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aipoch-ai

Discussion Section Architect

作者 AIpoch · GitHub ↗ · v0.1.1 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install discussion-section-architect
功能描述
Structures and writes discussion sections for academic papers and research reports. Use when writing a discussion section, interpreting research results, con...
使用说明 (SKILL.md)

Discussion Section Architect

Quick Start

  1. Provide your research question, key results, and any prior literature you want to reference.
  2. Choose a structure (see workflows below).
  3. Generate a draft discussion section with clearly organized subsections.
  4. Run the Draft → Revise loop (see below).

Core Capabilities

1. Interpret and Contextualize Results

  • State whether results support or contradict the original hypothesis.
  • Explain unexpected findings with reasoned interpretations.
  • Quantify effect sizes or patterns when relevant.

Example prompt input:

Results: Group A showed a 23% reduction in symptom severity (p=0.003) vs. control.
Hypothesis: Intervention would reduce symptom severity.
Task: Interpret this result for the discussion section.

Example output excerpt:

The 23% reduction in symptom severity (p=0.003) supports the primary hypothesis.
This effect size is clinically meaningful and consistent with the mechanistic
rationale proposed in the introduction...

2. Connect Findings to Existing Literature

  • Identify studies that corroborate the findings.
  • Highlight where results diverge from prior literature and offer explanations.
  • Use hedged academic language appropriate to the field.

Example:

Finding: Effect was stronger in older participants.
Literature: Smith et al. (2019) found age-moderated responses in a similar cohort.
Task: Connect finding to literature.

Output:

The age-moderated effect aligns with Smith et al. (2019), who reported attenuated
responses in younger adults. One possible explanation is differential receptor
sensitivity across age groups, as suggested by...

3. Address Limitations

Draft a limitations subsection that is honest but does not undermine the contribution:

Limitation: [Describe constraint]
Impact: [How it affects interpretation]
Mitigation / Future direction: [How it could be addressed]

4. Synthesize Conclusions

Generate a closing paragraph that:

  • Restates the core finding in plain language.
  • States the theoretical or practical contribution.
  • Ends with a forward-looking statement about implications or next steps.

Recommended Discussion Structure

1. Opening: Restate the research question and summarize the key finding (2–3 sentences).
2. Interpretation: Explain what the results mean mechanistically or theoretically.
3. Comparison to Literature: Agree/contrast with prior studies; explain divergences.
4. Implications: Theoretical contributions and/or practical applications.
5. Limitations: Honest scope boundaries with future directions.
6. Conclusion: Synthesis and forward-looking close.

Draft → Revise Loop

Use this iterative workflow after generating an initial draft:

Step 1 — Draft: Generate the full discussion section using the structure above.

Step 2 — Check: Review against the checklist:

  • Each finding from the Results section is explicitly addressed.
  • Claims are supported by citations or logical reasoning — not stated as facts.
  • Unexpected or null results are acknowledged and interpreted.
  • Limitations are stated without dismissing the study's contribution.
  • No new data or results are introduced in the discussion.
  • Hedged language used appropriately (e.g., "suggests," "indicates," "may reflect").
  • Conclusion ties back to the original research question.

Step 3 — Revise: For each failed checklist item, revise only the affected paragraph(s).

Step 4 — Re-check: Re-run the checklist on revised paragraphs to confirm resolution before finalizing.


References

  • references/guide.md - Detailed documentation
  • references/examples/ - Sample inputs and outputs

Skill ID: 950 | Version: 1.0 | License: MIT

安全使用建议
This skill appears to do what it says: provide outlines, prompts, and transition phrases for Discussion sections. Consider: (1) the SKILL.md mentions reference files that are not included—ask the author or request the missing docs if you expect example outputs; (2) the manifest/tile version strings differ slightly from the published version and the README metadata—this is likely benign but worth confirming the source; (3) the allowed-tools header includes 'Bash' and file read/write which are broader than strictly necessary—if you run this in an environment with file or shell access, be mindful of what files you allow the agent to read or write. If you want higher assurance, request the skill's source repository or homepage and confirm the missing reference files are harmless.
功能分析
Type: OpenClaw Skill Name: discussion-section-architect Version: 0.1.1 The skill bundle is a legitimate tool designed to assist researchers in drafting academic discussion sections. The Python script (scripts/main.py) provides simple text-based outline generation and transition phrases, while the SKILL.md instructions focus entirely on academic writing workflows without any evidence of malicious intent, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
Name/description match the provided instructions and the included Python script: both focus on structuring and drafting discussion sections. The script generates outlines and transition phrases consistent with the stated purpose.
Instruction Scope
SKILL.md stays within the domain of writing discussion sections and does not instruct the agent to read unrelated files, access environment variables, or transmit data externally. Minor note: SKILL.md references 'references/guide.md' and 'references/examples/' which are not present in the package; the allowed-tools header lists 'Read Write Bash Edit' (including Bash) which is broader than needed for purely text-generation tasks.
Install Mechanism
No install specification is provided (instruction-only style), which is low-risk. The package does include a small Python script but no installation hook or network download steps; the script is simple and contains no network activity or execution of external code.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not access environment variables or secrets. Requested permissions are proportionate to a writing/outline tool.
Persistence & Privilege
Skill is not forced-always; it is user-invocable and allows model invocation (normal for skills). It does not request persistent system-wide changes, nor does it modify other skills or system config.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install discussion-section-architect
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /discussion-section-architect 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.1
- No file or documentation changes detected for version 0.1.1. - Functionality and features remain unchanged from previous release.
v0.1.0
- Initial release of **discussion-section-architect**. - Structures and drafts academic discussion sections based on research question, results, and relevant literature. - Provides workflows for interpreting results, connecting to prior studies, addressing limitations, and synthesizing conclusions. - Includes a recommended structure and an iterative Draft → Revise loop with a built-in quality checklist. - Offers guidance and examples for producing publication-ready discussion prose.
元数据
Slug discussion-section-architect
版本 0.1.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Discussion Section Architect 是什么?

Structures and writes discussion sections for academic papers and research reports. Use when writing a discussion section, interpreting research results, con... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 181 次。

如何安装 Discussion Section Architect?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install discussion-section-architect」即可一键安装,无需额外配置。

Discussion Section Architect 是免费的吗?

是的,Discussion Section Architect 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Discussion Section Architect 支持哪些平台?

Discussion Section Architect 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Discussion Section Architect?

由 AIpoch(@aipoch-ai)开发并维护,当前版本 v0.1.1。

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