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 sidiangongyuan/codex-skills-library --skill paper-visual-craftgit clone --depth 1 https://github.com/sidiangongyuan/codex-skills-libraryWrote 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/sidiangongyuan/codex-skills-library/paper-visual-craft)<a href="https://agentmods.dev/skills/sidiangongyuan/codex-skills-library/paper-visual-craft"><img src="https://agentmods.dev/badge/skills/sidiangongyuan/codex-skills-library/paper-visual-craft/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/sidiangongyuan/codex-skills-library/paper-visual-craft"><img src="https://agentmods.dev/badge/skills/sidiangongyuan/codex-skills-library/paper-visual-craft.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 | $0.00060 | $0.02263 |
| Opus 5.5 | $0.00024 | $0.00905 |
| Sonnet 5.5 | $0.00012 | $0.00453 |
| Haiku 4.5 | $0.00006 | $0.00226 |
Grade A, and why
paper-visual-craft 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 1mo 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Visual Craft
Routing Boundary
- Use
$paper-framework-figure-studio-profirst for source-grounded framework figure, method overview, architecture diagram, pipeline/process figure, system/data-flow figure, mechanism schematic, or agent workflow planning. - Return to
$paper-visual-craftfor final figure/table polish, Matplotlib or LaTeX edits, captions, color/typography cleanup, and rendered PDF/PNG validation.
Incremental Maintenance
- For a local number, caption, or format fix, reuse the established paper story and table contract. Verify the scoped source and connected text only; do not restart story questioning, re-freeze the contract, run a full literature review, or rerun experiments for cosmetic-only changes.
Core Workflow
-
Inspect before editing.
- Read the paper context around the target figure or table.
- Locate the source data, generation script, LaTeX include block, captions, and any reference visual the user named.
- If data provenance is unclear, stop and identify the exact missing source instead of redrawing from copied numbers.
-
Classify the visual.
- Decide whether it is a main-result figure, appendix diagnostic, dataset/statistics figure, ablation table, reliability/control table, or qualitative panel.
- Keep main-paper visuals compact and claim-focused. Use appendix visuals for diagnostics, extended controls, and richer tables.
- For dataset or benchmark papers, ask what story the visual supports: benchmark positioning, annotation effort, evidence source, main control, or diagnostic richness.
- Put the comparison axis first. The reader should immediately know what is being compared and what conclusion to read; the visual should not preserve implementation history, generated-condition inventories, or debug process unless those are the claim.
- Prefer a simple table for categorical comparisons and component ablations. Do not turn a row-and-column question into a complex diagram merely to make the presentation look more elaborate.
What ships with it
6 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.
- 1mo ago Changed · +5 lines 8ca33100ca11
- 1mo ago Changed · +20 lines 42a1e48ad721
- 1mo ago First seen · 131 lines · 60 tokens per session scan A 6b10c4dc186b
paper-visual-craft is a skill published in the GitHub repository sidiangongyuan/codex-skills-library (24 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 2,263 once invoked, about $0.0002 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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