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 daisyyang1109-super/mirror-viewer --skill weekly-reportgit clone --depth 1 https://github.com/daisyyang1109-super/mirror-viewerWrote 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/daisyyang1109-super/mirror-viewer/weekly-report)<a href="https://agentmods.dev/skills/daisyyang1109-super/mirror-viewer/weekly-report"><img src="https://agentmods.dev/badge/skills/daisyyang1109-super/mirror-viewer/weekly-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/daisyyang1109-super/mirror-viewer/weekly-report"><img src="https://agentmods.dev/badge/skills/daisyyang1109-super/mirror-viewer/weekly-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 | $0.00109 | $0.00468 |
| Opus 5.5 | $0.00044 | $0.00187 |
| Sonnet 5.5 | $0.00022 | $0.00094 |
| Haiku 4.5 | $0.00011 | $0.00047 |
Grade A, and why
weekly-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 1mo 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
Weekly-Report — 自动周报
读最近 N 天 session 的元数据(默认 7 天), 1 次 LLM 调用汇总成 markdown。
触发后的动作
1. 解析参数
$ARGUMENTS 例:
- 空 → 默认最近 7 天
--days 14→ 最近 14 天--days 1→ 今天
2. 跑主脚本
python3 ~/.claude/skills/weekly-report/report.py $ARGUMENTS
主脚本:
- 读
~/.claude/mirror/search-index.json+~/.claude/mirror/summaries.json - 过滤最近 N 天 mtime 的 session
- 拼 prompt 调 DeepSeek
- 输出 markdown 到
~/.claude/mirror/reports/YYYY-MM-DD-Nd-report.md - 自动 open 文件
3. 报告进度
显示报告路径 + token / 花费 / 处理 session 数。
成本
- ~¥0.012-0.02 单次(单次 DeepSeek 调用)
Fallback
- summaries.json 不存在 → 提示先跑
/summarize-sessions - DEEPSEEK_API_KEY 找不到 → 提示 export 或
echo sk-xxx > ~/.deepseek
What ships with it
1 file 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.
- 1mo ago First seen · 47 lines · 109 tokens per session scan A 98a5bfaa1a2b
weekly-report is a skill published in the GitHub repository daisyyang1109-super/mirror-viewer (5 stars, last pushed 4mo ago), licensed MIT. It adds 109 tokens to every session and 468 once invoked, about $0.0004 per session on Opus 5.5. 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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