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 flonat/flonat-research --skill verify-mathgit clone --depth 1 https://github.com/flonat/flonat-researchWrote 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/flonat/flonat-research/verify-math)<a href="https://agentmods.dev/skills/flonat/flonat-research/verify-math"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/verify-math/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/flonat/flonat-research/verify-math"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/verify-math.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00085 | $0.01893 |
| Opus 5 | $0.00043 | $0.00946 |
| Sonnet 5 | $0.00017 | $0.00379 |
| Haiku 4.5 | $0.00009 | $0.00189 |
Grade A, and why
verify-math 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 8d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify Math: Route a Math Claim Through the Verification Spectrum
The front door for verifying self-authored mathematics. Classify each claim, dispatch it to the strongest applicable rung(s), and merge the sub-verdicts into one report. This skill does not verify anything itself — it routes and aggregates; the rungs do the work.
When to Use
- You have a Proposition / Theorem / Conjecture (or a whole paper's worth) and want it verified with the right method(s), possibly combined.
verify-math, "verify this theorem", "check all the math in the paper", "is this result correct".- The operational front end of
mark-unverified: run this before asserting a self-authored result.
When NOT to Use
- You already know the single method → call it directly (
numerical-check,symbolic-check,lean-check, ordomain-reviewer). - Non-mathematical claims (citations, prose) →
proofread,bib-validate,domain-reviewer.
The verification spectrum (the rungs it routes to)
| Rung | Method | Can it… | Tool |
|---|---|---|---|
| R0 | adversarial deductive read | catch conceptual/assumption gaps (no proof) | domain-reviewer (agent) |
| R1 | numerical falsification | falsify definitively; support (never prove) | numerical-check |
| R2 | symbolic / CAS | prove or falsify an algebra step | symbolic-check |
| R3 | formal Lean proof | prove (strongest) | lean-check |
Procedure
1. Decompose the result into atomic claims
A theorem is usually several obligations. List each separately: the algebra steps, the distributional/parameter-space claims, the load-bearing lemma, the conceptual assumptions. Verify each with the rung that fits — a single "verdict" on a compound theorem hides which part is shaky.
When the claim lives in LaTeX, extract a self-contained theorem/proof block before dispatch:
uv run python <skill-dir>/scripts/extract_block.py paper/sections/model.tex "prop:concavity"
The helper includes an immediately following proof and any displayed equations referenced by label. Inspect the output and add missing definitions or assumptions before giving it to a reviewer or computational rung.
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.
- 8d ago First seen · 125 lines · 85 tokens per session scan A c29c2ed7727f
verify-math is a skill published in the GitHub repository flonat/flonat-research (133 stars, last pushed 16d ago), licensed MIT. It adds 85 tokens to every session and 1,893 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 2026-09-03.
Other skills, from other repositories
latex-compile
Compile a LaTeX document and fix every error plus aesthetic issue (overfull/underfull boxes, widows, alignment, fonts) for a clean PDF and log. Use this instead of running pdflatex/latexmk manually — it avoids the latexmk stale-log trap and silent grep failures on binary log output, and it reformats rather than…
nb-to-wolfbook
Convert Mathematica .nb or .m files to Wolfbook .wb format so they open and run in VS Code. Use when bringing existing .nb/.m files into Wolfbook, or to make an existing .wb bridge-safe.
sync-wb-nb
Propagate a change made in a Wolfbook .wb notebook into the paired .nb notebook so the two stay identical. Use immediately after every .wb edit.
wolfram-headless
Run heavy Wolfram Language (wolframscript) computations from Claude Code reliably, and diagnose the misleading "The product exited because of a license error". Use whenever invoking wolframscript on a non-trivial computation, when a wolframscript job dies with a "license error" despite a valid license, or when Wolfram…
cross-validate
Format a result, derivation, or numerical value for independent verification by a second model. Use when you want a cross-check on an important or contested result.
verify-citation
Confirm a paper actually exists (arXiv / Semantic Scholar / OpenAlex) before citing it. Use before writing any new citation.