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 Szotasz/marveen --skill memoria-heartbeatgit clone --depth 1 https://github.com/Szotasz/marveenWrote 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/szotasz/marveen/memoria-heartbeat)<a href="https://agentmods.dev/skills/szotasz/marveen/memoria-heartbeat"><img src="https://agentmods.dev/badge/skills/szotasz/marveen/memoria-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/szotasz/marveen/memoria-heartbeat"><img src="https://agentmods.dev/badge/skills/szotasz/marveen/memoria-heartbeat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 65 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- medium Data Exfiltration · line 35 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Agent Snooping · line 64 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Rogue Agent · line 64 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00044 | $0.02244 |
| Opus 5 | $0.00022 | $0.01122 |
| Sonnet 5 | $0.00009 | $0.00449 |
| Haiku 4.5 | $0.00004 | $0.00224 |
Grade A, and why
memoria-heartbeat 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.
curl -s -X POST http://localhost:3420/api/memories \ How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
0. ELŐSZÖR: Van-e várakozó Telegram üzenet?
Mielőtt bármit csinálnál, nézd meg a session inputját: ha van <channel source= kezdetű blokk a kontextusban (azaz a felhasználó küldött valamit egy csatornán -- Telegram, Slack, stb.), azonnal válaszolj rá -- a heartbeat logika (A/B/C, csendben maradás) NEM vonatkozik a közvetlen felhasználói üzenetekre. Válasz után folytasd a heartbeat-et.
Nézd át, mi történt az előző memória-kör óta. Két dolgot csinálj:
AZ ABLAK "AZ ELŐZŐ KÖR ÓTA", NEM FIX PERCSZÁM -- MÉRVE 2026-08-22, ÚJRAMÉRVE 2026-08-27. A szöveg korábban fix percszámot mondott, és a rögzített szám KÉTSZER is elavult. Ezért nincs benne szám többé: a fix percszám a konfigurált kadenciával együtt avul, "az előző kör óta" nem.
AMIT 2026-08-27-EN MEGMERTEM, ha valaki mégis a számra kíváncsi (és ne erre építs): a
task-config.json*/15 * * * *-ot mond, de askipIfBusy: truemiatt a hozzám ELJUTÓ kadencia 30 perc. Atask_runstökéletesen váltakozik: :00 skipped, :15 fired, :30 skipped, :45 fired -- 24 órában 43 fired / 53 skipped, és 17 egymást követő fired-köz pontosan 1800-1803 mp. A :00 és :30 slot rendszeresen ütközik az órás heartbeat-digesttel és a drain-körökkel. Vagyis a KONFIGURÁLT (15) és a KÉZBESÍTETT (30) kadencia két külön szám, és a 2026-08-22-i "a kadencia 15 perc" javítás a konfiguráltat mérte, nem azt, ami ideér. Következmény, amit érdemes tudni: ez a kör soha nem fut :00-kor és :30-kor, tehát az óra tetején történtek a következő (:15 vagy :45) körben jönnek fel. Ez nem hiba, csak fáziseltolás. HA MÉGIS ÁTFEDÉST LÁTSZ: a mérce nem az idő, hanem hogy lezártad-e már. Ha egy munkára már írtál memóriát vagy patcheltél skillt az előző körben, az KÉSZ -- ne írd meg újra más szavakkal.
1. Memória mentés
Ha volt fontos döntés, preferencia, tanulság vagy bármi ami később hasznos, mentsd el:
curl -s -X POST http://localhost:3420/api/memories \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $(cat {{INSTALL_DIR}}/store/.dashboard-token)" \
-d '{"agent_id":"SAJAT_NEVED","content":"...","category":"warm","keywords":"..."}'
What ships with it
1 file 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.
- 8d ago Changed · +7 lines bd4690810148
- 12d ago First seen · 113 lines · 44 tokens per session scan A 35f0d15d320a
memoria-heartbeat is a skill published in the GitHub repository Szotasz/marveen (98 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 2,244 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
family-knowledge
Family knowledge base for recording and retrieving household facts (members, allergies, dietary rules, doctors, schedules, house rules, pets, important dates).
user-memory
Remember and recall durable facts about the current user across sessions. Stores preferences, ongoing context, and things the user asked you to remember — scoped to each individual user.
openopc
An organisation runtime for turning an AI assistant into a group of role-based workers. It creates an organisation structure, breaks work into dependent tasks that can run in parallel, tracks approvals and handoffs, and stores organisational memory.
openakashic
Persistent memory for AI agents across sessions. Search what others figured out, write what you learn, publish what deserves a wider audience.
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory.