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 skills/quantdiy/gerp/mcpnpx skills add quantDIY/GERP --skill mcpgit clone --depth 1 https://github.com/quantDIY/GERPWhat 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 | $0.00043 | $0.00243 |
| Opus 5 | $0.00022 | $0.00121 |
| Sonnet 5 | $0.00009 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
cmd/mcp 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 yesterday.
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
Model Context Protocol Server (cmd/mcp & internal/mcp)
This module builds the AI Brain Interface for GERP. It exposes the FAANG-grade architecture via the official Model Context Protocol (MCP) using JSON-RPC over STDIO. This allows AI Swarms (like Claude, Gemini, or custom orchestrators) to securely interact with the physical databases and Temporal Sagas autonomously.
Constraints
- STDIO Transport: All data is structured over standard input/output streams natively.
- Config Bound: The server strictly utilizes
cli.InitConfig()to guarantee the AI agent is subject to the identical Spanner and Temporal environments as human sysadmins.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 19 lines · 43 tokens per session scan A 5e7b33dae394
cmd/mcp is a skill published in the GitHub repository quantDIY/GERP (3 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 243 once invoked, about $0.0002 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.
Other skills, from other repositories
comms-context
Fetch on-call and discussion context from Slack threads and PagerDuty incidents — participants, timeline, and status. Auto-loads on Slack permalinks or PagerDuty incident references. Keywords — Slack, thread, PagerDuty, on-call.
octo-drive
Octo Drive — spaces, folders, file upload/download, online-document mounts, share links, invites, IM-attachment transfer. Works with a bot token or a user API key; the CLI routes by token kind. Load after octo-shared.
octo-mail
OCTO Agent Mail operations for reading, searching, policy-aware sending, preparing drafts, and checking delivery status exclusively through octo-cli.
octo-docs
Docs domain — create and govern documents, read and incrementally edit a doc's live body, read and batch-edit spreadsheet cells (dims + images), read and batch-edit whiteboard scenes, members and sharing, inline comments, versions/snapshots, and attachment metadata as a bot. Load after octo-shared.
neohaskell-change
Stage playbook for executing steps of the change formula v2 (ADR-0075) — the 5-step molecule that takes a request from spec to merged PR. Use when claiming or executing any bead poured from the change formula (spec, spec-approval, build, verify, pr), when parking a stuck step, or when recording a spec approval. Covers…
cymbal
Tree-sitter indexed code navigator. Use the cymbal CLI — not Read, Grep, Glob, or Bash — for finding where symbols are defined, tracing callers and callees, locating interface implementations, understanding the impact of a change, and mapping imports across an existing codebase. Returns precise, token-efficient…