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 hive-intel/hive-sdk --skill hive-stateful-monitoringgit clone --depth 1 https://github.com/hive-intel/hive-sdkWrote 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/hive-intel/hive-sdk/hive-stateful-monitoring)<a href="https://agentmods.dev/skills/hive-intel/hive-sdk/hive-stateful-monitoring"><img src="https://agentmods.dev/badge/skills/hive-intel/hive-sdk/hive-stateful-monitoring/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/hive-intel/hive-sdk/hive-stateful-monitoring"><img src="https://agentmods.dev/badge/skills/hive-intel/hive-sdk/hive-stateful-monitoring.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 | $0.00103 | $0.01383 |
| Opus 5 | $0.00051 | $0.00691 |
| Sonnet 5 | $0.00021 | $0.00277 |
| Haiku 4.5 | $0.00010 | $0.00138 |
Grade A, and why
hive-stateful-monitoring 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 3d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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. Read hive://toolsets/stateful_monitoring
before execution; it is authoritative for the current output schema,
material-call budget, phases, fallback condition, stop conditions, and the
read/write routing policy.
Required identifiers: monitor kind and target object. Worker-supported monitor
kinds are wallet, token, protocol, market, watchlist_digest,
token_discovery_risk, and risk_watch.
Before choosing endpoints, select exactly one matching entry from the exact workflow's routes[]. Follow its ordered steps, use a fallback only under that step's published condition, stop at four material calls, and preserve the selected route_id in the typed result. The broad coverageCatalog is discovery coverage, not an execution plan.
Procedure
- Convert the user's durable intent into a monitor
kind,target,rules, andcadence. - Inspect each exact endpoint schema. On the compact root, state reads route
through
invoke_api_endpoint. Every create, update, archive, remember, forget, acknowledge, or resolve action routes throughinvoke_stateful_endpoint, which must never be auto-approved. - Call
hive_list_monitorsbefore creating — update instead of duplicating. - Describe the proposed state change to the user and obtain explicit approval.
- 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, verify the persisted result, then 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.
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.
- 3d ago Changed 983749a4ee69
- 12d ago First seen · 121 lines · 103 tokens per session scan A 1f9e1dee6f25
hive-stateful-monitoring is a skill published in the GitHub repository hive-intel/hive-sdk (18 stars, last pushed 4d ago), licensed MIT. It adds 103 tokens to every session and 1,383 once invoked, about $0.0005 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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