Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add lovekeji-ai/keji-skills --skill dida-taskgit clone --depth 1 https://github.com/lovekeji-ai/keji-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lovekeji-ai/keji-skills/dida-task)<a href="https://agentmods.dev/skills/lovekeji-ai/keji-skills/dida-task"><img src="https://agentmods.dev/badge/skills/lovekeji-ai/keji-skills/dida-task/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lovekeji-ai/keji-skills/dida-task"><img src="https://agentmods.dev/badge/skills/lovekeji-ai/keji-skills/dida-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00133 | $0.01807 |
| Opus 5 | $0.00067 | $0.00903 |
| Sonnet 5 | $0.00027 | $0.00361 |
| Haiku 4.5 | $0.00013 | $0.00181 |
Grade A, and why
dida-task scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dida-Task：滴答清单 Agent 工具
让 agent 完全打通滴答清单（Dida365）：读、写、统计一应俱全。
何时使用
触发场景：
- 用户要写任务到滴答："加个任务"、"提醒我..."、"加到 dida / 滴答"
- 用户要读滴答数据："今天完成了哪些任务"、"我有哪些清单"、"专注了多久"
- 用户要统计/复盘："这周完成了什么"、"花了几个番茄在 X 上"
不要触发：
- 用户的"任务"明显指当前对话工作项，不是 App 里的任务
- 用户在专门的 GTD 笔记系统里操作（除非明确说"同步到滴答"）
首次使用
凭证未配置时，先引导用户走 setup：
python3 scripts/dida.py setup
详细引导见 setup.md。
能力速查
所有命令统一入口：python3 scripts/dida.py <子命令>
读
| 命令 | 作用 |
|---|---|
read list-projects |
列所有清单 |
read list-columns <project> |
列 kanban 清单的分组（columns） |
read list-tasks <project> |
列某清单下未完成任务 |
read get-task <task-id> |
拿单个任务详情 |
read search <关键词> |
全量任务模糊搜索（按标题/内容） |
read today |
跨清单：今日到期的未完成任务，按清单分组 |
read upcoming [--days N] |
跨清单：未来 N 天（默认 7）到期 |
read by-tag <tag> [--prefix] |
按标签筛选；--prefix 含子标签（如 12wy 匹配 12wy/a） |
read list-tags |
列出账号所有标签（含父子关系、颜色） |
read completed-today |
今天已完成任务 |
read completed-range <from> <to> |
按日期范围拉已完成任务 |
番茄/专注
| 命令 | 作用 |
|---|---|
pomo today |
今天专注总时长 + 段数 |
pomo by-task <task-id-或关键词> |
某任务花了几个番茄 / 多少分钟 |
pomo stats <from> <to> |
按日期范围的专注统计（heatmap + 项目分布） |
写
| 命令 | 作用 |
|---|---|
write create-task --title <标题> [选项] |
创建任务 |
write update-task <task-id> [选项] |
更新任务 |
write complete-task <task-id> |
标记完成 |
write delete-task <task-id> |
删除任务（默认 dry-run） |
write add-subtask <task-id> --title <标题> |
给任务追加一个子任务（checklist 项） |
write complete-subtask <task-id> <子任务-id-或关键词> |
标记某子任务完成 |
write create-project --name <名字> [选项] |
创建清单 |
write update-project <project-id> [选项] |
更新清单 |
write delete-project <project-id> |
删除清单（默认 dry-run） |
create-task / update-task 选项：
| 参数 | 说明 |
|---|---|
--content <文本> |
备注内容 |
--project <id|名字> |
create-task：目标清单（默认收件箱）；update-task：移动到该清单 |
--priority {0,1,3,5} |
0 无 / 1 低 / 3 中 / 5 高 |
--due <YYYY-MM-DD[THH:MM]> |
截止时间 |
--all-day |
全天任务（忽略时分） |
--repeat "RRULE:..." |
重复规则，如 RRULE:FREQ=WEEKLY;BYDAY=MO |
--column <id|名字> |
kanban 分组（需配合 --project） |
--tags "a,b,c" |
标签数组，逗号分隔 |
--items "step1|step2|step3" |
子任务（仅 create-task；竖线分隔，自动设 kind=CHECKLIST） |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 121 lines · 133 tokens per session scan A 775b9b5bd4b3
dida-task is a skill published in the GitHub repository lovekeji-ai/keji-skills (49 stars, last pushed 1mo ago), licensed MIT. It adds 133 tokens to every session and 1,807 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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