القائمة
Use when external datasets need to be searched, inspected, or downloaded for experiments or analysis.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/tsinghua-fib-lab/AgentSociety --skill agentsociety-use-datasetيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
Use when an experiment run has completed and the user wants rigorous interpretation, claim-driven charts, bilingual reports, or cross-hypothesis synthesis from simulation data. Also use when multiple charts or PNG/JPG assets must be assembled into one labeled composite figure. Requires high-quality narrative and evidence traceability, not only harness gate PASS.
Create distinctive, production-grade frontend interfaces with high design quality. Use when building or polishing analysis HTML reports under agentsociety-analysis — read via support/frontend-design/ inside that skill, not as a separate pipeline skill.
Use when a completed research manuscript needs a robust internal, venue-calibrated mock peer review. Orchestrates three isolated reviewer subagents in parallel, then a separate MetaReview subagent that verifies evidence, reports agreement and score dispersion, and emits advisory reroutes. Never revises research artifacts, executes experiments, or updates pipeline state.
| name | agentsociety-use-dataset |
| version | 1.0.0 |
| description | Use when external datasets need to be searched, inspected, or downloaded for experiments or analysis. |
Search, download, and inspect datasets from the AgentSociety platform. All operations use the public API -- no authentication required. Always read the README before operating on dataset contents to avoid misinterpretation of column types, units, and semantics.
Use the Python interpreter from .env. See CLAUDE.md for setup.
Do NOT use when:
agentsociety-create-dataset)experiment-config)| Command | Auth | Description |
|---|---|---|
list | No | List datasets (local default, --all merged, --remote remote only) |
list-installed | No | Alias for list (backward compat) |
search | No | Search with --category, --tags, --limit, --skip filters |
info <id> | No | Show metadata (local + remote merged, warns if outdated) |
readme <id> | No | Display dataset README |
files <id> | No | List dataset file tree |
download <id> | No | Download and extract to datasets/<id>/ |
cat <id> <path> | No | Read file content from local dataset |
Run commands from the workspace root through .agentsociety/bin/ags.py.
digraph use_dataset_flow {
rankdir=LR;
node [shape=box, style=filled, fillcolor="#E8F4FD"];
browse [label="browse or search"];
readme [label="read README"];
download [label="download"];
inspect [label="inspect files"];
update [label="check for updates"];
browse -> readme -> download -> inspect -> update;
}
For listing examples and status value details, see references/listing-guide.md.
For the downloaded metadata.json schema, see references/metadata-format.md.
| Mistake | Fix |
|---|---|
| Skipping README before using dataset contents | Always run readme <id> first to understand format, columns, units |
| Not checking for updates (using outdated version) | Run list --all or info <id> to compare local vs remote versions |
| Downloading without reading README first | README describes semantics; downloading without context wastes time |
| Confusing local-only and remote datasets | Use list --all for merged view; status column shows source |
Predecessors: create-dataset (for locally created datasets), otherwise none (standalone)
Successors: experiment-config (for experiment setup), analysis (for data analysis)