Borrowing it
Nothing to install: this file belongs to managedcode/GeminiSharpSDK. 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/managedcode/GeminiSharpSDK/main/AGENTS.mdgit clone --depth 1 https://github.com/managedcode/GeminiSharpSDKWrote 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/managedcode/geminisharpsdk/agents-md)<a href="https://agentmods.dev/instructions/managedcode/geminisharpsdk/agents-md"><img src="https://agentmods.dev/badge/instructions/managedcode/geminisharpsdk/agents-md/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/managedcode/geminisharpsdk/agents-md"><img src="https://agentmods.dev/badge/instructions/managedcode/geminisharpsdk/agents-md.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 | $0.04180 | $0.04180 |
| Opus 5.5 | $0.01672 | $0.01672 |
| Sonnet 5.5 | $0.00836 | $0.00836 |
| Haiku 4.5 | $0.00418 | $0.00418 |
Grade A, and why
GeminiSharpSDK AGENTS.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 13d 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project: ManagedCode.GeminiSharpSDK Stack: .NET 10, C# 14, TUnit, GitHub Actions, NativeAOT, NuGet, Gemini CLI integration
Follows MCAF
Conversations (Self-Learning)
Learn the user's habits, preferences, and working style. Extract rules from conversations, save to "## Rules to follow", and generate code according to the user's personal rules.
Update requirement (core mechanism):
Before doing ANY task, evaluate the latest user message.
If you detect a new rule, correction, preference, or change -> update AGENTS.md first.
Only after updating the file you may produce the task output.
If no new rule is detected -> do not update the file.
When to extract rules:
- prohibition words (never, don't, stop, avoid) or similar -> add NEVER rule
- requirement words (always, must, make sure, should) or similar -> add ALWAYS rule
- memory words (remember, keep in mind, note that) or similar -> add rule
- process words (the process is, the workflow is, we do it like) or similar -> add to workflow
- future words (from now on, going forward) or similar -> add permanent rule
Preferences -> add to Preferences section:
- positive (I like, I prefer, this is better) or similar -> Likes
- negative (I don't like, I hate, this is bad) or similar -> Dislikes
- comparison (prefer X over Y, use X instead of Y) or similar -> preference rule
Corrections -> update or add rule:
- error indication (this is wrong, incorrect, broken) or similar -> fix and add rule
- repetition frustration (don't do this again, you ignored, you missed) or similar -> emphatic rule
- manual fixes by user -> extract what changed and why
Strong signal (add IMMEDIATELY):
- swearing, frustration, anger, sarcasm -> critical rule
- ALL CAPS, excessive punctuation (!!!, ???) -> high priority
- same mistake twice -> permanent emphatic rule
- user undoes your changes -> understand why, prevent
Ignore (do NOT add):
- temporary scope (only for now, just this time, for this task) or similar
- one-off exceptions
- context-specific instructions for current task only
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.
- 13d ago Changed · +2 lines · +46 tokens per session 28462a7d7dc1
- 2mo ago First seen · 252 lines · 4,134 tokens per session scan A cbe8edcbb89f
GeminiSharpSDK AGENTS.md is an instructions file published in the GitHub repository managedcode/GeminiSharpSDK (2 stars, last pushed 2d ago), licensed MIT. It adds 4,180 tokens to every session, about $0.0167 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.