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/devdizzle/gammarips-mcp/claude-mdgit clone --depth 1 https://github.com/DevDizzle/gammarips-mcpWhat 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 | $0.00346 | $0.00346 |
| Opus 5 | $0.00173 | $0.00173 |
| Sonnet 5 | $0.00069 | $0.00069 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
gammarips-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 2d 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.
What it actually says
gammarips-mcp
GammaRips MCP server — options-flow intelligence primitives for AI agents
(curated daily bullish pool, point-in-time features, opportunity surfaces,
bracket labels, regime context). Design rule: primitives, never a pick —
no "what should I buy" endpoint. Start with README.md for the full tool list.
Deploy target
- Cloud Run, us-central1, GCP project number
406581297632 - Primary endpoint:
https://gammarips-mcp-406581297632.us-central1.run.app/mcp(streamable HTTP);/sseis legacy,/jsonrpcstateless - Build/deploy via
cloudbuild.yaml+Dockerfile - Auth: bearer-token tiering (
gr_live_...keys), currently shadow rollout — seeSECURITY.md
Working here
- Python (
pyproject.toml); server config inmcp.json/mcp_config.json - Docs in
docs/, run/eval artifacts inreports/andlogs/ - The deployed server is registered as a user-scope MCP (
gammarips-mcp) in Claude Code — trading sessions consume it live; don't break the hosted endpoint casually - Related repos:
../gammarips-mcp-serverjson(registry/listing fork — keep README/tool descriptions in sync when tools change),../gammarips-trader(primary consumer),../gammarips-engine(produces the underlying data)
TODO(Evan): add VERIFIED run/test/deploy commands after next hands-on session.
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.
- 2d ago First seen · 27 lines · 346 tokens per session scan A e3c58a0907cf
gammarips-mcp CLAUDE.md is an instructions file published in the GitHub repository DevDizzle/gammarips-mcp (0 stars, last pushed 5d ago), licensed MIT. It adds 346 tokens to every session, about $0.0017 per session on Opus 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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