comp-pipeline SKILL.md skillA

comp-pipeline from fourteen1416/academic-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fourteen1416/academic-agent-toolkit/comp-pipeline@git:20260927.a059f3a

Pins git:20260927.a059f3a in mdr.lock. Pin the fingerprint instead.

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SKILL.md skill
Repository
fourteen1416/academic-agent-toolkit
Path
academic-toolkit/skills/comp-pipeline/SKILL.md
Versions recorded
5
Latest version
git:20260927.a059f3a, committed Sep 27, 2026
First version recorded
Sep 23, 2026
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12
License
a license file GitHub does not identify

数学建模竞赛全流程入口:竞赛任务映射到引擎工作流模板(comp_cumcm、comp_huawei 等),引擎分派步骤并独占流程状态。触发词:数模全流程、完整做一道竞赛题、comp-pipeline、从读题到交付。.

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

# 数学建模竞赛全流程入口

## 职责

本技能只负责把竞赛任务映射到正确的引擎模板并恢复既有工作流;不代替具体技能执行业务,不维护第二套阶段状态、检查点面板或手动编排顺序。唯一的步骤状态来自工作流引擎。

## 模板选择

| 任务 | 模板 |
|------|------|
| 国赛(CUMCM) | `comp_cumcm` |
| 华为杯(研究生数学建模) | `comp_huawei` |
| 美赛(MCM/ICM) | `comp_mcm` |
| 其他数模赛事 | `engine/modex-core/templates.json` 中对应 `comp_*`(亚太、MathorCup、统计建模、深圳杯等) |

各模板步骤、主技能与伴生技能的权威对照见 `CONTEST_SKILL_MAP.md`;国赛与华为杯主链 1:1 同构,仅页数/图表量等赛事参数不同。

## 输入

竞赛题目(`PROBLEM.md`)与附带数据(`data/`)。创建工作流时把赛事名、语言(zh/en)、输出格式(pdf/docx)、是否跳过文献或评审等保存为业务参数;密钥不入参数。

## 执行

1. 已有工作流 ID 则恢复当前状态,不重开一条并行的流程;没有时用 `python -m engine.workflow_cli start --template <模板> --workspace <工作区> --params <业务参数JSON>` 创建。
2. 用 `next` 领取当前步骤及其主技能、产物合同与执行会话;只执行当前步骤,不提前调用后续技能。
3. 检查点等待真实批准:`workflow_cli approve --checkpoint ID --by <批准人>`;无回复不是同意。
4. 每步完成后由会话 `finish` 统一验收并推进;质量问题在当前步骤返修。

## 质量纪律(随任务始终)

- **防编造**:所有引用文献必须过 `tools/scholar_fetch.py` 三查验证;往届优秀论文(`data/historical_papers.md`)仅作写法/模式借鉴,不入参考文献。
- **结果可复现**:论文中的数值结果必须能由交付代码与数据复现。
- **格式合规**:终稿格式以对应赛事 `comp_rules.json` 配置与官方规范摘要为准。
- **图表资源候选**:数据图由 `paper-figure` 三轴选图规范把关;需要选图顾问/图库选型时按需调 `fig-visualization-advisor` / `agent-figure-gallery`;高规格框架图(人工多候选裁决)走 `paper-framework-figure-studio-pro`。候选按任务需要选取,不为凑数堆调用。
…

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How to install

The exact contents, by fingerprint
mdr add fourteen1416/academic-agent-toolkit/comp-pipeline@sha256:d65a8ad52c8c62d3

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git:20260927.efd51312026-09-27 efd5131 2,933 BA view · diff
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git:20260923.ee897a02026-09-23 ee897a0 4,891 BA view · diff
git:20260923.2013b812026-09-23 2013b81 4,876 BA view

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Source

GitHub

fourteen1416/academic-agent-toolkit · 12 stars · license a license file GitHub does not identify · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ak6k75ia6jmgfbfi
GET https://markdownregistry.com/api/v1/resolve?ref=fourteen1416/academic-agent-toolkit/comp-pipeline
GET https://markdownregistry.com/api/v1/blob/d65a8ad52c8c62d3f23207863f7389d2acccdaa2522394976995e157dac8320a

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