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 skills add dcc-mcp/dcc-mcp-core --skill typed-schema-demogit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-coreWrote 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/dcc-mcp/dcc-mcp-core/typed-schema-demo)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-core/typed-schema-demo"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-core/typed-schema-demo/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/skills/dcc-mcp/dcc-mcp-core/typed-schema-demo"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-core/typed-schema-demo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00429 |
| Opus 5 | $0.00028 | $0.00215 |
| Sonnet 5 | $0.00011 | $0.00086 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
typed-schema-demo 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 12d 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
Typed Schema Demo (issue #242)
This skill demonstrates the dcc_mcp_core.schema helpers landed for
issue #242: authors write a typed handler and
tool_spec_from_callable derives both inputSchema and outputSchema
from the annotations, with no dependency on pydantic, jsonschema, or
attrs.
What to look at
scripts/demo.py— one handler using a dataclass input and a dataclass output. The derived schemas are structurally compatible with pydantic'smodel_json_schema()so callers can swap in pydantic later without migrating agents or cached schemas.
How to wire it into a server
The demo module builds a ToolSpec that is ready for
dcc_mcp_core._tool_registration.register_tools(server, [spec]). Inside
an adapter (e.g. Maya/Blender), register it during bootstrap:
from dcc_mcp_core._tool_registration import register_tools
from typed_schema_demo.scripts.demo import spec
register_tools(server, [spec], dcc_name="python")
When the negotiated MCP session is 2025-06-18, the gateway publishes
outputSchema alongside inputSchema so clients can validate the
structuredContent payload our handler returns.
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.
- 12d ago First seen · 50 lines · 55 tokens per session scan A 750fa0b466c2
typed-schema-demo is a skill published in the GitHub repository dcc-mcp/dcc-mcp-core (44 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 429 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 2026-08-30.
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