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-timelinegit 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-timeline)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-shogun/shogun-timeline"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-shogun/shogun-timeline/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-timeline"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-shogun/shogun-timeline.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 | $0.00068 | $0.00376 |
| Opus 5.5 | $0.00027 | $0.00150 |
| Sonnet 5.5 | $0.00014 | $0.00075 |
| Haiku 4.5 | $0.00007 | $0.00038 |
Grade A, and why
shogun-timeline 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 Timeline
Start with inspect_timeline. The adapter calls only Vicon's closed Timeline
interface; it does not expose arbitrary HSL or Python execution.
Frame setters require explicit, non-negative values. select_time_range replaces
the current selection by default. Typed operations also support deselecting one
range, inverting the selection, and deriving ranges from selected keys. Play and
animation range setters attempt to restore the prior values if the second SDK
setter fails. Playback start/stop are typed wrappers over Timeline.Play and
Timeline.Stop; they do not change motion data.
This Skill is capability-gated because a Shogun host can ship an SDK surface but reject a command for that host application. Such rejections return a bounded error without paths, tracebacks, or fallback UI actions.
What ships with it
13 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.
- scripts/_result.py 79 B runs code
- scripts/clear_time_selection.py 374 B runs code
- scripts/deselect_time_range.py 437 B runs code
- scripts/inspect_timeline.py 423 B runs code
- scripts/invert_time_selection.py 377 B runs code
- scripts/select_time_from_keys.py 384 B runs code
- scripts/select_time_range.py 470 B runs code
- scripts/set_animation_range.py 439 B runs code
- scripts/set_current_frame.py 394 B runs code
- scripts/set_play_range.py 424 B runs code
- scripts/start_playback.py 333 B runs code
- scripts/stop_playback.py 331 B runs code
- tools.yaml 7.4 KB
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 484772175c03
- 1mo ago Changed 4df9c343c2c4
- 2mo ago First seen · 37 lines · 68 tokens per session scan A 374300ac1f2f
shogun-timeline is a skill published in the GitHub repository dcc-mcp/dcc-mcp-shogun (1 stars, last pushed 14d ago), licensed MIT. It adds 68 tokens to every session and 376 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.
shogun-timeline compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shogun-timelinedcc-mcp/dcc-mcp-shogun | Skill | 1 | 14d ago | MIT | A | 68 | 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 |