by byteseek · Codex Skill · ★ 221
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Mira English | 中文 Agent-native investment research system for evidence-tracked, refreshable investment theses. Mira is an AI investment research system for agents and research users. It is designed to turn multi-source material into traceable, reviewable and refreshable investment judgment, rather than a one-off stock report or chat answer. Mira focuses on the investment thesis: what evidence supports it, when it is valid, what would disconfirm it, and how it should be monitored. Collaboration Model Mira is built for a three-part division of labor: Humans own the purpose, question framing, constraints, risk budget, final judgment and any real-world action. AI models expand cognitive bandwidth by reading, summarizing, comparing, extracting claims, generating hypotheses and drafting analysis. Mira constrains model output into evidence-tracked, refreshable and falsifiable research work. Model output is not evidence by itself. Mira's job is to turn useful model work into source-backed claims, explicit uncertainty, refresh conditions and research actions that remain separate from trading or portfolio instructions.
| Stars | 221 |
| Forks | 38 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 44.416/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-17 |
| Created | 2026-04-14 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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Mira is Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.. It is categorized as a Codex Skill with 221 GitHub stars.
Mira is primarily written in Python. It covers topics such as agent-workflow, ai-agents, claude-code.
You can find installation instructions and usage details in the Mira GitHub repository at github.com/byteseek/Mira. The project has 221 stars and 38 forks, indicating an active community.
Mira is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Mira on Agent Skills Hub include sub-agents-mcp, codexia, claude-codex-settings. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.