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 Extelligence-ai/bagel --skill operating-live-sinksgit clone --depth 1 https://github.com/Extelligence-ai/bagelWrote 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/extelligence-ai/bagel/operating-live-sinks)<a href="https://agentmods.dev/skills/extelligence-ai/bagel/operating-live-sinks"><img src="https://agentmods.dev/badge/skills/extelligence-ai/bagel/operating-live-sinks/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/extelligence-ai/bagel/operating-live-sinks"><img src="https://agentmods.dev/badge/skills/extelligence-ai/bagel/operating-live-sinks.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 | $0.00045 | $0.00227 |
| Opus 5 | $0.00023 | $0.00113 |
| Sonnet 5 | $0.00009 | $0.00045 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
operating-live-sinks 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.
What it actually says
Operating live sinks
Live data flows into per-topic rolling disk buffers on the bagel server; standing pipelines run against them.
- Discover what a live source publishes with
list_live_topics, thensubscribe_live_topicsto start recording; each topic gets a rolling buffer (JSONL_BUFFER_SIZE_PER_TOPIC_BYTES, default 1 GB per topic). - The subscription's directory path is returned; pass it as the
pathfor queries and pipelines over the live data. - Standing pipelines that must survive container restarts belong in the
STARTUP_PIPELINES_FILEmanifest: they are re-established on boot. - Artifacts (snippets, exports) land under the artifacts directory and are never cleaned up automatically: they are the user's deliverables. See references/settings-knobs.md for every knob and its default.
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 · 21 lines · 45 tokens per session scan A f9e527a19b87
operating-live-sinks is a skill published in the GitHub repository Extelligence-ai/bagel (397 stars, last pushed 2d ago), licensed Apache-2.0. It adds 45 tokens to every session and 227 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 2026-08-30.
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