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 yangtaihong59/siyuan-plugins-mcp-sisyphus --skill siyuan-sisyphus-visual-assetsgit clone --depth 1 https://github.com/yangtaihong59/siyuan-plugins-mcp-sisyphusWrote 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/yangtaihong59/siyuan-plugins-mcp-sisyphus/siyuan-sisyphus-visual-assets)<a href="https://agentmods.dev/skills/yangtaihong59/siyuan-plugins-mcp-sisyphus/siyuan-sisyphus-visual-assets"><img src="https://agentmods.dev/badge/skills/yangtaihong59/siyuan-plugins-mcp-sisyphus/siyuan-sisyphus-visual-assets/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/yangtaihong59/siyuan-plugins-mcp-sisyphus/siyuan-sisyphus-visual-assets"><img src="https://agentmods.dev/badge/skills/yangtaihong59/siyuan-plugins-mcp-sisyphus/siyuan-sisyphus-visual-assets.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 | $0.00034 | $0.01028 |
| Opus 5 | $0.00017 | $0.00514 |
| Sonnet 5 | $0.00007 | $0.00206 |
| Haiku 4.5 | $0.00003 | $0.00103 |
Grade A, and why
siyuan-sisyphus-visual-assets 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 12d 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.
This is a copy
88% identical to siyuan-mcp-visual-assets — 42 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SiYuan Visual Assets with the CLI
Choose the narrowest route: data/config-driven SVG for statistical charts, semantic geometry for explanatory figures, and an existing uploaded asset when vector reconstruction is not appropriate. This scenario does not add a picture-generation tool, renderer, async runner, or platform-specific image utility.
Generate and review
- Read the source image or data and record chart type, series, categories, values, axes, units, grid lines, markers, title, legend, geometry, and unresolved readings. Do not invent unclear values.
- Reuse a matching deterministic config/builder shape for charts; for figures, decode structure first and choose semantic geometry. If a supported mathematical relation exists, declare and run a validation such as growth or sum; failed validation returns to data review.
- Check escaped text, viewBox containment, text bounds and collisions, line/text clearance, stable stroke width, angle/projection/occlusion constraints, and one unique
data-chart-keymatched to the config registry. - Semantic correctness comes before pixel similarity. Pixel overlay is optional. A real SiYuan UI review is required for display claims: width, responsive behavior, readability, theme contrast, and embed rendering.
Do not make bitmap tracing the default route. Use it only as constrained coordinate assistance; do not force-vectorize photos, maps, comics, or figures whose meaning is the typeface itself. If text, a list, table, or formula states the meaning clearly, prefer native content.
Upload and embed
Resolve the exact notebook/document/block ID, parent-child relation, and insertion position before writing. A title, search hit, or UI position is not write authorization.
siyuan-sisyphus file upload-asset --assets-dir-path '<approved-assets-dir>' --local-file-path '<selected-local-file>' --json
Asset upload reads a user-selected local file and requires explicit approval of both the source file and assets directory. Use the returned asset path as the only subsequent reference; never guess a timestamped filename or preserve a machine-specific path in the Skill.
What ships with it
1 file 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.
- 12d ago First seen · 64 lines · 34 tokens per session scan A d43806cf8753
siyuan-sisyphus-visual-assets is a skill published in the GitHub repository yangtaihong59/siyuan-plugins-mcp-sisyphus (104 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 1,028 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to siyuan-mcp-visual-assets, differing in 42 lines, and is treated as a copy.
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