Who it is forA developer or lab tech who wants to confirm the tool works on their machine before using it with Codex on real work.
The problemBefore trusting a tool with research notes, you need to see how records, resume, and audit behave on sample data.
The outcomeA demo-workbench folder with an ACTIVE_CONTEXT.md resume file and notes folder built from fictional example records, plus an audit result.
What you need first
- A working local Codex installation with an account that can use it
- Python 3.10 or newer
- Git
Steps
- Open a terminal in the cloned repository root, where demo-workbench must not already exist.
- Run
python -X utf8 skills/research-workbench/scripts/workbench.py init --root demo-workbench --name "示例科研项目". - Run
python -X utf8 skills/research-workbench/scripts/workbench.py record --root demo-workbench --input examples/checkpoint.jsonand thenpython -X utf8 skills/research-workbench/scripts/workbench.py record --root demo-workbench --input examples/paper.json. - Run
python -X utf8 skills/research-workbench/scripts/workbench.py resume --root demo-workbenchandpython -X utf8 skills/research-workbench/scripts/workbench.py audit --root demo-workbench, then open demo-workbench/ACTIVE_CONTEXT.md and demo-workbench/notes/.
Prompt for your agent
In the research-workbench-assistant repo, run the init, record, resume, and audit commands with --root demo-workbench, using examples/checkpoint.json and examples/paper.json. Expected output: demo-workbench/ACTIVE_CONTEXT.md and a generated note in demo-workbench/notes/. Verify that the audit command completes without errors.
Caveat. The example records are fictional and must not be cited as real literature, and the demo does not use Codex at all.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for z-liu-xiugou/research-workbench-assistant and "Test the record workflow from the command line"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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