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 dinglebear-ai/rapprise --skill apprisegit clone --depth 1 https://github.com/dinglebear-ai/rappriseWrote 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/dinglebear-ai/rapprise/apprise)<a href="https://agentmods.dev/skills/dinglebear-ai/rapprise/apprise"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/rapprise/apprise/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/dinglebear-ai/rapprise/apprise"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/rapprise/apprise.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 | $0.00189 | $0.01604 |
| Opus 5 | $0.00095 | $0.00802 |
| Sonnet 5 | $0.00038 | $0.00321 |
| Haiku 4.5 | $0.00019 | $0.00160 |
Grade A, and why
apprise scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
direct REST API curl calls. Trigger phrases include: send notification, push alert, Apprise The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 8d ago First seen · 180 lines · 189 tokens per session scan A 358df1f11702
apprise is a skill published in the GitHub repository dinglebear-ai/rapprise (2 stars, last pushed 14d ago), licensed AGPL-3.0. It adds 189 tokens to every session and 1,604 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
gws-drive
Google Drive: Manage files, folders, and shared drives.
gws-calendar
Google Calendar: Manage calendars and events.
gws-chat
Google Chat: Manage Chat spaces and messages.
gws-gmail-forward
Gmail: Forward a message to new recipients.
gws-gmail-reply-all
Gmail: Reply-all to a message (handles threading automatically).
gws-gmail-reply
Gmail: Reply to a message (handles threading automatically).