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-shogun --skill shogun-filesgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-shogunWrote 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-shogun/shogun-files)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-shogun/shogun-files"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-shogun/shogun-files/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-shogun/shogun-files"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-shogun/shogun-files.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 | $0.00059 | $0.00461 |
| Opus 5.5 | $0.00024 | $0.00184 |
| Sonnet 5.5 | $0.00012 | $0.00092 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
shogun-files 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 21d 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
Vicon Shogun Post Files
Use these typed file operations only after shogun_scene__inspect_scene and
only with exact operator-owned local paths. Imports are size-bounded and accept
only .bvh, .c3d, or .mcp. Saves require .vdf; exports accept .bvh,
.c3d, .fbx, or .mcp.
Existing output files fail closed unless overwrite=true. A successful save
returns a versioned recovery receipt containing only the VDF base name, byte
count, SHA-256 digest, and whether the vendor reported a different active scene
after saving. Other results contain only base names, byte counts, and formats;
they never return full paths. The Skill does not expose scene replacement,
arbitrary HSL/Python execution, or raw trajectory writes.
These operations are capability-gated by the selected Shogun Post build and
license. Shogun Post 1.19 is known to reject the official SDK ImportFile call
with ControlError; the tool reports that class without a traceback or local
path and does not claim the mutation succeeded. Use shogun_scene__inspect_scene
after every failed file call to confirm the scene remained unchanged.
What ships with it
4 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.
- 21d ago Changed bf5c8eb73d54
- 1mo ago Changed d8bc2f3f186c
- 2mo ago First seen · 41 lines · 59 tokens per session scan A 940465d6d4f4
shogun-files is a skill published in the GitHub repository dcc-mcp/dcc-mcp-shogun (1 stars, last pushed 14d ago), licensed MIT. It adds 59 tokens to every session and 461 once invoked, about $0.0002 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 2026-08-31.
shogun-files compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shogun-filesdcc-mcp/dcc-mcp-shogun | Skill | 1 | 14d ago | MIT | A | 59 | Claude Code, Codex |
| schema-explorationlangchain-ai/deepagents | Skill | 31k | today | MIT | A | 57 | Claude Code, Codex |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 44 | Claude Code |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 69k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| mempalace-recallMemPalace/mempalace | Skill | 60k | today | MIT | A | 94 | Claude Code |
| analyze-marketlangchain-ai/deepagents | Skill | 31k | today | MIT | A | 34 | Claude Code, Codex |
| haikuagno-agi/agno | Skill | 43k | yesterday | Apache-2.0 | A | 0 | Claude Code, Codex |