Every contribution earns citable credit
A standard grows only if contributing pays off for the people who contribute. Scholarly incentives currently reward novel findings and undervalue reproductions, verification and reusable infrastructure. E2ER turns each kind of contribution into something a researcher can list and others can cite.
| Contribution | What the contributor receives | Status |
|---|---|---|
| Write a skill, specialist or template | A persistent identifier and citation for each version; authorship with contributor roles | Planned |
| Have a building block used | An automatic citation in every run that uses it, in the paper's references and its replication package | Planned |
| Evaluate a building block | Authorship of a citable evaluation record, with the contributor role "validation" | Planned |
| Report a failure | Credit in the building block's change history and in the evaluation it triggers | Planned |
| Review or maintain | Named review and maintenance roles on the building block's record | Planned |
| Publish skills elsewhere | Source, licence and maintainers travel with every installed skill | In place |
Follow the credit of one run
Example of the planned citation listSelect a building block used by a run to see how its authors are credited.
E2ER contributors
Profile of the project's own building blocks and the runs that used them.
From the repository
Demo contributor
The profile a contributor gets once the credit rules exist.
Example
Maintainers credited in the catalogue today
These maintainers are recorded in the RISE catalogue for the skill packs they publish. E2ER keeps their names, source and licence with every skill it installs from their packs.
| Maintainer | Project | Skills in pack |
|---|---|---|
| Edward Cheng-I Wu | Academic Research Skills (ARS) | 4 |
| Anthropic | Anthropic Skills (foundational) | 8 |
| Yang, Ruofeng | ARIS skills | 80 |
| Li, Yongcan | ARIS skills | 80 |
| Li, Shuai | ARIS skills | 80 |
| Bryce Wang (Stanford REAP / CoPaper.AI) | Auto-Empirical Research Skills (AERS) — first-party skills | 22 |
| Aiming Lab | AutoResearchClaw skills | 9 |
| Antonio Mele | awesome-econ-ai-stuff (Antonio Mele) | 17 |
| Bryce Wang (Stanford REAP / CoPaper.AI) | Awesome Journal Skills (AJS) | 25 |
| Chris Blattman (University of Chicago, Harris School of Public Policy) | claudeblattman (Chris Blattman) | 23 |
| Hugo Sant'Anna (UAB Economics) | Clo-Author skills | 14 |
| Hanlu Long (hanlulong on GitHub; also maintains awesome-ai-for-economists) | Econ Research Skills (Hanlu Long) | 4 |
| EvoScientist team | EvoSkills | 14 |
| Björn Hanneke | 100xOS shared skills | 133 |
| Gabberflast (GitHub) | Prose Revision (h/t Anthony Lee Zhang) | 1 |
| Pedro H. C. Sant'Anna (Emory University, Economics) | Pedro Sant'Anna's Claude Code Workflow | 44 |
| Master-cai (GitHub) | Research Paper Writing Skills | 1 |
| Moran Koren (Ben-Gurion University of the Negev, Economics) | Theorist Toolbox | 11 |