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 taoma888/awesome-ai-skills --skill revenue-dashboardgit clone --depth 1 https://github.com/taoma888/awesome-ai-skillsWrote 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/taoma888/awesome-ai-skills/revenue-dashboard)<a href="https://agentmods.dev/skills/taoma888/awesome-ai-skills/revenue-dashboard"><img src="https://agentmods.dev/badge/skills/taoma888/awesome-ai-skills/revenue-dashboard/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/taoma888/awesome-ai-skills/revenue-dashboard"><img src="https://agentmods.dev/badge/skills/taoma888/awesome-ai-skills/revenue-dashboard.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 | $0.00063 | $0.02247 |
| Opus 5.5 | $0.00025 | $0.00899 |
| Sonnet 5.5 | $0.00013 | $0.00449 |
| Haiku 4.5 | $0.00006 | $0.00225 |
Grade A, and why
revenue-dashboard 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.
How it starts
The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📊 Revenue Dashboard
Mission: Know your number — every morning, automatically.
Aggregate all revenue streams → Calculate key metrics → Report to WeChat daily.
🎯 When to Use
Trigger when:
- "收入" / "赚了多少" / "收益" / "账单"
- "今天赚了多少"
- "收入报表" / "财务报告"
- "佣金到账了吗"
- "帮我看下收入情况"
- Any financial status or monetization health check
⚡ Hard Gate
Before pulling data, confirm scope:
╔══════════════════════════════════════════════════════╗
║ REVENUE BRIEF ║
╠══════════════════════════════════════════════════════╣
║ Income Streams Active: ║
║ ☑ Affiliate Commissions ║
║ ☑ Ad Revenue (display/sponsored) ║
□ ☐ Subscription/Membership ║
□ ☐ Digital Product Sales ║
□ ☐ Services/Consulting ║
□ ☐ Other: <specify> ║
║ ║
║ Reporting Cadence: DAILY / WEEKLY / MONTHLY ║
║ Alert Threshold: ¥X (notify if daily < X) ║
╚══════════════════════════════════════════════════════╝
🔁 The Revenue Intelligence Loop
STEP 1: COLLECT
→ Pull data from all income sources (APIs, manual entry)
→ Normalize currencies and time zones
↓
STEP 2: CALCULATE
→ Compute MRR, ARPU, LTV, ROAS, conversion rates
→ Compare vs. previous period
↓
STEP 3: ANALYZE
→ Identify top performers and underperformers
→ Detect anomalies (sudden drops or spikes)
→ Calculate channel attribution
↓
STEP 4: REPORT
→ Format daily WeChat digest
→ Flag issues requiring attention
→ Recommend specific actions
↓
STEP 5: ALERT
→ If revenue < alert threshold → immediate notification
→ If anomaly detected → investigate + notify
Step 1: COLLECT — Data Sources
Affiliate Networks (API)
| Network | Data Available | Update Frequency |
|---|---|---|
| 阿里云百炼 | Clicks, Conversions, Commission | Daily |
| Amazon Associates | Earnings, Orders | Daily |
| Awin | Impressions, Clicks, Commission | Daily |
| ShareASale | Sales, Commission | Daily |
| CJ Affiliate | Performance | Daily |
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 · 307 lines · 63 tokens per session scan A 051f863df247
revenue-dashboard is a skill published in the GitHub repository taoma888/awesome-ai-skills (8 stars, last pushed 6mo ago), licensed MIT. It adds 63 tokens to every session and 2,247 once invoked, about $0.0003 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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