SkillsBench is a benchmark for measuring how effectively AI agents use modular skills—folders containing instructions, scripts, and resources—to complete specialized tasks. It helps researchers and developers evaluate both skill quality and agent behavior, including tasks that require combining multiple skills. The catalogue’s skills and instructions are evaluated as part of this workflow.
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 agentmods add skills/benchflow-ai/skillsbench/markernpx skills add benchflow-ai/skillsbench --skill markergit clone --depth 1 https://github.com/benchflow-ai/skillsbenchWrote 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/benchflow-ai/skillsbench/marker)<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/marker"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/marker.svg" alt="Measured on agentmods" 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 | $0.00045 | $0.00490 |
| Opus 5 | $0.00023 | $0.00245 |
| Sonnet 5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
marker 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- marker — 100% identical, 0 lines differ
What it actually says
Marker PDF-to-Markdown Converter
Convert PDFs to Markdown while preserving LaTeX formulas and document structure. Uses the marker_single CLI from the marker-pdf package.
Dependencies
marker_singleon PATH (pip install marker-pdfif missing)- Python 3.10+ (available in the task image)
Quick Start
from scripts.marker_to_markdown import pdf_to_markdown
markdown_text = pdf_to_markdown("paper.pdf")
print(markdown_text)
Python API
pdf_to_markdown(pdf_path, *, timeout=600, cleanup=True) -> str- Runs
marker_single --output_format markdown --disable_image_extraction cleanup=True: use a temp directory and delete after reading the Markdowncleanup=False: keep outputs in<pdf_stem>_marker/next to the PDF- Exceptions:
FileNotFoundErrorif the PDF is missing,RuntimeErrorfor marker failures,TimeoutErrorif it exceeds the timeout
- Runs
- Tips: bump
timeoutfor large PDFs; setcleanup=Falseto inspect intermediate files
Command-Line Usage
# Basic conversion (prints markdown to stdout)
python scripts/marker_to_markdown.py paper.pdf
# Keep temporary files
python scripts/marker_to_markdown.py paper.pdf --keep-temp
# Custom timeout
python scripts/marker_to_markdown.py paper.pdf --timeout 600
Output Locations
cleanup=True: outputs stored in a temporary directory and removed automaticallycleanup=False: outputs saved to<pdf_stem>_marker/; markdown lives at<pdf_stem>_marker/<pdf_stem>/<pdf_stem>.mdwhen present (otherwise the first.mdfile is used)
Troubleshooting
marker_singlenot found: installmarker-pdfor ensure the CLI is on PATH- No Markdown output: re-run with
--keep-temp/cleanup=Falseand checkstdout/stderrsaved in the output folder
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.
- 2d ago First seen · 52 lines · 45 tokens per session scan A c931b6398d4a
marker is a skill published in the GitHub repository benchflow-ai/skillsbench (1,747 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 490 once invoked, about $0.0002 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.
Other skills, from other repositories
document-organization-pipeline
End-to-end pipeline for extracting, classifying, and organizing documents by subject.
pdf-calendar-parsing
Extract calendar events, blocks, and time slots from PDF calendar files using pdfplumber.
file-organizer-by-subject
Organize files into subject folders using keyword-based classification of titles and abstracts, with fallback to full text extraction.
pdf-form-filling
Fill PDF form fields programmatically using Python libraries like pypdf or pdfrw.
pdf-text-extraction
Extract text content from PDF files for analysis and classification.
pdf-inspection
Techniques for inspecting PDF form fields and their properties using Python libraries like pypdf.