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/verymath/ai4math-writing/notation-and-variable-consistencynpx skills add VeryMath/AI4Math-Writing --skill notation-and-variable-consistencygit clone --depth 1 https://github.com/VeryMath/AI4Math-WritingWhat 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 | $0.00035 | $0.00325 |
| Opus 5 | $0.00017 | $0.00162 |
| Sonnet 5 | $0.00007 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
notation-and-variable-consistency 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.
What it actually says
Notation And Variable Consistency
Maintain a symbol ledger so notation supports comprehension and does not hide mathematical errors.
Inputs
- Full draft or selected sections in TeX, Markdown, or plain text.
- Definitions, theorem statements, proof notes, and formula-heavy sections.
- Optional notation conventions from the target venue or research group.
Output Contract
Return:
- Symbol ledger: symbol, first definition, type/domain, scope, dimensions, and where it is reused.
- Drift report: overloaded symbols, undefined symbols, renamed objects, index changes, and conflicting conventions.
- Patch suggestions: concrete text or TeX edits with meaning-preservation notes.
Workflow
- Scan definitions, theorem statements, algorithms, equations, proofs, and figures for symbols.
- Record first-use locations and expected mathematical roles.
- Compare later uses against the ledger.
- Flag domain, dimension, index, and notation conflicts.
- Propose minimal renaming or clarification edits.
Review Rules
- Do not rename symbols globally without checking proof dependencies.
- Treat variable alignment as semantic, not cosmetic, when it affects indexing, dimensions, or object identity.
- Preserve common field conventions such as
n,d,x,X,A,\epsilon, and\deltaunless the draft uses them inconsistently.
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 · 43 lines · 35 tokens per session scan A 8b46535aed71
notation-and-variable-consistency is a skill published in the GitHub repository VeryMath/AI4Math-Writing (5 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 325 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 2026-08-31.
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