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 Bastioned-successor320/learn-nanobot --skill daily-reportgit clone --depth 1 https://github.com/Bastioned-successor320/learn-nanobotWrote 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/bastioned-successor320/learn-nanobot/daily-report)<a href="https://agentmods.dev/skills/bastioned-successor320/learn-nanobot/daily-report"><img src="https://agentmods.dev/badge/skills/bastioned-successor320/learn-nanobot/daily-report/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/bastioned-successor320/learn-nanobot/daily-report"><img src="https://agentmods.dev/badge/skills/bastioned-successor320/learn-nanobot/daily-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00016 | $0.00305 |
| Opus 5 | $0.00008 | $0.00152 |
| Sonnet 5 | $0.00003 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
daily-report 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 12d 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
日报生成技能
使用方法
当用户请求生成日报时，按照以下流程引导并生成。
信息收集
如果用户未提供完整信息，依次询问：
- 今天完成了哪些工作？
- 遇到了什么问题或阻碍？
- 明天计划做什么？
输出格式
📋 工作日报 - {日期}
👤 {姓名/部门}（如用户提供）
━━━ 今日完成 ━━━
1. {完成事项1}
2. {完成事项2}
...
━━━ 遇到问题 ━━━
1. {问题描述}
→ 当前进展/解决方案
...
（如无问题则写"无"）
━━━ 明日计划 ━━━
1. {计划事项1}
2. {计划事项2}
...
━━━ 备注 ━━━
{其他需要说明的内容}
（如无则省略此节）
生成规则
- 语言简练，每条不超过两句话
- 完成事项标注关键成果（如数据指标、版本号等）
- 问题要包含影响范围和当前进展
- 计划事项按优先级排序
- 如果用户只提供了简短描述，帮助扩展为完整的日报条目
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.
- 12d ago First seen · 51 lines · 16 tokens per session scan A 0753fcd4003f
daily-report is a skill published in the GitHub repository Bastioned-successor320/learn-nanobot (10 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 305 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.
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