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 mergisi/awesome-hermes-agent --skill weekly-mrr-digestgit clone --depth 1 https://github.com/mergisi/awesome-hermes-agentWrote 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/mergisi/awesome-hermes-agent/weekly-mrr-digest)<a href="https://agentmods.dev/skills/mergisi/awesome-hermes-agent/weekly-mrr-digest"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-hermes-agent/weekly-mrr-digest/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/mergisi/awesome-hermes-agent/weekly-mrr-digest"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-hermes-agent/weekly-mrr-digest.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 | $0.00038 | $0.01401 |
| Opus 5 | $0.00019 | $0.00700 |
| Sonnet 5 | $0.00008 | $0.00280 |
| Haiku 4.5 | $0.00004 | $0.00140 |
Grade A, and why
weekly-mrr-digest 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 11d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly MRR Digest
A weekly metrics report for solo founders and small SaaS teams who don't have a data analyst yet. Pulls Stripe, Mixpanel (or Amplitude / PostHog), and GA4, computes the core SaaS numbers, runs anomaly detection on each one, and sends a plain-English digest to Slack every Monday at 9am.
What this skill does
Every Monday at 9am (or whenever you schedule it):
- Pull from data sources — Stripe (subscriptions, invoices, refunds), Mixpanel/Amplitude/PostHog (events, cohorts), GA4 (traffic, attribution).
- Compute the core SaaS metrics:
- MRR (current week, +/- vs last week, MoM)
- Net new MRR (new subs minus churned)
- Churn rate (last 30d, last 7d)
- ARPU
- Signup → paid conversion (last 14d, last 90d trailing)
- Activation rate (you define what activation means in the config)
- Top traffic sources by signups, by paid conversion
- Run anomaly detection — z-score against trailing 30-day baseline. Flag any metric 2σ+ off in either direction.
- Add narrative context — "MRR dipped because 3 annual subs churned this week. Two were on the deprecated $19 tier. The third left a feedback note (link)."
- Surface 1-3 action items — based on what's anomalous, suggest the most leveraged thing to investigate this week.
- Send to Slack — to the channel you specify, formatted as Slack mrkdwn with metric blocks and a TL;DR at the top.
What this skill does NOT do
- It does NOT replace a real data analyst — for ad-hoc questions ("why did churn spike in Brazil?"), you still need someone who can write SQL.
- It does NOT build dashboards. For real-time visibility, use Mixpanel/Amplitude's native dashboards or pair with a separate dashboard skill.
- It does NOT predict future MRR. Forecasting is a separate problem; this skill is descriptive analytics, not predictive.
- It does NOT replace Stripe Sigma for deep financial analysis.
How to invoke
Scheduled (recommended): use Hermes' built-in cron.
/cron weekly "every Monday at 9am, run /weekly-mrr-digest and post to #standups"
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.
- 11d ago First seen · 130 lines · 38 tokens per session scan A 2df0753e7bc7
weekly-mrr-digest is a skill published in the GitHub repository mergisi/awesome-hermes-agent (2 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 1,401 once invoked, about $0.0002 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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