minimax-token-plan-quota
# MiniMax Token Plan Quota
Use this skill to query **MiniMax Token Plan remaining quota**.
## Default behavior
- Default to the **China mainland** endpoint on `www.minimaxi.com`
- Return a compact **table** with:
- 项目
- 周期
- 总额度
- 剩余额度
- 重置剩余时间
## Important rule
Interpret the `/coding_plan/remains` response as **remaining quota**, not consumed quota.
The script maps:
- `current_interval_total_count` → 当前周期总额度
- `current_interval_usage_count` → 当前周期剩余额度
- `current_weekly_total_count` → 本周总额度
- `current_weekly_usage_count` → 本周剩余额度
Do not flip those meanings unless MiniMax docs change.
## Secret handling
- Prefer `MINIMAX_API_KEY` from env
- If env is absent, the bundled script will also try `~/.openclaw/.env`
- You may pass `--api-key` for one-off manual runs
- If the user pasted a key in the current conversation, use it transiently for the current task only
- Do **not** store MiniMax API keys in workspace memory, skill files, or long-term notes
- If `~/.openclaw/.env` is missing or lacks `MINIMAX_API_KEY`, guide the user to add:
```bash
mkdir -p ~/.openclaw
printf "MINIMAX_API_KEY=你的key\n" > ~/.openclaw/.env
```
## Commands
### China mainland Token Plan quota
```bash
MINIMAX_API_KEY='...' python3 scripts/check_token_plan_quota.py --region cn
```
Or rely on `~/.openclaw/.env`:
```bash
python3 scripts/check_token_plan_quota.py --region cn
```
### Global endpoint
```bash
MINIMAX_API_KEY='...' python3 scripts/check_token_plan_quota.py --region global
```
### JSON output
```bash
MINIMAX_API_KEY='...' python3 scripts/check_token_plan_quota.py --region cn --json
```
## Output style for user replies
Default to the markdown table only when the user asks for a concise result.
Example:
```markdown
| 项目 | 周期 | 总额度 | 剩余额度 | 重置剩余时间 |
|---|---|---:|---:|---|
| MiniMax-M* | 当前周期 | 1500 | 1500 | 4小时26分钟 |
```
If some models show total quota `0`, explain briefly only when needed:
- 当前套餐未开通
- 或该 key 不包含此能力
## Resource
### `scripts/check_token_plan_quota.py`
Queries the MiniMax Token Plan quota endpoint and prints either:
- a compact markdown table
- or normalized JSON
标签
skill
ai