Borrowing it
Nothing to install: this file belongs to deephaven/deephaven-mcp. 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/deephaven/deephaven-mcp/main/.agents/skills/mcp-tool-add/SKILL.mdgit clone --depth 1 https://github.com/deephaven/deephaven-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/skills/deephaven/deephaven-mcp/mcp-tool-add)<a href="https://agentmods.dev/skills/deephaven/deephaven-mcp/mcp-tool-add"><img src="https://agentmods.dev/badge/skills/deephaven/deephaven-mcp/mcp-tool-add.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 | $0.00065 | $0.00806 |
| Opus 5 | $0.00032 | $0.00403 |
| Sonnet 5 | $0.00013 | $0.00161 |
| Haiku 4.5 | $0.00006 | $0.00081 |
Grade A, and why
mcp-tool-add 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 8d 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 — 25 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply the ref-mcp-module-organization skill for module placement, the pydocs-improve skill for docstring requirements (Terminology Note + Format Accuracy for AI Agents), and the ref-output-serialization-conventions skill for the tool's return payload (every string field's value vocabulary, casing, and known carve-outs).
Steps
- Pick the module. Look in
src/deephaven_mcp/mcp_systems_server/_tools/for an existing domain that fits (session.py,table.py,script.py,session_community.py,session_enterprise.py,catalog.py,pq.py). Only create a new module if the tool represents a genuinely new domain. Module size follows from that rule — one domain per module — not from a line target. For how the tool packages relate to the rest of the tree, seeref-project-reference; if you add a module, update its map in the same changeset. - Write the tool function. Async, takes
context: Contextfirst, returns adict. No@server.tool()decorator on the function itself — registration is explicit (see step 4). - Write the docstring. AI agents see only the docstring; be specific about parameters, return shape, and errors. Apply the
pydocs-improveskill — including the canonical "Terminology Note" and (if the tool returns tabular data with aformatparameter) "Format Accuracy for AI Agents" sections. - Register the tool. Add
server.tool()(my_tool)inside the module'sregister_tools(server: FastMCP) -> None. If you created a new module, also addmodule.register_tools(server)to_register_tools()insrc/deephaven_mcp/mcp_systems_server/_fastmcp.py. This is the most commonly forgotten step — without it the tool is invisible to clients. - Add helpers with a leading underscore. Place them in the same module unless used by 3+ modules, in which case promote to
_tools/shared.py. - Add logging. Apply the
ref-logging-standardsskill: log entry, success, and the failure path for the tool in its canonical message format; never log secrets. - Add tests. A new tool gets its own test cases covering the happy path, error paths, and any session-id parsing. Apply the
tests-improveskill for coverage targets. - Update the capability list. Add the tool to the Available MCP Tools list in
README.md(one line: name + one-line purpose). The docstring from step 3 is the tool's reference — no other doc needs a per-tool entry. Updatedocs/CONFIGURATION.mdonly if the tool adds a configuration field. - Run
run-precommitandtests-run-fileon the changed test files, thentests-runfor a full-suite check.
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.
- 8d ago First seen · 25 lines · 65 tokens per session scan A 43891a3014a9
mcp-tool-add is a skill published in the GitHub repository deephaven/deephaven-mcp (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 65 tokens to every session and 806 once invoked, about $0.0003 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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