Hive stateful monitoring
Skill hive-intel/hive-skills/skills/hive-stateful-monitoring
Use this skill whenever the user wants Hive to remember, watch, monitor, schedule, alert, or report on crypto state across sessions — "watch this wallet", "alert me if the price moves", "send me a daily digest", "what changed since last time", "remember that I care about X". Converts durable intent into Hive monitors, alerts, reports, and memory facts that Hive workers execute later. For one-off live questions use hive-query or a domain skill instead.From its SKILL.md
npx -y skills add hive-intel/hive-skills --skill hive-stateful-monitoringAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
3.8 KB, 746 tokens by cl100k_base, as published. Nobody here has run it
hive-stateful-monitoring — Stateful Monitoring
Turn durable intent — watch, alert, schedule, remember — into Hive monitors, alerts, reports, and memory facts. Monitor execution happens on Hive workers between sessions, not in the current chat, so the contract is: capture intent precisely, confirm what was saved, and never pretend something was saved when the call failed.
Task toolset and identifiers
Toolset: stateful_monitoring.
Required identifiers: monitor kind and target object. Worker-supported monitor
kinds are wallet, token, protocol, market, prediction_market,
watchlist_digest, token_discovery_risk, and risk_watch.
Procedure
- Convert the user's durable intent into a monitor
kind,target,rules, andcadence. - Call
hive_list_monitorsbefore creating — update instead of duplicating. - Call
hive_create_monitorfor new watch requests,hive_update_monitorto change cadence, rules, target, metadata, or status, andhive_archive_monitorwhen the user asks Hive to stop watching. - For "what changed / what is alerting / what does Hive remember": use
hive_get_monitor_runs,hive_list_observations,hive_list_alerts,hive_get_latest_snapshot, orhive_generate_monitor_report. - Use
hive_update_alert_statuswhen the user acknowledges, reopens, or resolves an alert. - Use
hive_remember_fact,hive_list_memory_facts, andhive_forget_memory_factfor durable user-scoped facts that should appear in future monitor reports. - After any write, confirm back to the user exactly what is being watched, the rules, and the cadence — that confirmation is their only window to catch a mis-captured intent before workers start running it.
For B2B adapters serving multiple tenants/end users, read
references/b2b-subject-context.md before using subject-scoped state or the
hive_list_subjects / hive_get_subject / hive_archive_subject /
hive_list_subject_audit_events tools.
Worked example
User: "Watch this Ethereum wallet and tell me when it moves more than $100k."
hive_list_monitors— no existing monitor for this wallet.hive_create_monitorwith kindwallet, the Ethereum address as target, a large-transfer rule with the $100k threshold, and the requested or default cadence.- Confirm: "Watching 0x… on Ethereum; you'll get an alert on any transfer over $100k; checks run on Hive workers at [cadence]."
User: "Send every customer a daily crypto watchlist brief."
Create a watchlist_digest monitor per B2B subject with saved wallets,
tokens, protocols, markets, and optional prediction markets in the target —
after reading the B2B reference above.
Runtime status handling
If stateful tools return missing_key or an auth-required error, explain
that hosted MCP authentication or the Hive persistence backend must be
configured before durable monitoring can be used. Do not pretend the monitor
was saved.
Hand-offs
- One-off live question, no durable intent →
hive-queryor the matching domain skill. - The data to monitor needs diligence first (which token? which pool?) → run the domain skill, then create the monitor.
What ships with it: 3 files
5.1 KB alongside SKILL.md
evals/
- evals.json2.2 KB
- triggers.json1.2 KB
references/
- b2b-subject-context.md1.7 KB