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metadata

dataset: slack-bench
tags:
  - agent-evals
  - slack
  - api
  - messaging
license: mit

Slack Bench

Slack Bench contains 37 tasks for evaluating AI agents on Slack API operations.

Task Categories

Basic messaging: Send messages, DMs, group conversations
Channel operations: Create channels, invite users, archive
Rich text formatting: Block Kit (bold, italic, code blocks, lists, tables)
Thread replies: Reply to specific messages in threads
Cross-channel operations: Copy/summarize content between channels
User management: Add/remove users from channels
Reactions: Add emoji reactions to messages

Files

data/train.jsonl
dataset_infos.json
seeds/slack_bench_default.json

How to run?

Colab: Run Linear-Bench | Docs: Agent Diff Evaluation Docs

Read more

Website: agentdiff.dev | Repo: Github