Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/sandraschi/streamfog-mcp/claude-mdgit clone --depth 1 https://github.com/sandraschi/streamfog-mcpWrote 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/sandraschi/streamfog-mcp/claude-md)<a href="https://agentmods.dev/instructions/sandraschi/streamfog-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/streamfog-mcp/claude-md.svg" alt="Measured on agentmods" 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 | $0.00195 | $0.00195 |
| Opus 5 | $0.00097 | $0.00097 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
streamfog-mcp CLAUDE.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 5d 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.
This is a copy
88% identical to tailscale-mcp CLAUDE.md — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
streamfog-mcp — Claude Code Guide
Overview
Streamfog MCP server — AR lens and face-filter orchestration for OBS live streams via Streamer.bot bridge
Entry Points
uv run streamfog-mcp→streamfog_mcp.__main__:main
Standards
- FastMCP 3.2+ portmanteau tool pattern — tools use
operationenum param - Responses: structured dicts with
success,message, domain-specific fields - Dual transport: stdio (Claude Desktop) + HTTP (
MCP_TRANSPORT=http) - See mcp-central-docs for fleet-wide coding standards
Key Files
README.md— full documentationpyproject.toml— build config and entry pointsAGENTS.md— OpenAI Codex agent context (if present)
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.
- 5d ago First seen · 19 lines · 195 tokens per session scan A ddf91715fd13
streamfog-mcp CLAUDE.md is an instructions file published in the GitHub repository sandraschi/streamfog-mcp (1 stars, last pushed 5d ago), licensed MIT. It adds 195 tokens to every session, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to tailscale-mcp CLAUDE.md, differing in 7 lines, and is treated as a copy.
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