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Agent skill

Result Report Generator

by zhnnky329 in zhnnky329/MathModeling-skills

Summarize modeling experiment evidence, compare the approved main method with a usable baseline, surface fallback triggers, and produce a decision-point or final report without creating routine…

MITAuto-check passed

Install Result Report Generator

skills CLI
$ npx skills add zhnnky329/MathModeling-skills --skill result-report-generator -a claude-code

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

GitHub CLI
$ gh skill install zhnnky329/MathModeling-skills result-report-generator --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/result-report-generator .claude/skills/result-report-generator && 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
result-report-generator
GitHub stars
1.1k
Token cost
~689 tokens
SKILL.md length
302 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Summarize modeling experiment evidence, compare the approved main method with a usable baseline, surface fallback triggers, and produce a decision-point or final report without creating routine…

  • SKILL.md covers Ordinary lean round, Decision-point round and Final/submission mode
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Result Report Generator is an agent skill from zhnnky329/MathModeling-skills. Summarize modeling experiment evidence, compare the approved main method with a usable baseline, surface fallback triggers, and produce a decision-point or final report without creating routine per-round prose.

Its SKILL.md is about 690 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

  • “/result-report-generator”

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

Result Report Generator loads about 689 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 302 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~689

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). 302 words, ~689 tokens.

Download SKILL.mdSave it as .claude/skills/result-report-generator/SKILL.md (or your agent's skills folder).
name
result-report-generator
description
Summarize modeling experiment evidence, compare the approved main method with a usable baseline, surface fallback triggers, and produce a decision-point or final report without creating routine per-round prose.

Purpose

Turn saved experiment artifacts into compact evidence. Do not treat ordinary successful runs as requiring a long report, and do not choose the winning method.

Inputs

  • run_summary.json
  • method card and probe summary
  • decision ledger
  • saved tables, metrics, and figures
  • session rigor_profile

Stop if the run summary claims outputs that do not exist or if main and baseline are not comparable.

Modes

Ordinary lean round

  • Validate the run summary and referenced artifacts.
  • Return a compact evidence digest in the conversation.
  • Do not save a Markdown report unless:
    • a fallback trigger fired;
    • a material anomaly or contradiction exists;
    • the human must make a proceed/adjust/fallback decision.

Decision-point round

Save:

results/Qx/experiments/roundN/qx_decision_report.md

Include only:

  • main vs baseline metrics;
  • output-degeneracy/concentration evidence;
  • assumption or feasibility warnings;
  • robustness evidence already available;
  • fallback trigger state;
  • unresolved trade-offs.

Then invoke decision-prompt-builder. After the human answers, route the answer to modeler-decision-logger.

Final/submission mode

Save:

results/Qx/reports/qx_final_result_analysis.md

Include:

  • final main/baseline comparison;
  • uncertainty and error;
  • concentration/degeneracy interpretation;
  • robustness links;
  • limitations and applicable scope;
  • exact source paths for numerical claims.

Rejection and Fallback

  • Archive a method only after a human result_verdict or fallback_activation decision.
  • Move rejected code and outputs to workspace/archived/<Qx>/<method>_REJECTED_roundN/.
  • Add one compact history line to qx_method_card.md; do not create a separate iteration log.
  • Do not archive from an AI suggestion alone.

Rules

  • Do not fabricate metrics, comparisons, or interpretations.
  • Separate facts from human verdicts.
  • Do not create result-report-generator_modeler_decision.md.
  • Do not repeat the full run summary; cite it and extract only decision-relevant evidence.
  • Do not call a diagnostic reference a usable baseline.
  • Do not generate paper prose.

Verification

  • Every reported number resolves to a saved artifact.
  • Main/baseline comparison uses the same split, unit, and metric definition.
  • Output concentration and fallback trigger are addressed.
  • Reports are generated only at decision points or final mode.
  • Human verdicts are read from or appended to the canonical JSONL ledger.

© 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/result-report-generator of zhnnky329/MathModeling-skills.

Open the folder on GitHubat commit 0b46e9c

Compare with similar skills

Result Report Generator 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.

Result Report Generator compared with similar skills
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Result Report Generator this skillzhnnky329/MathModeling-skills1.1k—~689Automated safety check: PassMIT
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A2ui Generate Pydantic Modelsa2ui-project/a2ui17k—~2.3kAutomated safety check: PassApache-2.0
Model Cost Comparemergisi/awesome-openclaw-agents4k—~1kAutomated safety check: PassMIT
Generate Nanobananasickn33/agentic-awesome-skills47k1 repos~2.8kAutomated safety check: NotesMIT
Model Bank Metadatalobehub/lobehub83k—~2kAutomated safety check: PassCustom licence

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Questions about Result Report Generator

What does Result Report Generator do?

Summarize modeling experiment evidence, compare the approved main method with a usable baseline, surface fallback triggers, and produce a decision-point or final report without creating routine…. Result Report Generator is an agent skill from zhnnky329/MathModeling-skills. Summarize modeling experiment evidence, compare the approved main method with a usable baseline, surface fallback triggers, and produce a decision-point or final report without creating routine per-round prose.

How do I install Result Report Generator in Claude Code?

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

How do I install Result Report Generator in Codex?

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

Can I use Result Report Generator 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 result-report-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/result-report-generator, .gemini/skills/result-report-generator, .github/skills/result-report-generator and .opencode/skills/result-report-generator in your project.

What does Result Report Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Result Report Generator is instructions for the agent only.

Does Result Report Generator 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 Result Report Generator 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 Result Report Generator use?

Result Report Generator 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 Result Report Generator use?

About 689 tokens (SKILL.md is roughly 2.8k 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 Result Report Generator?

Skills that share tags, products or a category with Result Report Generator: Summarize (openclaw/openclaw, 392k stars), A2ui Generate Pydantic Models (a2ui-project/a2ui, 17k stars), Model Cost Compare (mergisi/awesome-openclaw-agents, 4k stars) and Generate Nanobanana (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Result Report Generator?

zhnnky329 (a GitHub user) maintains it in zhnnky329/MathModeling-skills, which has 1,060 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.