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 Zhang-Henry/CoEvoSkills --skill evo-latex-formula-extractiongit clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkillsWrote 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/zhang-henry/coevoskills/evo-latex-formula-extraction)<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-latex-formula-extraction"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-latex-formula-extraction/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/zhang-henry/coevoskills/evo-latex-formula-extraction"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-latex-formula-extraction.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 | $0.00072 | $0.00604 |
| Opus 5 | $0.00036 | $0.00302 |
| Sonnet 5 | $0.00014 | $0.00121 |
| Haiku 4.5 | $0.00007 | $0.00060 |
Grade A, and why
evo-latex-formula-extraction 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX Formula Extraction from PDF
This skill extracts display-mode LaTeX formulas from PDF research papers, cleans them, validates bracket matching, and produces a markdown output file.
Workflow
- Extract: Use marker-pdf to convert PDF to markdown (preserves LaTeX formulas)
- Detect: Use surya layout detection to find equation bounding boxes
- Cross-reference: Use texify on cropped equation regions for verification
- Clean: Remove
\tag{}, trailing equation numbers, trailing commas/periods - Validate: Check bracket matching (
\left/\rightpairs) and command spelling - Fix: Generate corrected versions for formulas with syntax errors
- Output: Write original formulas followed by fixed versions
Key Functions
extract_formulas_with_marker(pdf_path, output_dir)- Extract formulas via marker-pdfdetect_equation_bboxes(pdf_path)- Find equation regions using surya layoutextract_formulas_with_texify(pdf_path, bboxes)- Extract formulas from cropped regionsclean_formula(formula)- Remove tags, numbers, punctuationvalidate_brackets(formula)- Check \left/\right delimiter matchingfix_bracket_mismatches(formula)- Fix mismatched delimiter pairscheck_misspelled_commands(formula)- Detect misspelled LaTeX commandsrun_extraction_pipeline(pdf_path, output_path)- End-to-end entry pointvalidate_output(output_path)- Validate output file format
Usage Example
import sys
sys.path.insert(0, '/app/environment/skills/evo-latex-formula-extraction/scripts')
from utils import run_extraction_pipeline, validate_output
# Run the full pipeline
pdf_path = '/root/latex_paper.pdf'
output_path = '/root/latex_formula_extraction.md'
original, fixed = run_extraction_pipeline(pdf_path, output_path)
# Validate the output
validate_output(output_path)
Important Notes
- Only display-mode formulas (on their own line) are extracted, not inline math
- Bracket validation covers:
(),[],\{\},\langle\rangle,|,\| - Fix only syntax/typographical errors, never mathematical content
- Original erroneous formulas are kept; fixed versions are appended after all originals
- Deduplication is applied to avoid repeated formulas
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 · 56 lines · 72 tokens per session scan A 28d7f9a5b5b0
evo-latex-formula-extraction is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 22d ago), licensed Apache-2.0. It adds 72 tokens to every session and 604 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 2026-08-30.
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