Borrowing it
Nothing to install: this file belongs to dotnet-presentations/ai-workshop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dotnet-presentations/ai-workshop/main/.github/instructions/workshop-content.instructions.mdgit clone --depth 1 https://github.com/dotnet-presentations/ai-workshopWrote 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/instructions/dotnet-presentations/ai-workshop/workshop-content)<a href="https://agentmods.dev/instructions/dotnet-presentations/ai-workshop/workshop-content"><img src="https://agentmods.dev/badge/instructions/dotnet-presentations/ai-workshop/workshop-content/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/instructions/dotnet-presentations/ai-workshop/workshop-content"><img src="https://agentmods.dev/badge/instructions/dotnet-presentations/ai-workshop/workshop-content.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 | $0.00258 | $0.00258 |
| Opus 5.5 | $0.00103 | $0.00103 |
| Sonnet 5.5 | $0.00052 | $0.00052 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
ai-workshop workshop-content.instructions.md 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 1mo 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.
What it actually says
Workshop content
- Write for an attendee following the lab in order. Use plain, direct prose and make commands runnable as written.
- Use zero-padded folder names in paths (
Part 02 - ...) and unpadded part names in prose and headings (Part 2). - Check the root
README.mdbefore changing part names, ordering, duration, or prerequisites. Keep its schedule aligned with meaningful pacing changes. - When instructions create or modify a committed sample, update the corresponding snapshot in the same change. When snapshot behavior changes, update the README that teaches it.
- Keep instructor-only rationale in
docs/instructor/; attendee READMEs should contain only what attendees need to complete and understand the lab. - Validate changed Markdown using the commands and configuration in
.github/workflows/markdownlint.ymland.github/workflows/link-check.yml. - Use the
workshop-testingskill for a literal attendee walkthrough, snapshot reconciliation, or a workshop test report.
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.
- 1mo ago First seen · 23 lines · 258 tokens per session scan A 914b2b8dbfae
ai-workshop workshop-content.instructions.md is an instructions file published in the GitHub repository dotnet-presentations/ai-workshop (62 stars, last pushed 4d ago), licensed MIT. It adds 258 tokens to every session, about $0.0010 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 2026-09-08.
ai-workshop workshop-content.instructions.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
| ai-workshop workshop-content.instructions.mddotnet-presentations/ai-workshop | Instructions file | 62 | 4d ago | MIT | A | 258 | GitHub Copilot |
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