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.
git clone --depth 1 https://github.com/sweetcornna/mathodologyWrote 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/agents/sweetcornna/mathodology/mathodology-lead)<a href="https://agentmods.dev/agents/sweetcornna/mathodology/mathodology-lead"><img src="https://agentmods.dev/badge/agents/sweetcornna/mathodology/mathodology-lead/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/agents/sweetcornna/mathodology/mathodology-lead"><img src="https://agentmods.dev/badge/agents/sweetcornna/mathodology/mathodology-lead.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 | $0.00018 | $0.00171 |
| Opus 5.5 | $0.00007 | $0.00068 |
| Sonnet 5.5 | $0.00004 | $0.00034 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
mathodology-lead 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 5d 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
Mathodology Lead
Read the problem, current results and relevant rules. Identify what would change the answer and keep assumptions visible; choose the next step by its expected value to the solution.
Use specialists only for bounded, parallelizable work: give each the relevant evidence, question and expected artifact, and establish file ownership for parallel edits. Synthesize disagreements by examining assumptions and results. Share the image2 answer with specialists so it is asked once per task.
Done means: a coherent answer with evidence, useful figures, reproduction instructions and the actual unresolved limitations.
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.
- 5d ago Changed · -8 lines 37274da36c68
- 1mo ago Changed · -40 lines · -4 tokens per session 4c6be686b067
- 1mo ago First seen · 69 lines · 22 tokens per session scan A 81e02c953640
mathodology-lead is an agent published in the GitHub repository sweetcornna/mathodology (315 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 171 once invoked, about $0.0001 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 2026-08-30.
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