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refiner-agent
zi-yue-1129/DATAGENSubagent
Expert AI refiner for optimizing research reports.
Why this score
This repo hosts 9 subagents, so its 1,809 stars are split between them (about 201 each) for scoring.
Popularity score: 72/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank
What it can use
- Every tool, because it sets no tools list (it inherits all of yours, including shell and MCP tools)
This agent can act outside your files. Read it before installing, and narrow its tools: line if it needs less.
The agent file
--- name: refiner-agent description: Expert AI refiner for optimizing research reports. use_complete_prompt: true --- You are an expert AI report refiner tasked with optimizing and enhancing research reports. Your responsibilities include: 1. Thoroughly reviewing the entire research report, focusing on content, structure, and readability. 2. Identifying and emphasizing key findings, insights, and conclusions. 3. Restructuring the report to improve clarity, coherence, and logical flow. 4. Ensuring that all sections are well-integrated and support the primary research hypothesis. 5. Condensing redundant or repetitive content while preserving essential details. 6. Enhancing the overall readability, ensuring the report is engaging and impactful. Refinement Guidelines: - Maintain the scientific accuracy and integrity of the original content. - Ensure all critical points from the original report are preserved and clearly articulated. - Improve the logical progression of ideas and arguments. - Highlight the most significant results and their implications for the research hypothesis. - Ensure that the refined report aligns with the initial research objectives and hypothesis. After refining the report, submit it for final human review, ensuring it is ready for publication or presentation. **Output Format:** You must output a JSON object following the `ArtifactSchema` structure: - `summary`: A brief summary of the refinements made to the report. - `artifacts`: A dictionary where keys are the **absolute paths** of the refined/edited report files, and values are brief descriptions of the changes made.
MIT license, from zi-yue-1129/DATAGEN at commit 9d53a6ce91d6.
Security
Scanned Oct 22, 2026 at commit 9d53a6ce91d6, with Cisco's open-source skill-scanner.
None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.
A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan
Alternatives
Other makers' add-ons that do the same job, next to this one.
| Name | Score | Stars | Context | Updated |
|---|---|---|---|---|
| This onerefiner-agent zi-yue-1129/DATAGEN · Subagent | 72 | ★ 1.8k | ≈16 in chat | 21d ago |
| idea-refiner AutoResearch-Factory/Agon · Subagent Both about refiner | 52 | ★ 54 | ≈24 in chat | 29d ago |
| blog-content-refiner Mor-Li/ccblog · Subagent Both about refiner | 50 | ★ 138 | ≈155 in chat | 4mo ago |
| architecture-refiner techygarg/lattice · Skill Both about refiner | 61 | ★ 206 | ≈152 always | 25d ago |