run-modeling-project

run-modeling-project is a skill for Codex from chengziyue1222/math-model-agent. It costs 48 tokens per session (1,449 once invoked), scanned A, original, MIT.

A coordinator for a complete mathematical-modeling project, from defining the problem through analysis, modeling, figures, paper writing, review, and delivery.

In plain words
What is it for?
Use it to organize a modeling workflow, choose a project profile, hand work between specialized skills, and prepare a reviewed final paper.
Why use it?
It keeps the separate research, data, solving, writing, and review tasks connected and ensures the final work is reproducible.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to organize a modeling workflow, choose a project profile, hand work between specialized skills, and prepare a reviewed final paper.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chengziyue1222/math-model-agent/run-modeling-project
Install

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.

Any agent
npx skills add chengziyue1222/math-model-agent --skill run-modeling-project
Clone the repo
git clone --depth 1 https://github.com/chengziyue1222/math-model-agent

Made for: Codex.

Wrote 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.

agentmods badge for run-modeling-project

README.md
[![agentmods](https://agentmods.dev/badge/skills/chengziyue1222/math-model-agent/run-modeling-project/github.svg)](https://agentmods.dev/skills/chengziyue1222/math-model-agent/run-modeling-project)
Your own site
<a href="https://agentmods.dev/skills/chengziyue1222/math-model-agent/run-modeling-project"><img src="https://agentmods.dev/badge/skills/chengziyue1222/math-model-agent/run-modeling-project/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.

agentmods 80×15 button for run-modeling-project

Your own site · 80×15
<a href="https://agentmods.dev/skills/chengziyue1222/math-model-agent/run-modeling-project"><img src="https://agentmods.dev/badge/skills/chengziyue1222/math-model-agent/run-modeling-project.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,449 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01449
Opus 5.5 $0.00019 $0.00580
Sonnet 5.5 $0.00010 $0.00290
Haiku 4.5 $0.00005 $0.00145

Measured 3d ago against content hash b94127b8c019, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

run-modeling-project 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 3d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/advance_project.py, scripts/execute_skill.py, scripts/project_state.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/run-modeling-project/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run Modeling Project

Plan each question's saved result, falsification check and figure purpose before solving. Keep the selected venue separate from the process profile; a failed check returns to the earliest affected stage and invalidates dependent figures and prose.

Coordinate the existing Skills around a strong final paper. The project record supports reproducibility, but it is not a second product or a substitute for modeling.

Workflow

  1. Read references/workflow-profiles.md and choose rapid, competition (the default), or audit before creating deliverables.
  2. Read references/distilled-competition-playbook.md, then record the problem, data sources, deliverables and venue constraints. Apply CUMCM-only layout rules only when that venue requires them.
  3. Invoke analyze-model-data where data is used and select-model for decomposition, dependency analysis and structure opportunities. Classify each needed input as observed, externally supplied, model-derived, or unavailable. Before blocking on a missing derived input, decide whether the problem expects it to be estimated from information available at the decision time; if so, make that estimation a leakage-safe upstream subproblem. Invoke research-model-literature when external facts, parameters, datasets, or citations affect a claim.
  4. Invoke solve-model for equations, algorithms, baselines, constraints, sensitivity and independent checks.
  5. Invoke make-model-figures only after identifying the conclusions each figure must establish. Use the shared algorithms.figures registry through get_spec, list_figures and get_figure. Select a dedicated renderer with fields matching the saved model results; use mode="formal". Inspect the live registry and generated capability matrix for current structured formal routes. Preview uses the same validators with explicit mode="preview", simulated=True. Calling successfully does not establish paper suitability; verify the actual output and its evidence. English keys and registered Chinese names identify the same renderer. Pass provenance, units, independent unit and actual interval bounds into the figure handoff; never synthesize missing statistics. Carry the user's visual preferences with the figure handoff. For a new end-to-end project or a cross-stage revision, read references/research-evidence-handoffs.md; reuse existing records rather than creating parallel ledgers.
  6. Invoke write-model-paper to turn verified results into a contest paper, then review-model-paper for reader-visible and technical review.
  7. In competition, produce a formal PDF by default (PDF or DOCX is sufficient) and a passing submission preflight. Provide a support archive and clean-directory reproduction when the selected venue requires them. In audit, add both document formats, independent review, HMAC and complete hash/producer evidence.

Read the full file on GitHub · 71 lines

Changes

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.

  1. 3d ago Changed · +21 lines b94127b8c019
  2. 1mo ago Changed · +10 lines e3648856d0d3
  3. 2mo ago First seen · 40 lines · 48 tokens per session scan A 7aac4f43981e

Subscribe to this mod's changes

run-modeling-project is a skill published in the GitHub repository chengziyue1222/math-model-agent (24 stars, last pushed 4d ago), licensed MIT. It adds 48 tokens to every session and 1,449 once invoked, about $0.0002 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.

Related

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