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Three free browser-based scorecards offer quick ways to triage an AI agent configuration, a cloud billing export, or an observability setup using pasted text. Their author says the tools process that text locally rather than uploading it. That is an attributed privacy claim—not an independently verified security guarantee—so you can inspect browser network activity before using sensitive material.
Arup Kumar Banerjee describes the tools in a September 30, 2026 DEV Community article. Each is intended to help answer a practical question: what should you inspect first? The scorecards use heuristics, not comprehensive audits, and they are presented as separate utilities for different technical inputs.
Which scorecard fits your input?
| Tool | What you paste | Examples of checks described by the author | Account connection |
|---|---|---|---|
| Agent Health Checker | JSON, YAML, or plain text describing an AI agent configuration | Retries and backoff, timeouts, tracing hooks, secrets in configuration, tool-auth notes, injection-prone tool sinks, evaluations or tests, and a single LLM without fallback | Not stated in the article |
| Cloud Bill Smell Detector | A cost CSV, invoice export, or billing JSON exported from your account | Idle-looking line items, missing tags, and transfer-heavy patterns | The author says it does not connect to AWS, GCP, or Azure; you paste an export instead |
| Observability Gap Finder | OpenTelemetry, Prometheus, or Splunk-style snippets, or service-inventory YAML | Missing service-level indicators, services without tracing, and absent cardinality guards | Not stated in the article |
The listed inputs and checks are the author’s descriptions; the linked application pages were not independently verified. The cloud scorecard is explicitly described as paste-only rather than an account integration.
What the scores can—and cannot—tell you
These tools are triage aids, not proof that a system is safe, reliable, or correctly configured. The author calls them “prioritization aids, not audit stamps.” A flagged item may be a false positive, while an unflagged configuration may still contain a problem the heuristic does not detect.
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Use a result to decide what to inspect next: review the actual configuration and code, check production telemetry, examine cloud-account data where relevant, or arrange a proper security assessment. Do not treat a score as a substitute for those checks.
How to check whether pasted text triggers network requests
The author says the tools process input locally in the browser and recommends checking requests yourself. Static hosting and public source availability, also mentioned in the article, do not by themselves establish what a deployed page sends while it runs.
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- Open the tool page, then open your browser’s Developer Tools.
- Select the Network tab and clear existing requests so the next activity is easier to review.
- Paste a non-sensitive sample and run a scorecard.
- Inspect the requests generated during that action. Look for unexpected transmissions or request payloads that appear to contain the pasted text.
This is a practical spot-check, not a formal security audit. Avoid pasting secrets or sensitive customer data unless you have established that the specific page and deployment meet your requirements.
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Banerjee’s article says the tools are hosted on GitHub Pages and links a public source repository. Those details may help a technically capable reader inspect the implementation, but they do not independently verify the behavior of the live pages. The article’s privacy description should therefore be read as the author’s claim, with network inspection available as one way to check runtime requests.
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