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Use when packaging, validating, or publishing a dataset to the AgentSociety platform for later sharing or reuse.
Passed 14 of 19 test cases with the skill, and 5 of 19 without it.
and 10 more in the full report
10 fixed6 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which Python interpreter path and setup configuration should be used when executing .agentsociety/bin/ags.py scripts in this repository workspace?
| Checked | Without skill | With skill |
|---|---|---|
| Directs execution to use the Python interpreter configured in .env. | Missed | Passed |
The instructions your model reads when the skill loads.
Create, validate, package, and upload datasets to the AgentSociety platform. Produces a ZIP package conforming to the platform's schema for sharing or admin review.
Use the Python interpreter from .env. See CLAUDE.md for setup.
Do NOT use when:
agentsociety-use-dataset)experiment-config)| Command | Auth | Description |
|---|---|---|
login | No | Casdoor Device Code Flow authentication |
logout | No | Clear saved credentials |
init <name> | No | Create dataset directory structure |
validate <path> | No | Validate dataset dir or ZIP |
pack <dir> | No | Package directory into ZIP |
upload <zip> | Yes | Upload to AgentSociety platform |
submit <dataset_id> | Yes | Submit for admin review |
Run commands from the workspace root through .agentsociety/bin/ags.py.
digraph create_dataset_flow {
rankdir=LR;
node [shape=box, style=filled, fillcolor="#E8F4FD"];
login [label="login\nif upload needed"];
init [label="init dataset dir"];
add [label="add data files"];
meta [label="edit README.md\nand dataset.json"];
test cases passed, vs 5 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.