Borrowing it
Nothing to install: this file belongs to Alexander-M-Dickerson/ai-asset-pricing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Alexander-M-Dickerson/ai-asset-pricing/main/.claude/skills/latex-doctor/SKILL.mdgit clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricingWrote 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/alexander-m-dickerson/ai-asset-pricing/latex-doctor)<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/latex-doctor"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/latex-doctor/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/alexander-m-dickerson/ai-asset-pricing/latex-doctor"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/latex-doctor.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 | $0.00021 | $0.01096 |
| Opus 5 | $0.00010 | $0.00548 |
| Sonnet 5 | $0.00004 | $0.00219 |
| Haiku 4.5 | $0.00002 | $0.00110 |
Grade A, and why
latex-doctor 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 13d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX Doctor Skill
The "clean room" skill. Run to get a .tex file into a consistent, compilable state with verified section markers.
Examples
/latex-doctor-- full cleanup of the main .tex file/latex-doctor comments-- only strip comments/latex-doctor markers-- only verify section markers/latex-doctor compile-- only fix compilation issues/latex-doctor path/to/file.tex-- clean a specific file
Workflow
Step 1: Initial Compile
- Run the compile command (use pdflatex/bibtex paths from canonical local state reported by
tools/bootstrap.py audit, or a repo-root compatibility shim if present):cd {latex_dir} && pdflatex -interaction=nonstopmode {file} && bibtex {stem} && pdflatex -interaction=nonstopmode {file} && pdflatex -interaction=nonstopmode {file} - Parse the log for:
- Errors: count and categorize (missing packages, undefined commands, etc.)
- Warnings: overfull/underfull hbox, missing references, font warnings
- Report: "Current state: N errors, M warnings"
Step 2: Comment Cleanup
Scan the .tex file and remove unnecessary comments:
REMOVE:
- Lines that are 100% LaTeX comments (
% some old note) - Trailing inline comments (keep the code, strip the
% commentpart) - Blocks of commented-out code (
% \begin{table}...% \end{table})
PRESERVE (never touch):
%% BEGIN keyand%% END keysection markers% !TeXdirectives%inside\url{},\verb||, or verbatim environments- Comments that are clearly documentation (start with
%% NOTE:or similar)
Report: "Removed N comment lines (K characters saved)"
Step 3: Verify Section Markers
Verify %% BEGIN/END markers for consistency.
- Scan the
.texfile for all%% BEGIN keyand%% END keymarkers - If the project's
CLAUDE.mddefines registered section keys, cross-reference against them - Check for:
- Missing markers:
\section{}commands without%% BEGIN/ENDpairs - Orphaned markers:
%% BEGIN keywithout matching%% END key(or vice versa) - Unknown keys: Markers with keys not in the registered list (if one exists)
- Ordering:
%% END keyappears before the next%% BEGIN key
- Missing markers:
- Fix any issues found, or flag for human review if ambiguous
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.
- 13d ago First seen · 130 lines · 21 tokens per session scan A f14420b43930
latex-doctor is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 1,096 once invoked, about $0.0001 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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