Borrowing it
Nothing to install: this file belongs to mandarwagh9/embedist. 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/mandarwagh9/embedist/main/AGENTS.mdgit clone --depth 1 https://github.com/mandarwagh9/embedistWrote 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/mandarwagh9/embedist/agents-md)<a href="https://agentmods.dev/instructions/mandarwagh9/embedist/agents-md"><img src="https://agentmods.dev/badge/instructions/mandarwagh9/embedist/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/mandarwagh9/embedist/agents-md"><img src="https://agentmods.dev/badge/instructions/mandarwagh9/embedist/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 | $0.00688 | $0.00688 |
| Opus 5.5 | $0.00275 | $0.00275 |
| Sonnet 5.5 | $0.00138 | $0.00138 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
embedist 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 2mo 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Embedist Agent Notes
Use this file as a high-signal quick ramp for this repo.
Scope and source of truth
- Work in
embedist/embedist(the parent folderembedist/is not the app root). - Trust executable config over docs when they differ (README version text can lag).
- Platform target is Windows desktop (Tauri 2 + React + TypeScript + Rust).
Commands that actually exist
- Root frontend scripts (
package.json):npm run dev,npm run build,npm run preview,npm run tauri. - There is no root
npm run lintornpm testscript. - Fast local verification:
npm run buildcargo clippy --manifest-path src-tauri/Cargo.toml
- Run app in dev:
npm run tauri dev - Build release artifacts:
npm run tauri build
Testing reality
- No automated test suite is present (
*.test.*,*.spec.*, andsrc-tauri/testsare absent). - Validation is build + clippy + manual app checks.
Architecture map (real entrypoints)
- Frontend entry:
src/main.tsx->src/App.tsx. - Backend entry:
src-tauri/src/main.rs->src-tauri/src/lib.rs. - Tauri commands are registered in
src-tauri/src/lib.rsand implemented insrc-tauri/src/commands/*.rs. - Prompt system is file-based:
src/lib/prompts/modes/*.mdloaded viasrc/lib/prompts/index.ts.
AI/tool-calling facts that matter
- Rust backend supports tool-enabled chat handlers for OpenAI, Anthropic, DeepSeek, and custom OpenAI-compatible endpoints (
src-tauri/src/commands/ai.rs). - Ollama and Google handlers are text/chat only in current backend implementation.
- Agent-mode tool execution is implemented in
src/hooks/useAgent.ts+src/lib/agent-tools.ts.
Rust and state gotchas
- For cloneable async shared process state, use
Arc<tokio::sync::Mutex<...>>(seeBuildStateinsrc-tauri/src/commands/platformio.rs). - Avoid
Option::is_none_or(...); use stable alternatives likeis_some_and(...). run_shellinsrc-tauri/src/commands/filesystem.rsrejects shell metacharacters; do not expect complex chained shell expressions through that command.
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.
- 2mo ago First seen · 59 lines · 688 tokens per session scan A 3bc9df49d3be
embedist AGENTS.md is an instructions file published in the GitHub repository mandarwagh9/embedist (47 stars, last pushed 5mo ago), licensed MIT. It adds 688 tokens to every session, about $0.0028 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 2026-08-30.
embedist AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| embedist AGENTS.mdmandarwagh9/embedist | Instructions file | 47 | 5mo ago | MIT | A | 688 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |