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 shikidmsh-rgb/mochibot --skill workspacegit clone --depth 1 https://github.com/shikidmsh-rgb/mochibotWrote 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/shikidmsh-rgb/mochibot/workspace)<a href="https://agentmods.dev/skills/shikidmsh-rgb/mochibot/workspace"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/workspace/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/shikidmsh-rgb/mochibot/workspace"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/workspace.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 | $0.00014 | $0.00233 |
| Opus 5 | $0.00007 | $0.00117 |
| Sonnet 5 | $0.00003 | $0.00047 |
| Haiku 4.5 | $0.00001 | $0.00023 |
Grade A, and why
workspace 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 5d 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.
What it actually says
Workspace Skill
日记读写。
Tools
write_diary (resident)
向今天的日记追加一段经历或感受，例如心情起伏、争执和状态变化。
| Parameter | Type | Required | Description |
|---|---|---|---|
| entry | string | yes | 日记内容 |
read_diary (on_demand)
读取今天或指定日期的日记归档，为回顾当天经历提供原始记录。
| Parameter | Type | Required | Description |
|---|---|---|---|
| date | string | no | YYYY-MM-DD 格式。不填 = 今天 |
Capability Context
write_diary追加今日日记；habit、todo 和 meal 的结构化状态由各自技能维护，重复写入日记会留下两份事实。read_diary不带日期时读取今天，带YYYY-MM-DD时读取对应归档。
What ships with it
2 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.
- 5d ago Changed · -10 lines · -13 tokens per session 83a030a9bf6d
- 6d ago Changed · +12 tokens per session d839b146872b
- 11d ago First seen · 42 lines · 15 tokens per session scan A 4b7733492a73
workspace is a skill published in the GitHub repository shikidmsh-rgb/mochibot (82 stars, last pushed 4d ago), licensed MIT. It adds 14 tokens to every session and 233 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 2026-08-30.
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