Borrowing it
Nothing to install: this file belongs to atharva-again/samvaad. 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/atharva-again/samvaad/main/AGENTS.mdgit clone --depth 1 https://github.com/atharva-again/samvaadWrote 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/atharva-again/samvaad/agents-md)<a href="https://agentmods.dev/instructions/atharva-again/samvaad/agents-md"><img src="https://agentmods.dev/badge/instructions/atharva-again/samvaad/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/atharva-again/samvaad/agents-md"><img src="https://agentmods.dev/badge/instructions/atharva-again/samvaad/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 | $0.00756 | $0.00756 |
| Opus 5.5 | $0.00302 | $0.00302 |
| Sonnet 5.5 | $0.00151 | $0.00151 |
| Haiku 4.5 | $0.00076 | $0.00076 |
Grade A, and why
samvaad 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 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PROJECT KNOWLEDGE BASE
Generated: 2026-01-12T17:12:56Z Commit: 5b9b2c1 Branch: docs/update
OVERVIEW
Samvaad is a full-stack RAG (Retrieval-Augmented Generation) application with voice and text modes. The backend is built with FastAPI and Python, while the frontend is a Next.js application.
STRUCTURE
.
├── samvaad/ # Core backend logic (FastAPI, Pipeline, DB)
│ ├── api/ # API routes and entry points
│ ├── core/ # Authentication, memory, and shared logic
│ ├── db/ # Database models and services (Supabase/PostgreSQL)
│ ├── pipeline/ # RAG pipeline (Ingestion, Retrieval, Deletion)
│ ├── prompts/ # AI persona and mode definitions
│ └── utils/ # Citations, text processing, and hashing utilities
├── frontend/ # Next.js/React frontend application
├── tests/ # Unit and integration test suites
├── data/ # Document storage and local data
└── PLANS/ # Project roadmap and technical designs
WHERE TO LOOK
| Task | Location | Notes |
|---|---|---|
| API Endpoints | samvaad/api/main.py |
FastAPI app definition |
| Database Ops | samvaad/db/service.py |
Core DB service logic |
| AI Prompting | samvaad/prompts/ |
Persona and style definitions |
| RAG Pipeline | samvaad/pipeline/ |
Document ingestion and retrieval |
| UI Components | frontend/components/ |
React components |
| Auth Logic | samvaad/core/auth.py |
Backend authentication |
CODE MAP
| Symbol | Type | Location | Role |
|---|---|---|---|
app |
Variable | samvaad/api/main.py |
FastAPI application |
DBService |
Class | samvaad/db/service.py |
Primary database interface |
TextMessageRequest |
Class | samvaad/api/main.py |
Schema for text chat requests |
VoiceModeRequest |
Class | samvaad/api/main.py |
Schema for voice session setup |
CONVENTIONS
- Python: Uses
uvfor dependency management. Strict typing withmypy. - Formatting:
Black(88 char) for Python,Biomefor Frontend. - Linting:
Rufffor Python,ESLintandBiomefor Frontend. - Testing:
pytestfor backend unit and integration tests.
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 · 71 lines · 756 tokens per session scan A c2d1209e12f0
samvaad AGENTS.md is an instructions file published in the GitHub repository atharva-again/samvaad (2 stars, last pushed 6mo ago), licensed MIT. It adds 756 tokens to every session, about $0.0030 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.
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