stars, last pushed 29d ago), licensed MIT. It adds 53 tokens to every session and 748 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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