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-editinggit 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-editing)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-shogun/shogun-editing"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-shogun/shogun-editing/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-editing"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-shogun/shogun-editing.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 | $0.00074 | $0.00420 |
| Opus 5 | $0.00037 | $0.00210 |
| Sonnet 5 | $0.00015 | $0.00084 |
| Haiku 4.5 | $0.00007 | $0.00042 |
Grade A, and why
shogun-editing 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 11d 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 Editing
Inspect the target with shogun-scene and select an explicit range with
shogun-timeline before changing keys or filtering data. The tools call only
Vicon's official trajectory, Channel, FIRFilter, and WeightedAverageFilter SDK
contracts. Arbitrary HSL/Python and unbounded DeleteAllKeys are not exposed.
set_trajectory_sample changes exactly one subject/marker/frame and verifies
the value returned by Shogun. select_channel_keys changes selection state
only. delete_channel_keys accepts one explicit frame or the already selected
keys. Filters default to selected keys only; setting selected_keys_only=false
explicitly applies the filter to the whole target channel.
Filtering and key deletion change motion data. Save a recovery copy first, validate the affected samples after every call, and run the final solve over the whole play range after cleanup as required by Vicon's Shogun Post workflow.
What ships with it
7 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.
- 11d ago First seen · 39 lines · 74 tokens per session scan A be5a31f401f0
shogun-editing is a skill published in the GitHub repository dcc-mcp/dcc-mcp-shogun (0 stars, last pushed 13d ago), licensed MIT. It adds 74 tokens to every session and 420 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 2026-08-31.
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