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 dcc-diagnosticsgit 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/dcc-diagnostics)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-core/dcc-diagnostics"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-core/dcc-diagnostics/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/dcc-diagnostics"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-core/dcc-diagnostics.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 | $0.00084 | $0.00536 |
| Opus 5 | $0.00042 | $0.00268 |
| Sonnet 5 | $0.00017 | $0.00107 |
| Haiku 4.5 | $0.00008 | $0.00054 |
Grade A, and why
dcc-diagnostics 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
DCC Diagnostics
Cross-DCC observability and debugging tools powered by dcc-mcp-core.
All tools work in any DCC environment (Maya, Blender, Houdini, Unreal, 3ds Max) or standalone Python — no DCC-specific APIs required.
Tools
dcc_diagnostics__screenshot
Capture the current screen or a specific window as a PNG/JPEG image.
Backed by the dcc_mcp_core.Capturer class which uses:
- Windows: DXGI Desktop Duplication API (<16ms per frame)
- Linux: X11 XShmGetImage
- Fallback: Mock synthetic backend (headless/CI)
dcc_diagnostics__audit_log
Query the sandbox audit log from dcc_mcp_core.SandboxContext.
Returns recent tool invocations with outcome (success/denied) and timestamps.
dcc_diagnostics__tool_metrics
Inspect per-tool performance counters from dcc_mcp_core.ToolRecorder:
invocation count, success rate, average latency, P95/P99 percentiles.
dcc_diagnostics__process_status
Check process health via dcc_mcp_core.PyProcessMonitor.
Lists tracked PIDs and their liveness status.
Usage with any DCC MCP server
import os
os.environ["DCC_MCP_SKILL_PATHS"] = "/path/to/dcc-diagnostics"
from dcc_mcp_maya import start_server # or dcc_mcp_blender, etc.
handle = start_server(port=8765)
# dcc_diagnostics__screenshot is now available as an MCP tool
What ships with it
5 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 · 66 lines · 84 tokens per session scan A 3b7cb18f4726
dcc-diagnostics is a skill published in the GitHub repository dcc-mcp/dcc-mcp-core (42 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 536 once invoked, about $0.0004 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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