mathodology-agent-pipeline SKILL.md skillA
mathodology-agent-pipeline from sweetcornna/mathodology is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add sweetcornna/mathodology/mathodology-agent-pipeline@git:20261028.f695e6aPins git:20261028.f695e6a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- sweetcornna/mathodology
- Path
.claude/skills/mathodology-agent-pipeline/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261028.f695e6a, committed Oct 28, 2026
- First version recorded
- Jun 6, 2026
- Size
- 2,535 bytes
- Repository stars
- 320
- License
- MIT
Use when planning a modeling solution, selecting the next useful step or briefing a specialist.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Mathodology Modeling Prompts Use the following questions in whatever order the task needs. They are prompts for reasoning, not mandatory stages or files. ## Understand the problem What decision is the reader trying to make? What is given, unknown or required? Which mechanisms must the solution represent? Check the actual contest rules when applicable, including deadline, page limits and AI-use requirements. ## Formulate a model Start with a useful baseline. Define variables, units, assumptions, constraints and the objective. Compare plausible alternatives when there is a real choice; do not invent extra models to meet a quota. Explain why the added complexity changes the answer. Check identifiability, data requirements and limiting cases. ## Challenge the result Which observation could disprove the model? Can a simpler baseline perform as well? Test influential assumptions and plausible adverse scenarios. Separate parameter uncertainty, observation noise and structural uncertainty. Match the paper's claims to the implemented mathematics and the data actually used. ## Communicate the answer Answer the problem's questions with interpretable quantities and limitations. …
Read the whole file at its exact version.
How to install
mdr add sweetcornna/mathodology/mathodology-agent-pipeline@sha256:41ef1a808ed43c81The line at the top of this page pins the label git:20261028.f695e6a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_3mn4wetsm6i4uayh)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Jun 6, 2026 and Oct 28, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261028.f695e6a latest | 2026-10-28 | f695e6a | 2,535 B | A | view · diff |
| git:20261022.4d8df2f | 2026-10-22 | 4d8df2f | 2,385 B | A | view · diff |
| git:20260907.0cfcd93 | 2026-09-07 | 0cfcd93 | 2,465 B | A | view · diff |
| git:20260726.f0a9cb8 | 2026-07-26 | f0a9cb8 | 9,751 B | A | view · diff |
| git:20260704.8b57eb0 | 2026-07-04 | 8b57eb0 | 9,473 B | A | view · diff |
| git:20260606.188c3b7 | 2026-06-06 | 188c3b7 | 9,245 B | A | view · diff |
| git:20260606.0028209 | 2026-06-06 | 0028209 | 6,800 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2535 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
sweetcornna/mathodology · 320 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3mn4wetsm6i4uayh GET https://markdownregistry.com/api/v1/resolve?ref=sweetcornna/mathodology/mathodology-agent-pipeline GET https://markdownregistry.com/api/v1/blob/41ef1a808ed43c81cc6b462de59b8e3db16f607e2610a75cc5eae1d09eefbb2f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.