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 hoangsonww/Claude-Code-Agent-Monitor --skill weekly-reportgit clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-MonitorWrote 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/hoangsonww/claude-code-agent-monitor/weekly-report)<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/weekly-report"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/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/hoangsonww/claude-code-agent-monitor/weekly-report"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/weekly-report.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 | $0.00057 | $0.00591 |
| Opus 5 | $0.00028 | $0.00296 |
| Sonnet 5 | $0.00011 | $0.00118 |
| Haiku 4.5 | $0.00006 | $0.00059 |
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 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly Report
Generate a comprehensive weekly productivity report from Agent Monitor data.
Input
The user provides: $ARGUMENTS
This may be:
- "this week" or empty (default: current week Mon-Sun)
- "last week" for the previous week
- A date range: "2025-04-07 to 2025-04-13"
Procedure
-
Fetch weekly data from
http://localhost:4820:GET /api/sessions?limit=200— filter to target week (default sort: most recently updated first)GET /api/analytics— aggregated analyticsGET /api/pricing/cost— cost data
-
Build the weekly report:
📊 Week at a Glance
Metric This Week Last Week Change Sessions N N ↑/↓ N% Total Hours N N ↑/↓ N% Tokens Used N N ↑/↓ N% Total Cost $X.XX $X.XX ↑/↓ N% Completion Rate N% N% ↑/↓ 🏆 Highlights
- Most productive day (by sessions completed)
- Longest session and what it accomplished
- Most used tools and any new tools adopted
- Notable achievements (complex tasks completed, errors resolved)
📈 Daily Breakdown
Day Sessions Hours Cost Completion For each day of the week with activity. 🔧 Tool Usage Report
- Top 10 tools by invocation count
- Tools with highest error rate
- Tool usage distribution chart (text-based)
💡 Productivity Insights
- Peak productivity hours
- Average session duration and trend
- Cost efficiency trend
- Model usage distribution
🎯 Recommendations for Next Week
- Based on error patterns: what to improve
- Based on cost trends: optimization opportunities
- Based on tool usage: workflow suggestions
Output Format
Professional report format with:
- Executive summary (3 sentences max)
- Structured tables with week-over-week comparisons
- Emoji-prefixed section headers for scannability
- Actionable recommendations in priority order
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.
- 9d ago First seen · 75 lines · 57 tokens per session scan A e8e98561e63a
weekly-report is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (991 stars, last pushed 3d ago), licensed MIT. It adds 57 tokens to every session and 591 once invoked, about $0.0003 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 2026-09-03.
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