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 MiaoQichuan/new-litigation-visualization --skill mqc-litigation-visual-redrawgit clone --depth 1 https://github.com/MiaoQichuan/new-litigation-visualizationWrote 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/miaoqichuan/new-litigation-visualization/mqc-litigation-visual-redraw)<a href="https://agentmods.dev/skills/miaoqichuan/new-litigation-visualization/mqc-litigation-visual-redraw"><img src="https://agentmods.dev/badge/skills/miaoqichuan/new-litigation-visualization/mqc-litigation-visual-redraw/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/miaoqichuan/new-litigation-visualization/mqc-litigation-visual-redraw"><img src="https://agentmods.dev/badge/skills/miaoqichuan/new-litigation-visualization/mqc-litigation-visual-redraw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00257 | $0.04625 |
| Opus 5 | $0.00129 | $0.02312 |
| Sonnet 5 | $0.00051 | $0.00925 |
| Haiku 4.5 | $0.00026 | $0.00462 |
Grade A, and why
mqc-litigation-visual-redraw 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.
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Litigation visual redraw
This skill is mqc-litigation-visual-redraw — the first open-source module of
新诉讼可视化 · New Litigation Visualization (slogan: 把法律画出来 · Make the Law
Visible), 缪奇川's litigation-visualization project. It takes an ugly / hand-drawn /
"AI-flavored" source — or even plain judgment text — and redraws it into a
standard legal diagram (timeline · flowchart · relationship). This module stands alone.
Turn a messy or generic litigation diagram into a calm, professional legal graphic. The guiding idea (先吃透，再重画): first understand the source faithfully, then redraw it — never change the wording and never change the legal meaning; only improve the visual expression. Method, in the spirit of mqc-legal-skills: scenario is vertical, the SOP is tight, the output should look like a McKinsey exhibit, not a student's slide.
Scope: timelines (three forms — numbered, dated, gantt), flowcharts, and relationship diagrams (free-form network + hierarchical tree; a two-column comparison table is the A-vs-B variant of the relationship family). All are frozen and share one visual language. This skill draws these three families and nothing else — do not invent new diagram types.
Intent router (what to read first)
Read SKILL.md + references/STANDARDS.md always. Then, by intent, open only what
you need (don't preload everything):
| The user gives / wants | Read this | Then |
|---|---|---|
| An ugly / hand-drawn / screenshot / AI-style diagram, OR plain text / a judgment to turn into a diagram | references/extraction-guide.md (read→analyze→decompose, six steps) |
pick a layout below |
| A timeline (events over time) | extraction-guide Step 1 timeline decision ladder | numbered / dated / gantt |
| A flowchart / process / decision | references/flowchart-spec.md |
graphviz_flow |
| A relationship / parties / hierarchy | references/relationship-spec.md (tree-vs-network rule) |
graphviz_relation / relation_tree |
| A vs B side-by-side comparison | schema comparison_table |
two columns |
| Field/shape details for the JSON | references/semantic-map-schema.md |
write JSON |
What ships with it
60 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.
- assets/brand/logos/drawio.png 11 KB
- assets/brand/logos/illustrator.png 4.3 KB
- assets/brand/logos/png.png 5.2 KB
- assets/brand/logos/powerpoint.png 9.5 KB
- assets/brand/logos/processon.png 21 KB
- assets/brand/miaoqichuan-avatar.png 756 KB
- assets/brand/nlv-logo-red.png 15 KB
- assets/fonts/README.md 1.9 KB
- assets/longform/how-it-works.png 600 KB
- assets/longform/how-it-works.svg 390 KB
- assets/longform/seven-layouts.png 263 KB
- assets/longform/seven-layouts.svg 20 KB
- assets/longform/visual-system-baimiao.png 506 KB
- assets/longform/visual-system-baimiao.svg 561 KB
- assets/longform/visual-system-guizang.png 810 KB
- assets/longform/visual-system-guizang.svg 661 KB
- assets/longform/visual-system-qichuan.png 739 KB
- assets/longform/visual-system-qichuan.svg 703 KB
- assets/modes/comparison-table-3modes.png 625 KB
- assets/modes/flow-contract-review-3modes.png 585 KB
- assets/modes/flowchart-3modes.png 505 KB
- assets/modes/relation-dense-3modes.png 327 KB
- assets/modes/relation-tree-3modes.png 302 KB
- assets/modes/relationship-3modes.png 160 KB
- assets/modes/timeline-dated-3modes.png 235 KB
- assets/modes/timeline-gantt-3modes.png 347 KB
- assets/modes/timeline-points-3modes.png 254 KB
- assets/screenshots/.renderer 74 B
- assets/screenshots/comparison-table.png 236 KB
- assets/screenshots/flowchart.png 335 KB
- assets/screenshots/relation-tree.png 105 KB
- assets/screenshots/relationship.png 79 KB
- assets/screenshots/timeline-dated.png 142 KB
- assets/screenshots/timeline-gantt.png 145 KB
- assets/screenshots/timeline-points.png 157 KB
- assets/style-tokens.json 2.9 KB
- AUTHOR.md 2.2 KB
- CHANGELOG.md 8.9 KB
- examples/comparison-table.json 1.4 KB
- examples/flow-contract-review.json 2.8 KB
- examples/flowchart.json 3.9 KB
- examples/relation-tree.json 1.5 KB
- examples/relationship.json 1.2 KB
- examples/timeline-dated.json 1.7 KB
- examples/timeline-gantt.json 2.5 KB
- examples/timeline-points.json 1.6 KB
- LICENSE 1.1 KB
- README.md 26 KB
- references/extraction-guide.md 18 KB
- references/fidelity-rules.md 3.1 KB
- references/flowchart-spec.md 5.6 KB
- references/relationship-spec.md 9.4 KB
- references/rendering-and-workflow.md 7.3 KB
- references/semantic-map-schema.md 11 KB
- references/STANDARDS.md 17 KB
- references/visual-style.md 18 KB
- schemas/semantic-map.schema.json 5.4 KB
- scripts/audit_edges.py 3.4 KB runs code
- scripts/audit.py 9.0 KB runs code
- scripts/checkpoint.py 9.8 KB runs code
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 · 311 lines · 257 tokens per session scan A 9041af3254cb
mqc-litigation-visual-redraw is a skill published in the GitHub repository MiaoQichuan/new-litigation-visualization (55 stars, last pushed 19d ago), licensed MIT. It adds 257 tokens to every session and 4,625 once invoked, about $0.0013 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 2026-08-30.
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