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 workflowgit 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/workflow)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-core/workflow"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-core/workflow/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/workflow"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-core/workflow.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 | $0.00065 | $0.00565 |
| Opus 5.5 | $0.00026 | $0.00226 |
| Sonnet 5.5 | $0.00013 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
workflow 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 27d 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
Workflow Orchestration
Multi-step action chaining for DCC pipelines.
Overview
The workflow__run_chain tool lets an agent (or a human) execute a sequence
of dcc-mcp-core actions in order. Results from earlier steps flow into later
steps via context merging and {key} parameter interpolation.
Example: Select → Rename → Validate → Export
{
"steps": [
{
"label": "List mesh objects",
"action": "maya_scene__list_objects",
"params": {"type": "mesh"}
},
{
"label": "Rename with prefix",
"action": "maya_scene__rename_objects",
"params": {"prefix": "char_"}
},
{
"label": "Validate naming",
"action": "maya_pipeline__validate_naming",
"params": {}
},
{
"label": "Export FBX",
"action": "maya_scene__export_fbx",
"params": {"output": "/tmp/export.fbx"},
"stop_on_failure": true
}
]
}
Error Recovery
If a step fails and stop_on_failure is true, the chain halts immediately
and returns the partial results so far, plus the error details. The agent can
then use dcc_diagnostics__screenshot or dcc_diagnostics__audit_log to
investigate before retrying.
Context Interpolation
Use {key} placeholders in params to inject values from the running context:
{"action": "export_fbx", "params": {"output": "{export_path}"}}
The context starts from the context input, then accumulates each step's
context output.
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.
- 27d ago Changed · +5 lines 3e64efdb8bc4
- 1mo ago First seen · 77 lines · 65 tokens per session scan A 30a5d6436c8b
workflow is a skill published in the GitHub repository dcc-mcp/dcc-mcp-core (70 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 565 once invoked, about $0.0003 per session on Opus 5.5. 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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