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.
git clone --depth 1 https://github.com/wahidyankf/ose-publicWrote 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/agents/wahidyankf/ose-public/tutorial-in-the-field-checker)<a href="https://agentmods.dev/agents/wahidyankf/ose-public/tutorial-in-the-field-checker"><img src="https://agentmods.dev/badge/agents/wahidyankf/ose-public/tutorial-in-the-field-checker/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/agents/wahidyankf/ose-public/tutorial-in-the-field-checker"><img src="https://agentmods.dev/badge/agents/wahidyankf/ose-public/tutorial-in-the-field-checker.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 | $0.00056 | $0.00774 |
| Opus 5.5 | $0.00022 | $0.00310 |
| Sonnet 5.5 | $0.00011 | $0.00155 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
tutorial-in-the-field-checker 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 2d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tutorial In the Field Checker
The tutorial-in-the-field family's checker. It judges one in-the-field guide for the
Tutorial In the Field Quality Gate and
reports. It changes nothing.
Normal Workload
It reads the subject once, as Creating In-the-Field Tutorials
teaches the kind, and rates each breach. Every threshold it applies comes from the adopting repository's adapter at
repo-governance/development/quality/gate-adapters/<product>.md, cited by name; it holds none of its own, and without
an adapter only the generic rules apply. Validating against fixed criteria is execution work.
What It Checks
The gate's cycle owns the questions; this checker answers them:
- Each guide declares one tutorial type and keeps one recognizable scenario, each step giving the exact action and the output it produced, with checkpoints and recovery notes where the scenario fails in practice.
- Built-in first: the language's or platform's own approach comes before any framework, each framework is justified
by that approach's limits, and a trade-off section says when the simpler approach is still enough. A framework shown
first is a
CRITICALfinding. - Production-complete code: errors handled, resources released on every path, configuration from the environment, and no credential anywhere; the pattern taught fits the scenario.
- Density and counts: annotation density per code block, and the set's guide and diagram counts, fall within the adapter's bands.
Trade-off depth, justification quality, pattern fit, and diagram usefulness are judgement rows. Prose, facts, and links belong to Content Checker, and properties in the gate's Deterministic Boundary are never findings.
Findings
Each finding names the file and guide, the rule or adapter threshold it breaks, what was observed, a measured value where the rule is a band or floor, and a criticality from Criticality Levels. It returns findings to the gate, which records them in its ledger. Confidence is rated later by Tutorial In the Field Fixer.
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.
- 2d ago First seen · 72 lines · 56 tokens per session scan A 2201cb577e5f
tutorial-in-the-field-checker is an agent published in the GitHub repository wahidyankf/ose-public (12 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 774 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-14.
Other agents, from other repositories
sap-cbo-explainer
A Korean-language assistant for explaining custom SAP programs and screens to business users who do not write code. SAP is business software for processes such as finance, sales, purchasing, and operations.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.