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-fpt --skill shotgrid-setupgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-fptWrote 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-fpt/shotgrid-setup)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-setup"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-setup/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-fpt/shotgrid-setup"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-setup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00052 | $0.00407 |
| Opus 5 | $0.00026 | $0.00204 |
| Sonnet 5 | $0.00010 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
shotgrid-setup 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 9d 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
ShotGrid Setup
Eager-loaded at startup. Helps agents configure dcc-mcp-fpt for local development, IDE MCP clients, mcpcall smoke tests, containers, and custom skill paths.
Tools
| Tool | Intent |
|---|---|
generate_agent_config |
Produce local command, MCP config snippets, mcpcall commands, Docker examples, and skill path environment hints |
validate_runtime_config |
Inspect current environment for required ShotGrid, gateway, permission, and custom skill path settings |
Guidance
- Prefer
uvx dcc-mcp-fptfor local HTTP startup. It uses the default gateway port9765; if a resident gateway is already healthy, this adapter joins it. - Use
--no-gatewayor--gateway-port 0only for standalone debugging. - Do not persist secret values unless the user explicitly asks. This skill
redacts
SHOTGRID_SCRIPT_KEYby default.
What ships with it
3 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.
- 9d ago First seen · 41 lines · 52 tokens per session scan A d6b1384dc3c8
shotgrid-setup is a skill published in the GitHub repository dcc-mcp/dcc-mcp-fpt (1 stars, last pushed 15d ago), licensed MIT. It adds 52 tokens to every session and 407 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.
Other skills, from other repositories
maya-render
Pipeline stage — render globals, final-frame rendering, and viewport capture: configure render settings, query them, render frames, capture playblasts. Use for producing final or preview imagery. Not for modeling (maya-mesh-ops), animation editing (maya-animation), generic file import/export (maya-geometry), or render…
maya-scripting
Bootstrap stage — escape hatch for Maya work that has no packaged skill yet. Agents should prefer searchskills / dcccapabilitymanifest → loadskill → typed tools (inputSchema + annotations) from domain skills; use executepython or executemel only when no skill matches, for bulk in-process loops, or for API…
dcc-mcp-maya-setup
Set up dcc-mcp-maya for an agent or operator: install Maya Python dependencies with mayapy, generate MCP host configuration, guide the user through loading the Maya plugin, and run a first live-tool smoke prompt.
maya-import-to-scene
Pipeline stage — structured asset import. Consume an AssetDescriptor produced by maya-asset-source and import the asset (FBX, OBJ, USD) into the current Maya scene via cmds.file(). Handles axis/unit conversion, MaterialMode, PlacementHint, and optional target collection grouping. Returns an ImportToSceneResult with…
maya-asset-source
Pipeline stage — asset discovery and resolution. Search local asset libraries, resolve paths to structured AssetDescriptor records, and surface candidate assets for downstream import. Use before maya-import-to-scene to locate what to import.
maya-mock-async
Synthetic async skill for gateway integration tests. Sleeps for N seconds and reports progress every 500 ms. No actual Maya installation required — uses MayaStandaloneDispatcher.