New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Final Method Explainer

by zhnnky329 in zhnnky329/MathModeling-skills

Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.

MITAuto-check passed

Install Final Method Explainer

skills CLI
$ npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zhnnky329/MathModeling-skills final-method-explainer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/final-method-explainer .claude/skills/final-method-explainer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
final-method-explainer
GitHub stars
1.1k
Token cost
~526 tokens
SKILL.md length
223 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.

  • Works in 5 steps: Resolve the final method and baseline… → Transcribe the human's selection… → Explain → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Final Method Explainer is an agent skill from zhnnky329/MathModeling-skills. Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 面向数学建模竞赛的 Claude Code / Codex Skills ，支持分阶段建模流程与 Python、MATLAB/北太天元代码分支。 The licence is MIT.

Example prompts

  • “/final-method-explainer”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Resolve the final method and baseline from the latest non-stale human decisions.
  2. Transcribe the human's selection rationale faithfully and cite its decision_id.
  3. Explain
  4. Ensure formulas match code and symbol table.
  5. Save methods/Qx/qx_final_method_explanation.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 0b46e9c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Final Method Explainer loads about 526 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 223 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~526

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zhnnky329/MathModeling-skills at commit 0b46e9c, republished under its MIT licence (© zhnnky329). 223 words, ~526 tokens.

Download SKILL.mdSave it as .claude/skills/final-method-explainer/SKILL.md (or your agent's skills folder).
name
final-method-explainer
description
Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.

Purpose

Explain the selected method completely without re-authoring why the human chose it.

Preconditions

  • rigor_profile is submission or writer handoff is explicitly requested.
  • Human method choice and result verdicts are recorded in qx_decisions.jsonl.
  • Approved code ran and final result/robustness evidence exists.

Sources

Use:

  • qx_method_card.md
  • qx_decisions.jsonl
  • planning/model_assumptions.md
  • planning/symbol_table.md
  • qx_code_plan.md
  • final run summary and result analysis
  • robustness summary/report

Read legacy candidate and iteration logs only for migration.

Workflow

  1. Resolve the final method and baseline from the latest non-stale human decisions.
  2. Transcribe the human's selection rationale faithfully and cite its decision_id.
  3. Explain:
    • goal and scope;
    • assumptions, including human-confirmed necessity labels;
    • symbols and units;
    • mathematical formulation;
    • inputs, outputs, objective/criteria, and constraints;
    • solution procedure;
    • baseline and why it is valid;
    • fallback trigger and whether it fired;
    • validation, robustness, limitations, and applicable range.
  4. Ensure formulas match code and symbol table.
  5. Save methods/Qx/qx_final_method_explanation.md.

Rules

  • Do not infer the chosen method from best metrics.
  • Do not invent the why-this-method narrative.
  • Do not create a new pending decision artifact.
  • Do not restate a long iteration diary; include only material eliminated alternatives and evidence.
  • Do not include unsupported numerical claims.

Verification

  • Final method and rationale trace to decision IDs.
  • Assumptions, symbols, formulas, units, and code agree.
  • Baseline is usable rather than merely diagnostic.
  • Risks, fallback behavior, and limitations are explicit.
  • The explanation is self-contained enough for the writer.

© zhnnky329, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .codex/skills/final-method-explainer of zhnnky329/MathModeling-skills.

Open the folder on GitHubat commit 0b46e9c

Compare with similar skills

Final Method Explainer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Final Method Explainer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Final Method Explainer this skillzhnnky329/MathModeling-skills1.1k—~526Automated safety check: PassMIT
Understand ExplainEgonex-AI/Understand-Anything86k1 repos~1.3kAutomated safety check: PassMIT
Explain Usageasgeirtj/system_prompts_leaks69k—~345Automated safety check: PassCC0-1.0
Santa Methodaffaan-m/ECC275k3 repos~3.1kAutomated safety check: PassMIT
Santa Methodaffaan-m/ECC275k—~2.1kAutomated safety check: PassMIT
Santa Methodaffaan-m/ECC275k—~1.9kAutomated safety check: PassMIT

Similar skills

  • Understand Explain

    Egonex-AI/Understand-Anything

    Gives an in-depth explanation of one file, function or module by reading the project's knowledge graph and checking that the graph is still fresh.

    86k GitHub starsUsed in 1 repo~1.3k tokens
    DevelopmentAuto-check passed

  • Explain Usage

    asgeirtj/system_prompts_leaks

    Explain where this session's tokens went, with one simple chart in plain language.

    69k GitHub stars~345 tokensUpdated today
    Writing & ContentAuto-check passed

  • Santa Method

    affaan-m/ECC

    Multi-agent adversarial verification: two independent reviewers with the same rubric must both pass before output ships, with a fix-and-re-review convergence loop and human escalation cap.

    275k GitHub starsUsed in 3 repos~3.1k tokens
    EducationAuto-check passed

  • Santa Method

    affaan-m/ECC

    収束ループを持つマルチエージェント敵対的検証。2つの独立したレビューエージェントが両方合格して初めて出力を出荷できます。

    275k GitHub stars~2.1k tokensUpdated 3 days ago
    Auto-check passed

  • Santa Method

    affaan-m/ECC

    具有收敛循环的多智能体对抗验证。两个独立的审查代理必须都通过，输出才能发送。

    275k GitHub stars~1.9k tokensUpdated 3 days ago
    Auto-check passed

  • Logic Explain

    sickn33/agentic-awesome-skills

    Explain what a specific piece of code actually does for a given input by producing a step-by-step execution trace (interprocedural, with name resolution and type transitions).

    47k GitHub starsUsed in 1 repo~894 tokens
    Auto-check passed

More from zhnnky329/MathModeling-skills

All 29 skills in this repo

  • Method Selector

    zhnnky329/MathModeling-skills

    Build and risk-screen a compact role-based method shortlist for a mathematical-modeling subquestion.

    1.1k GitHub stars~1.6k tokensUpdated 14 days ago
    Auto-check passed

  • Problem Classifier

    zhnnky329/MathModeling-skills

    Classify each parsed mathematical-modeling subquestion by required output and structure, surface ambiguous framing trade-offs for human choice, and record primary/secondary task types without…

    1.1k GitHub stars~611 tokensUpdated 14 days ago
    Auto-check passed

  • Data Auditor Cleaner

    zhnnky329/MathModeling-skills

    Map contest attachments to subquestions, audit and clean raw data, and emit one reusable data profile with quality, coverage, imbalance, concentration, and method-readiness evidence for downstream…

    1.1k GitHub stars~1.1k tokensUpdated 14 days ago
    Auto-check passed

  • Decision Prompt Builder

    zhnnky329/MathModeling-skills

    Build one compact choice card at a genuine mathematical-modeling judgment point.

    1.1k GitHub stars~837 tokensUpdated 14 days ago
    Auto-check passed

  • Matlab Model Code Generator

    zhnnky329/MathModeling-skills

    Generate and run minimal reproducible MATLAB or Beita Tianyuan compatible code for the human-approved main method and usable baseline, with compact experiment artifacts and a canonical run summary.

    1.1k GitHub stars~685 tokensUpdated 14 days ago
    Auto-check passed

  • Model Code Analyzer

    zhnnky329/MathModeling-skills

    Translate a human-approved main method and usable baseline into a minimal language-neutral implementation and experiment contract.

    1.1k GitHub stars~881 tokensUpdated 14 days ago
    Auto-check passed

Questions about Final Method Explainer

What does Final Method Explainer do?

Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. Final Method Explainer is an agent skill from zhnnky329/MathModeling-skills. Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.

How do I install Final Method Explainer in Claude Code?

Run `npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer -a claude-code`. Or copy the skill folder (.codex/skills/final-method-explainer in zhnnky329/MathModeling-skills) into .claude/skills/final-method-explainer in your project. Claude Code loads it when a task matches its description.

How do I install Final Method Explainer in Codex?

Run `npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer -a codex`. Or copy the skill folder (.codex/skills/final-method-explainer in zhnnky329/MathModeling-skills) into .agents/skills/final-method-explainer in your project. Codex loads it when a task matches its description.

Can I use Final Method Explainer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/final-method-explainer, .gemini/skills/final-method-explainer, .github/skills/final-method-explainer and .opencode/skills/final-method-explainer in your project.

What does Final Method Explainer need to run?

SKILL.md names no scripts, command-line tools or credentials: Final Method Explainer is instructions for the agent only.

Does Final Method Explainer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Final Method Explainer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Final Method Explainer use?

Final Method Explainer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Final Method Explainer use?

About 526 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Final Method Explainer?

Skills that share tags, products or a category with Final Method Explainer: Understand Explain (Egonex-AI/Understand-Anything, 86k stars), Explain Usage (asgeirtj/system_prompts_leaks, 69k stars), Santa Method (affaan-m/ECC, 275k stars) and Santa Method (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Final Method Explainer?

zhnnky329 (a GitHub user) maintains it in zhnnky329/MathModeling-skills, which has 1,059 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 24, 2026.

Source: zhnnky329/MathModeling-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.