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 gpsaggese/helpers --skill text.convert_to_latexgit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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/gpsaggese/helpers/text.convert_to_latex)<a href="https://agentmods.dev/skills/gpsaggese/helpers/text.convert_to_latex"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.convert_to_latex/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/gpsaggese/helpers/text.convert_to_latex"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.convert_to_latex.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 | $0.00008 | $0.00482 |
| Opus 5.5 | $0.00003 | $0.00193 |
| Sonnet 5.5 | $0.00002 | $0.00096 |
| Haiku 4.5 | $0.00001 | $0.00048 |
Grade A, and why
text.convert_to_latex 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 yesterday.
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.
What it actually says
Goal
- Convert formulas to Latex leaving the structure of the text exactly the same
- Use the rules and conventions in
.claude/skills/latex.rules.md
Workflow
Convert Mathematical Formulas
- Convert mathematical formulas to Latex without changing their meaning
and formatting so that they are easily readable
-
Bad (uses Unicode symbols instead of LaTeX)
P(M | D) ∝ P(D | M) P(M) -
Good (uses LaTeX macros for a readable formula)
$$ \Pr(M | D) \propto \Pr(D | M)\, \Pr(M) $$ -
Bad (plain text notation, not LaTeX)
a* = argmax_a E_{M~P(M|D)}[Goal | do(a), M] -
Good (LaTeX formula)
$$ a^* = \arg\max_a \EE_{M | \Pr(M | D)} \left[ \text{Goal} | do(a), M \right] $$
-
Convert Symbols to Latex
- Convert symbols into Latex ones, together with variables if needed:
- Bad (Unicode arrow instead of LaTeX)
X → Y - Good (LaTeX symbol)
$X \to U$
- Bad (Unicode arrow instead of LaTeX)
- If there are expressions then leave them unchanged
- Bad
"If battery low" → seek charging station - Bad
"If battery low" $\to$ seek charging station
- Bad
Lint the File
- After the conversion run the command:
> lint_text.py -i <FILE>
Verification
- Confirm all formulas render correctly in LaTeX
- Confirm non-formula expressions remain unchanged
- Confirm
lint_text.py -i <FILE>completes without errors
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.
- yesterday First seen · 71 lines · 8 tokens per session scan A d2d27e68fb08
text.convert_to_latex is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 8 tokens to every session and 482 once invoked, about $0.0000 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 2026-11-06.
text.convert_to_latex compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| text.convert_to_latexgpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 8 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | today | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | today | Apache-2.0 | A | 205 | Claude Code |