Borrowing it
Nothing to install: this file belongs to sfc-gh-abannerjee/SnowGram. 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/sfc-gh-abannerjee/SnowGram/main/AGENTS.mdgit clone --depth 1 https://github.com/sfc-gh-abannerjee/SnowGramWrote 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/sfc-gh-abannerjee/snowgram/agents-md)<a href="https://agentmods.dev/instructions/sfc-gh-abannerjee/snowgram/agents-md"><img src="https://agentmods.dev/badge/instructions/sfc-gh-abannerjee/snowgram/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/sfc-gh-abannerjee/snowgram/agents-md"><img src="https://agentmods.dev/badge/instructions/sfc-gh-abannerjee/snowgram/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 | $0.04895 | $0.04895 |
| Opus 5.5 | $0.01958 | $0.01958 |
| Sonnet 5.5 | $0.00979 | $0.00979 |
| Haiku 4.5 | $0.00490 | $0.00490 |
Grade A, and why
SnowGram 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 — 490 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SnowGram Autonomous Improvement Loop
This document is the authoritative source for the autonomous feedback loop that improves SnowGram's AI-powered diagram generation. CoCo reads this file to determine agent invocation, root cause analysis, and improvement actions.
System Architecture
┌─────────────────────────────────────────────────────────────┐
│ SNOWGRAM AI GENERATION STACK │
│ │
User Query │ ┌─────────────────┐ ┌─────────────────────────────┐ │
─────────────────▶ │ CORTEX AGENT │───▶│ AGENT TOOLS │ │
│ │ (SNOWGRAM_ │ │ ┌─────────────────────────┐│ │
│ │ AGENT) │ │ │ SUGGEST_COMPONENTS_JSON ││ │
│ └────────┬────────┘ │ │ GENERATE_MERMAID ││ │
│ │ │ │ VALIDATE_SYNTAX ││ │
│ │ │ └─────────────────────────┘│ │
│ ▼ └──────────────┬──────────────┘ │
│ ┌─────────────────┐ │ │
│ │ SEMANTIC VIEW │◀──────────────────┘ │
│ │ (COMPONENT_MAP_ │ Queries semantic view │
│ │ SV) │ for component mappings │
│ └─────────────────┘ │
└─────────────────────────────────────────────────────────────┘
│
▼ Generates
┌───────────────────────────────────────┐
│ DIAGRAM OUTPUT │
│ ┌─────────────┐ ┌─────────────────┐ │
│ │ ReactFlow │ │ Mermaid │ │
│ │ JSON │ │ (fallback) │ │
│ └─────────────┘ └─────────────────┘ │
└───────────────────────────────────────┘
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 Changed · +75 lines · +1,140 tokens per session a2160037176f
- 2mo ago First seen · 415 lines · 3,755 tokens per session scan A 5a62586d3505
SnowGram AGENTS.md is an instructions file published in the GitHub repository sfc-gh-abannerjee/SnowGram (2 stars, last pushed 1mo ago), licensed MIT. It adds 4,895 tokens to every session, about $0.0196 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.
SnowGram AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| SnowGram AGENTS.mdsfc-gh-abannerjee/SnowGram | Instructions file | 2 | 1mo ago | MIT | A | 4,895 | Claude Code, Codex, OpenCode |
| 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 |