shogun-editing

shogun-editing is a skill for Claude Code, Codex from dcc-mcp/dcc-mcp-shogun. It costs 74 tokens per session (420 once invoked), scanned A, original, MIT.

A set of tools for editing marker motion data and channel values in Vicon Shogun Post, software for working with motion-capture recordings.

In plain words
What is it for?
Use it to change individual marker samples, select or delete channel keys, and filter selected motion data after making a recovery copy.
Why use it?
It limits edits to inspected subjects, markers, frames, and selected keys, helping prevent broad accidental changes to motion data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to change individual marker samples, select or delete channel keys, and filter selected motion data after making a recovery copy.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dcc-mcp/dcc-mcp-shogun/shogun-editing
Install

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.

Any agent
npx skills add dcc-mcp/dcc-mcp-shogun --skill shogun-editing
Clone the repo
git clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-shogun

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for shogun-editing

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-shogun/shogun-editing/github.svg)](https://agentmods.dev/skills/dcc-mcp/dcc-mcp-shogun/shogun-editing)
Your own site
<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.

agentmods 80×15 button for shogun-editing

Your own site · 80×15
<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>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 420 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.00420
Opus 5.5 $0.00030 $0.00168
Sonnet 5.5 $0.00015 $0.00084
Haiku 4.5 $0.00007 $0.00042

Measured 21d ago against content hash 06fc988cbfdb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 21d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/_result.py, scripts/apply_fir_filter.py, scripts/apply_weighted_average_filter.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/dcc_mcp_shogun/skills/shogun-editing/SKILL.md · 39 lines

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.

Files

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.

Changes

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.

  1. 21d ago Changed 06fc988cbfdb
  2. 1mo ago Changed e320786ae18e
  3. 2mo ago First seen · 39 lines · 74 tokens per session scan A be5a31f401f0

Subscribe to this mod's changes

shogun-editing is a skill published in the GitHub repository dcc-mcp/dcc-mcp-shogun (1 stars, last pushed 14d ago), licensed MIT. It adds 74 tokens to every session and 420 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 2026-08-31.

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