Test DicePP chat commands in named sessions with fixed dice sequences.
npx skills add https://github.com/pear-studio/nonebot-dicepp --skill dicepp-shell
Please help me install this Agent Skill. Skill: dicepp-shell Source: https://github.com/pear-studio/nonebot-dicepp/tree/main/docs/agent/skills/dicepp-shell Command: npx skills add https://github.com/pear-studio/nonebot-dicepp --skill dicepp-shell
You need a fast way to verify that DicePP bot commands, dice results, and role/card workflows behave correctly before shipping or integrating changes.
Start a test session and send the roll command with a fixed dice outcome: run uv run dicepp-shell start test followed by uv run dicepp-shell send test --user player1 --msg ".r 1d20 攻击" --dice 20.
High-intent search queries and answers about installing and using this skill.
You can test TRPG bot commands deterministically by starting a named session and passing a predefined dice sequence to ensure reproducible outcomes for acceptance testing. This verifies dice rolls, initiative flows, and HP updates consistently.
Deterministic session-based testing for TRPG chat commands involves creating managed sessions that execute multi-step scenarios with fixed dice outcomes and optional JSON output to inspect structured results during development.
Send a DicePP roll command by starting a session and executing a send command with the session name, user, message, and a fixed dice value. This applies real chat commands to validate role card creation and combat flows.
Yes, session-based TRPG testing requires a preconfigured project environment where the testing shell can start and send commands to a named session for development-time verification of bot behavior.
Yes, you can request JSON output during TRPG dice roll testing to inspect structured results. This debug-friendly format helps verify command-level logic and state updates accurately during development.
The best way to verify role card creation and HP updates is using a deterministic testing shell that applies real chat commands to a managed session, ensuring reproducible state changes before shipping changes.
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