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 dailyaiagents-cpu/dailyai-os --skill heartbeat-silence-checkgit clone --depth 1 https://github.com/dailyaiagents-cpu/dailyai-osWrote 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/dailyaiagents-cpu/dailyai-os/heartbeat-silence-check)<a href="https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/heartbeat-silence-check"><img src="https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/heartbeat-silence-check/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/dailyaiagents-cpu/dailyai-os/heartbeat-silence-check"><img src="https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/heartbeat-silence-check.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 | $0.00072 | $0.00710 |
| Opus 5.5 | $0.00029 | $0.00284 |
| Sonnet 5.5 | $0.00014 | $0.00142 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
heartbeat-silence-check 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 2mo 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
heartbeat-silence-check
A monitor-the-monitor. The heartbeat-collector writes
workspace/system_memory/heartbeats.json every 15 minutes. When that
write stops happening, the memory-sync audits silently report stale data
forever. cont-14 found a 67-hour silence that 22 audits failed to
escalate. This skill closes that gap by checking the file's mtime on a
schedule and voice-alerting + Telegramming when it ages past 6 hours.
Procedure
bash skills/heartbeat-silence-check/run.sh
Exit codes:
- 0: GREEN (mtime within threshold)
- 1: RED (mtime exceeds threshold, alert fired)
- 2: error (file missing / read failure)
Flags
--threshold-seconds N(default 21600 = 6h) — age past which RED fires--dry-run— print the verdict, skip voice-alert + Telegram--quiet— emit nothing on GREEN (default emits one-line status)
Silence-detector design choices
- 6h threshold, not 1h — collector's own StartInterval is 15 min, so 4 misses = 60 min would be too tight. 6h is "definitely something is wrong, not a transient launchd hiccup."
- High priority alerting — voice-alert priority=high (Daniel/200wpm)
- Telegram priority=high. The whole point is to break through and notice. Low-priority would be the same failure mode this skill exists to fix.
- No auto-revival — this skill is a detector, not a fixer. Cooper (or a follow-up ops session) decides whether to re-bootstrap the collector vs. dig in.
- Skill, not Python — per CLAUDE.md "SKILLS NOT PYTHON" rule and P8 build-prompt-checklist. The detection is a 20-line bash; no daemon, no library — fits the skill mold cleanly.
Anti-runaway
If the silence-detector itself fires repeatedly (say, every 30 min for
hours because the underlying collector is broken and Cooper is asleep),
the alerts would become noise. Mitigation: a data/state/heartbeat-silence-last-alert
timestamp file. Re-alert at most once every 6 hours after first RED.
Once the collector recovers (mtime fresh), the timestamp file is
deleted on the next GREEN run. This avoids the alert-storm pattern.
What ships with it
2 files 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.
- 2mo ago First seen · 65 lines · 72 tokens per session scan A d4f07235d0f4
heartbeat-silence-check is a skill published in the GitHub repository dailyaiagents-cpu/dailyai-os (0 stars, last pushed 6mo ago), licensed MIT. It adds 72 tokens to every session and 710 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.
heartbeat-silence-check compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| heartbeat-silence-checkdailyaiagents-cpu/dailyai-os | Skill | 0 | 6mo ago | MIT | A | 72 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |