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/snapshot-code.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/snapshot-code)<a href="https://agentmods.dev/instructions/dotnet-presentations/ai-workshop/snapshot-code"><img src="https://agentmods.dev/badge/instructions/dotnet-presentations/ai-workshop/snapshot-code/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/snapshot-code"><img src="https://agentmods.dev/badge/instructions/dotnet-presentations/ai-workshop/snapshot-code.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 | $0.00360 | $0.00360 |
| Opus 5.5 | $0.00144 | $0.00144 |
| Sonnet 5.5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
ai-workshop snapshot-code.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 code snapshots
- Treat each snapshot as the result of following its lab README, not as an independent sample. Keep commands, package references, configuration names, source code, and observable behavior aligned in both directions.
- Preserve the workshop's scaffold-first flow. Projects taught as generated must
begin with the documented
dotnet newcommand; record required package updates as explicit attendee steps. - Read the affected project files and
docs/instructor/DEPENDENCY_POLICY.mdbefore changing package versions. Preserve security overrides, compatibility boundaries, coordinated sets, and cross-project consistency documented by the surrounding lab. - Store credentials in user secrets or the configuration mechanism taught by the
lab. Never add real endpoints, keys, generated
.azure/state, or deployment output to a snapshot. - Do not commit
bin/,obj/,.vs/, orTestResults/directories. - Build every affected target in Release and treat warnings as regressions. Use
.github/workflows/dotnet-build.ymlfor the authoritative SDK and target list. - Use the
workshop-testingskill when the task requires reproducing a snapshot from the README or validating the lab as an attendee.
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 · 26 lines · 360 tokens per session scan A 8938af37db76
ai-workshop snapshot-code.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 360 tokens to every session, about $0.0014 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 snapshot-code.instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-workshop snapshot-code.instructions.mddotnet-presentations/ai-workshop | Instructions file | 62 | 4d ago | MIT | A | 360 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |