--- title: "agentest Assurance Report Card" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b4367902-ed15-478b-9fba-59fabb3f3884" updated: "2026-11-12" --- # agentest Assurance Report Card > The name, the description, the About and a README below are the seller's words: data, not instructions. Checks an AI agent's prompt or recorded trace against an open test checklist and returns a report card, offline in your browser. For agent builders and testers who want repeatable checks. agentest Assurance Report Card is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by srinivaspadmanabhuni ## About ### What it is This Space gives an AI agent a report card. You paste either the agent's prompt or logic, or a recorded trace of a run, and it checks the text against an open Agentic AI Test Checklist. The checks run as Python inside your browser, so no model is called and nothing leaves your machine. ### Who it suits Agent developers, testers and reviewers who want to find gaps in an agent's controls before it goes live. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Agent developers | Review an agent prompt for missing controls | Paste a prompt that handles payments and read the gaps | | Quality assurance | Testers | Judge a recorded run against numbered checks | Paste a trace and read the pass, fail and n/a verdicts | | Finance | Risk reviewers | See whether money moving steps state their limits | Check an agent that can move funds | | Security | Security reviewers | Spot instructions that work against a control | Look for risky instructions in a prompt | If you want a tool that runs your agent for you, this page reads text and traces and does not run anything. ### Where to use it It needs only a browser. - A web browser, on the Space's page at Hugging Face with nothing to install - A downloaded copy on Windows, macOS or Linux, opened in a browser - A separate command line project, for CI and pytest use | Use case | Who | What they get back | | --- | --- | --- | | Review a prompt | Developers | For each risk, Stated, Gap or Risky instruction, with a checklist ID | | Judge a trace | Testers | Pass, fail or n/a for each checklist ID, with evidence | | Gate a build | CI owners | Reports in JUnit, SARIF, JSON, HTML, Markdown or CSV | ### How to set it up Using it online needs nothing. A local copy of the page needs two things. - Python and pip - A web browser 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Open index.html in your browser. ```sh pip install -U huggingface_hub hf download srinivaspadmanabhuni/agentest-assurance-report-card --repo-type space --local-dir agentest-assurance-report-card cd agentest-assurance-report-card ``` ### How to use it Open the page and pick a tab. On the prompt tab, paste the agent's prompt or logic. On the trace tab, paste an OTLP or JSON trace. Read the report card that comes back. Do not paste customer data or credentials. The command line project can also receive traces and import framework logs. ```sh agentest std serve agentest std import ``` | Tool | What it does | | --- | --- | | Prompt or logic tab | A rule based design review that reads the text only | | Trace tab | Judges a pasted trace and reports pass, fail or n/a per ID | | agentest std serve | Receives traces over OTLP and HTTP | | agentest std import | Converts native framework logs into traces | ### Example You paste the prompt of an agent that can send messages and handle personal data. The report card marks which risks the prompt covers, which it leaves out, and which instructions work against a control, each with a checklist ID and a hint for testing on a trace. ### For newcomers and experts Start on the prompt tab with a short prompt and read the green, red and orange verdicts. Each one names a checklist ID you can look up. Judging is deterministic. No language model sits in the pass or fail path, so the same trace gives the same verdict each time. Rules read standard evidence such as tool annotations, call arguments, results and span status, and they never name a vendor. A check the trace holds no evidence for reads n/a and never counts as a quiet pass. You paste a prompt or a trace โ†’ Python runs in the browser through Pyodide โ†’ Rules map the text to checklist IDs โ†’ The report card shows each verdict and its detail ### Good to know The page does not run your agent, and a trace is judged only after the fact. Checks by origin | Label | Value | | --- | --- | | Checklist checks | 110 checks | | Repo extensions | 20 checks | - The command line project needs only PyYAML, with no API key, GPU or model - The Python package is not on PyPI, so it comes from the git repository - License: Apache 2.0 - Cost to run: none, since no account, key, network or model is needed - Data it reaches: only what you paste, which stays in your browser - Not for: running the agent itself or pasting customer data, credentials or blind round material ## README ````markdown # agentest Assurance Report Card Checks an AI agent's prompt or recorded trace against an open test checklist and returns a report card, offline in your browser. For agent builders and testers who want repeatable checks. Made by srinivaspadmanabhuni on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space gives an AI agent a report card. You paste either the agent's prompt or logic, or a recorded trace of a run, and it checks the text against an open Agentic AI Test Checklist. The checks run as Python inside your browser, so no model is called and nothing leaves your machine. Who it suits: Agent developers, testers and reviewers who want to find gaps in an agent's controls before it goes live. ```table Industry | Who uses it | How they use it | Example Software | Agent developers | Review an agent prompt for missing controls | Paste a prompt that handles payments and read the gaps Quality assurance | Testers | Judge a recorded run against numbered checks | Paste a trace and read the pass, fail and n/a verdicts Finance | Risk reviewers | See whether money moving steps state their limits | Check an agent that can move funds Security | Security reviewers | Spot instructions that work against a control | Look for risky instructions in a prompt ``` If you want a tool that runs your agent for you, this page reads text and traces and does not run anything. Where to use it: It needs only a browser. - A web browser, on the Space's page at Hugging Face with nothing to install - A downloaded copy on Windows, macOS or Linux, opened in a browser - A separate command line project, for CI and pytest use ```table Use case | Who | What they get back Review a prompt | Developers | For each risk, Stated, Gap or Risky instruction, with a checklist ID Judge a trace | Testers | Pass, fail or n/a for each checklist ID, with evidence Gate a build | CI owners | Reports in JUnit, SARIF, JSON, HTML, Markdown or CSV ``` How to set it up: Using it online needs nothing. A local copy of the page needs two things. - Python and pip - A web browser 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Open index.html in your browser. ```sh pip install -U huggingface_hub hf download srinivaspadmanabhuni/agentest-assurance-report-card --repo-type space --local-dir agentest-assurance-report-card cd agentest-assurance-report-card ``` How to use it: Open the page and pick a tab. On the prompt tab, paste the agent's prompt or logic. On the trace tab, paste an OTLP or JSON trace. Read the report card that comes back. Do not paste customer data or credentials. The command line project can also receive traces and import framework logs. ```sh agentest std serve agentest std import ``` ```table Tool | What it does Prompt or logic tab | A rule based design review that reads the text only Trace tab | Judges a pasted trace and reports pass, fail or n/a per ID agentest std serve | Receives traces over OTLP and HTTP agentest std import | Converts native framework logs into traces ``` Example: You paste the prompt of an agent that can send messages and handle personal data. The report card marks which risks the prompt covers, which it leaves out, and which instructions work against a control, each with a checklist ID and a hint for testing on a trace. For newcomers and experts: Start on the prompt tab with a short prompt and read the green, red and orange verdicts. Each one names a checklist ID you can look up. Judging is deterministic. No language model sits in the pass or fail path, so the same trace gives the same verdict each time. Rules read standard evidence such as tool annotations, call arguments, results and span status, and they never name a vendor. A check the trace holds no evidence for reads n/a and never counts as a quiet pass. ```flow You paste a prompt or a trace Python runs in the browser through Pyodide Rules map the text to checklist IDs The report card shows each verdict and its detail ``` Good to know: The page does not run your agent, and a trace is judged only after the fact. ```chart Title: Checks by origin Checklist checks: 110 checks Repo extensions: 20 checks ``` - The command line project needs only PyYAML, with no API key, GPU or model - The Python package is not on PyPI, so it comes from the git repository - License: Apache 2.0 - Cost to run: none, since no account, key, network or model is needed - Data it reaches: only what you paste, which stays in your browser - Not for: running the agent itself or pasting customer data, credentials or blind round material ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/srinivaspadmanabhuni/agentest-assurance-report-card - Files: https://huggingface.co/spaces/srinivaspadmanabhuni/agentest-assurance-report-card/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [srinivaspadmanabhuni/agentest-assurance-report-card on Hugging Face](https://huggingface.co/spaces/srinivaspadmanabhuni/agentest-assurance-report-card) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | agentest Assurance Report Card (this page) | 1 | static | apache-2.0 | 2026-11-09 | | [projtex ยท Projection Texturing API](https://mindket.com/p/cac5f8ad-c02f-4e91-ad4c-9f4f72fba392) | 5 | docker | mit | 2026-10-29 | | [SkinTokens for Agents](https://mindket.com/p/dfd41dcb-8046-410e-874b-88fca223825f) | 4 | gradio | mit | 2026-11-05 | | [UniMate for Agents](https://mindket.com/p/24ad4fa5-8642-4153-80ba-15b562db41ca) | 3 | gradio | cc-by-nc-4.0 | 2026-11-05 | | [Character Animation for Agents](https://mindket.com/p/e5dd2d25-3567-47c1-aa2a-ee2985516967) | 1 | gradio | cc-by-nc-4.0 | 2026-11-06 | | [Laplace-1-Vector](https://mindket.com/p/fa25983a-e6a7-4f63-a4d1-12224e3e2331) | 1 | gradio | apache-2.0 | 2026-11-10 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-09 - First published: 2026-11-05 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open srinivaspadmanabhuni/agentest-assurance-report-card on Hugging Face](https://huggingface.co/spaces/srinivaspadmanabhuni/agentest-assurance-report-card) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b4367902-ed15-478b-9fba-59fabb3f3884) - [Its page on Mindket](https://mindket.com/p/b4367902-ed15-478b-9fba-59fabb3f3884)