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 AndyZhuang/Opentest --skill generate_double_column_pdf_reportgit clone --depth 1 https://github.com/AndyZhuang/OpentestWrote 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/andyzhuang/opentest/generate_double_column_pdf_report)<a href="https://agentmods.dev/skills/andyzhuang/opentest/generate_double_column_pdf_report"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/generate_double_column_pdf_report/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/andyzhuang/opentest/generate_double_column_pdf_report"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/generate_double_column_pdf_report.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 | $0.00074 | $0.03829 |
| Opus 5 | $0.00037 | $0.01914 |
| Sonnet 5 | $0.00015 | $0.00766 |
| Haiku 4.5 | $0.00007 | $0.00383 |
Grade A, and why
generate_double_column_pdf_report 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 8d 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 — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Double-Column PDF Report
Overview
generate_double_column_pdf_report consolidates the full output of a LabOS research pipeline — structured data, pre-rendered figures, Methods text, Results summaries, and metadata — into a single, publication-style double-column PDF document. The skill uses reportlab or PyMuPDF to programmatically construct the layout: title block, abstract, IMRAD sections with proper typography, embedded figures and tables with captions, in-text citations as placeholders, and a reference list stub. The result is a self-contained report suitable for internal lab review, preprint submission, or as a draft shell for journal formatting, completing the LabOS "from video to paper" workflow in one export step.
When to Use This Skill
Use this skill when any of the following conditions are present:
- End-to-end pipeline export: A LabOS workflow (
extract_experiment_data_from_video→analyze_lab_video_cell_behavior→generate_cell_analysis_charts→generate_scientific_method_section) has finished and the agent must produce a single PDF combining all outputs for human review or archival. - Internal lab report: A weekly or monthly lab meeting requires a formatted report (title, methods summary, key figures, preliminary results) rather than raw JSON or loose image files.
- Preprint draft preparation: A manuscript is being prepared for bioRxiv, medRxiv, or arXiv and needs a double-column layout with embedded figures and reference placeholders before final LaTeX compilation.
- Journal submission shell: A target journal (Nature, Science, PLOS ONE) requires a specific double-column format; the skill produces a layout-compliant PDF shell that can be refined in Word or LaTeX before submission.
- Automated report generation: A recurring experiment (e.g., weekly QC, screening batch) must produce a standardized PDF report with updated data, figures, and statistics without manual assembly.
- Data package documentation: A dataset or analysis package is being deposited and requires a human-readable PDF companion document describing methods, key results, and figure legends.
- Collaboration handoff: A researcher is passing work to a collaborator or PI and needs a single consolidated document instead of scattered files.
- Regulatory or audit documentation: A GLP/GMP or audit trail requires a formatted report with embedded evidence (figures, tables, timestamps) in a fixed, non-editable layout.
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.
- 8d ago First seen · 251 lines · 74 tokens per session scan A d6b87fd69f69
generate_double_column_pdf_report is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 74 tokens to every session and 3,829 once invoked, about $0.0004 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 2026-09-03.
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