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.
git clone --depth 1 https://github.com/yonggao/claude-pluginsWrote 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/commands/yonggao/claude-plugins/cii_daily_report)<a href="https://agentmods.dev/commands/yonggao/claude-plugins/cii_daily_report"><img src="https://agentmods.dev/badge/commands/yonggao/claude-plugins/cii_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/commands/yonggao/claude-plugins/cii_daily_report"><img src="https://agentmods.dev/badge/commands/yonggao/claude-plugins/cii_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 | $0.00017 | $0.00744 |
| Opus 5 | $0.00009 | $0.00372 |
| Sonnet 5 | $0.00003 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
cii_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 9d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CII Daily Report Generator
Generate the latest daily report for Cloud Intelligence Institute following these steps:
Prerequisites Check
- recall if bitable information is present in the memory, if not then
- Ensure Lark MCP server is configured and accessible
- Verify access to "日报汇总_云智慧研究院" bitable
Current Date Context
Please follow below examples to assign filter values while using bitable_v1_appTableRecord_search:
{
"filter": {
"conjunction": "and",
"conditions": [
{
"field_name": "日报提交日期",
"operator": "is",
"value": ["Today"]
}
]
}
}
{
"filter": {
"conjunction": "and",
"conditions": [
{
"field_name": "日报提交日期",
"operator": "is",
"value": ["Yesterday"]
}
]
}
}
Report Generation Process
Step 1: Locate Data Source
Search for the Lark document named "日报汇总_云智慧研究院" to:
- Identify the correct bitable base
- Locate the appropriate table containing daily reports
Step 2: Data Validation
Check for today's records across all departments:
- 云平台开发部 (Cloud Platform Development)
- 综合能源平台开发部 (Integrated Energy Platform Development)
- 大数据开发部 (Big Data Development)
Important: If ANY department above has not submitted today's report then switch to check for yesterday's. If still not satisfied:
- ❌ STOP execution immediately
- 📋 List which departments have submitted reports
- 📋 List which departments are missing reports
- 🚫 Do not proceed with report generation
Step 3: Personal Task Confirmation
Before generating the report, check if the related information is provided otherwise search from feishu/lark calendar and task list to compose personal part as below.
Step 4: Report Generation
Generate the daily report in Chinese using this exact format:
潘永高-{YYYY.MM.DD}工作日报
一.个人重点工作
{Insert personal part here}
二.团队重点工作
1、云平台开发部
{Summarize from bitable important task field}
2、综合能源平台开发部
{Summarize from bitable important task field}
3、大数据开发部
{Summarize from bitable important task field}
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.
- 9d ago First seen · 133 lines · 17 tokens per session scan A 1d570440fdec
cii_daily_report is a command published in the GitHub repository yonggao/claude-plugins (2 stars, last pushed 8mo ago), licensed MIT. It adds 17 tokens to every session and 744 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 commands, from other repositories
portaljs-check-data-quality
Audit a local or remote tabular file (CSV/TSV) for common data quality issues. Read-only. Use only when the user explicitly asks to check or audit data quality.
spreadsheet-audit
Perform a 6-step audit of an Excel spreadsheet for formula correctness, formatting consistency, data integrity, boss-auditable simplicity, and spec compliance. Uses the excel-screenshot MCP server tools — no Excel installation required.
member-import
Bulk member import from CSV/Excel with validation, batch processing, and error handling.
sheet-report
Analyze a Numbers or Excel file and generate a report with charts.
numbers-to-excel
Convert a Numbers document to Excel.
meeting
Investor meeting note processing with web research and CSV tracking.