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 agentmods add skills/tasktimepro/tasktime/pre-ship-reviewnpx skills add tasktimepro/tasktime --skill pre-ship-reviewgit clone --depth 1 https://github.com/tasktimepro/tasktimeWhat 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 | $0.00024 | $0.00197 |
| Opus 5 | $0.00012 | $0.00098 |
| Sonnet 5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
pre-ship-review 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 2d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 2d ago First seen · 19 lines · 24 tokens per session scan A 315fb4d2c2fe
pre-ship-review is a skill published in the GitHub repository tasktimepro/tasktime (3 stars, last pushed 3d ago), licensed AGPL-3.0. It adds 24 tokens to every session and 197 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
tma1
Query TMA1 observability data (Claude Code, Codex, GitHub Copilot CLI, OpenClaw, any OTel SDK). Use when the user asks: how much did I spend, token usage, what has my agent been doing, agent cost, show me traces, show me events, check for errors, model comparison, tool usage.
tma1-peer
List recent sessions on this project by agent — peers (Claude Code, OpenClaw, Copilot CLI) or your own past sessions. Invoke this skill when the user asks you to read another agent's review feedback, see what someone else tried, act on cross-agent context, or recall your own earlier work here. Trigger phrases: "what…
tma1-search
Search past agent sessions on this project by keyword, and read back any session's conversation. Invoke this skill when the answer lives in an earlier session — how something was fixed before, what was decided, what another agent tried last week — or when the user hands you a session id. Trigger phrases: "what did we…
douyin-skills
抖音网页版与创作者中心的本地自动化技能包入口。用于组合登录、搜索、热门话题、图文/视频发布、点赞、收藏、评论、分享链接，或解释整体能力、安全边界与多步骤流程；单一任务优先使用对应的 douyin- 子技能。.
douyin-publish
在抖音创作者中心填写并发布图文或视频作品，包括本地素材上传、视频封面设置、音乐选择、发布前校验和显式确认点击。用户要求发布抖音图文/视频或检查待发布内容时使用；不用于草稿管理或定时发布。.
douyin-auth
只使用 python "{baseDir}/../../scripts/cli.py" 。如果系统只有 python3，替换命令名。不要使用其他抖音登录工具。.