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 gabrielmoreira/agent-skills-mirror --skill rlm-heartbeatgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/rlm-heartbeat)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/rlm-heartbeat"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/rlm-heartbeat/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/gabrielmoreira/agent-skills-mirror/rlm-heartbeat"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/rlm-heartbeat.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 | $0.00046 | $0.00539 |
| Opus 5.5 | $0.00018 | $0.00216 |
| Sonnet 5.5 | $0.00009 | $0.00108 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
rlm-heartbeat 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 9d 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.
This is a copy
100% identical to rlm-heartbeat — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RLM Heartbeat
RLM heartbeats are internal recurring prompts for the current agent session.
They are separate from the user's visible /heartbeat: this skill cannot read,
replace, pause, resume, or clear that user-level heartbeat.
Call directly from the Python REPL:
await rlm_heartbeat.create("check test progress", interval="5m", label="tests")
await rlm_heartbeat.create("watch build", delivery_mode="follow_up")
await rlm_heartbeat.list()
await rlm_heartbeat.update("job-id", status="pause")
await rlm_heartbeat.delete("job-id")
API
await rlm_heartbeat.list(include_inactive=False)— list this session's internal RLM heartbeats. By default this includes active and paused entries.await rlm_heartbeat.create(instruction, interval=None, label=None, delivery_mode=None)— create a recurring heartbeat for this session. The default interval is every 5 minutes. Multiple RLM heartbeats may run at once; use labels to distinguish them.delivery_modeis"steer"(default) or"follow_up".await rlm_heartbeat.update(id, instruction=None, interval=None, label=None, status=None, delivery_mode=None)— update one RLM heartbeat by id.statusmay be"pause"or"resume";delivery_modemay be"steer"or"follow_up".await rlm_heartbeat.delete(id)— cancel one RLM heartbeat by id.
Delivery mode
Each heartbeat has a delivery mode controlling how the scheduled prompt reaches the session when it is busy:
steer(default): interrupt the current turn so the heartbeat runs promptly.follow_up: wait for the current turn to finish before running the heartbeat.
Rules
- Use this when the user asks you to start, create, schedule, or manage your own
heartbeat without explicitly referring to
/heartbeat. - Use this only for agent-internal recurring checks and long-running task coordination.
- Do not use this skill to satisfy a user's request to configure
/heartbeat; that is a separate user-level surface. - Keep heartbeat instructions specific and actionable so each recurring turn knows exactly what to inspect or continue.
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.
- 9d ago First seen · 55 lines · 46 tokens per session scan A 021daa60f9e9
rlm-heartbeat is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (19 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 539 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to rlm-heartbeat, differing in 0 lines, and is treated as a copy.
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