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 maestro-analyzegit 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/maestro-analyze)<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/maestro-analyze"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/maestro-analyze/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/maestro-analyze"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/maestro-analyze.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 | $0.00068 | $0.01556 |
| Opus 5 | $0.00034 | $0.00778 |
| Sonnet 5 | $0.00014 | $0.00311 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
maestro-analyze 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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
maestro-analyze - Maestro Failure Analysis
Analyze Maestro flow failures with step reconstruction, code correlation, selector validation, and pattern matching.
Usage
/maestro-analyze # Analyze last run (from maestro-run-result.yaml)
/maestro-analyze <flow> # Analyze specific flow
Analysis Steps
Step 1: Load Last Run
cat apps/mobile/maestro-run-result.yaml
If no result file exists, prompt user to run /maestro-run first.
Step 2: For Each Failure, Reconstruct Flow Steps
Read the failing YAML flow and the Maestro output to reconstruct what happened:
failure_timeline:
flow: "auth/login.yaml"
steps:
- step: "launchApp (clearState: true)"
status: "ok"
- step: "waitForAnimationToEnd"
status: "ok"
- step: "tapOn: 'Email'"
status: "ok"
- step: "inputText: ${TEST_EMAIL}"
status: "ok"
- step: "tapOn: 'Sign In'"
status: "timeout"
error: "Element 'Sign In' not found after 5000ms"
app_state:
screen: "login"
visible_elements: ["Email field", "Password field", "Log In button"]
Step 3: Code Correlation
For each failure, correlate with app source code:
code_correlation:
failing_selector: "Sign In"
selector_type: "text"
search_results:
- query: "grep -r 'Sign In' apps/mobile/app/"
found: false
- query: "grep -r 'Log In' apps/mobile/app/"
found: true
file: "apps/mobile/app/(auth)/login.tsx"
line: 42
suggestion:
action: "flow-update"
description: "Button text is 'Log In', not 'Sign In'. Update flow selector."
confidence: 0.95
Correlation checks (in order):
- Text selectors — grep for the exact text in app source (
*.tsxfiles) - testID selectors — grep for the
testIDprop in components - Sub-flow references — verify shared flow paths are correct
- Environment variables — check if
${TEST_EMAIL}etc. are set - mockNetwork paths — verify API path regex matches actual tRPC endpoints
- Tab names — verify tab labels match i18n keys in
apps/mobile/i18n/en.json
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.
- 12d ago First seen · 205 lines · 68 tokens per session scan A 6e8016dfd9df
maestro-analyze is a skill published in the GitHub repository parisgroup-ai/imersao-ia-setup (1 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 1,556 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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