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 ur-grue/autopunk-media-skills --skill pdf-table-extractor-briefgit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/pdf-table-extractor-brief)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/pdf-table-extractor-brief"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/pdf-table-extractor-brief/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/ur-grue/autopunk-media-skills/pdf-table-extractor-brief"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/pdf-table-extractor-brief.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 | $0.00061 | $0.02670 |
| Opus 5 | $0.00030 | $0.01335 |
| Sonnet 5 | $0.00012 | $0.00534 |
| Haiku 4.5 | $0.00006 | $0.00267 |
Grade A, and why
pdf-table-extractor-brief 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Table Extractor Brief
What This Skill Does
Produces a structured extraction plan and clean spreadsheet template for pulling tabular data out of a PDF document — identifying the table structure, defining column headers, flagging extraction pitfalls, and providing a ready-to-use template that ensures the data lands in a consistent, analysable format.
When To Use This Skill
- You have received a government report, budget document, or public record as a PDF and need the tables in spreadsheet format for analysis
- You are dealing with a PDF where automated extraction tools (Tabula, Camelot, Adobe Export) produce messy or incomplete results and you need a manual or semi-automated extraction plan
- You have multiple PDFs with similar table structures and need a standardized template to ensure consistency across extractions
- You are assigning the extraction task to a research assistant or intern and need clear instructions that prevent common errors
What You Need To Provide
Required: A description of the PDF and its table structure — the document title, what the table contains, how many columns and rows (approximate is fine), and what the data represents. If possible, paste or describe the first few rows of the table so the assistant can see the structure. Alternatively, provide the actual PDF content if you have extracted the raw text.
Optional: The extraction tool you plan to use (Tabula, Camelot, manual copy-paste, Adobe Export, or "not sure — recommend one"); any known problems with the PDF (merged cells, multi-line row entries, footnotes embedded in the table, inconsistent formatting across pages); the analysis you plan to run on the extracted data (this helps the assistant optimize the template for your downstream use case).
How the Assistant Approaches This
- Analyzes the table structure. From the description or pasted content, identifies: number of columns, data types per column (text, integers, currency, percentages, dates), header rows vs. data rows, whether the table spans multiple pages, and whether any cells are merged or contain multi-line entries. This structural map is the foundation of the extraction plan.
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 · 135 lines · 61 tokens per session scan A 275b97fac64d
pdf-table-extractor-brief is a skill published in the GitHub repository ur-grue/autopunk-media-skills (30 stars, last pushed 11d ago), licensed MIT. It adds 61 tokens to every session and 2,670 once invoked, about $0.0003 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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