hive-stateful-monitoring

hive-stateful-monitoring is a skill for Claude Code from hive-intel/hive-sdk. It costs 103 tokens per session (1,383 once invoked), scanned A, original, MIT.

A tool for creating ongoing checks that remember a crypto-related request between chats. It can watch wallets, tokens, markets, protocols, and other supported crypto activity.

In plain words
What is it for?
Use it to set up alerts, scheduled reports, watchlists, and other continuing checks on crypto state.
Why use it?
It avoids having to repeat what should be watched and when to report changes or risks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hive plugin — 16 skills, 1 MCP server shipped together

Good fit Use it to set up alerts, scheduled reports, watchlists, and other continuing checks on crypto state.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hive-intel/hive-sdk/hive-stateful-monitoring
Install

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.

Any agent
npx skills add hive-intel/hive-sdk --skill hive-stateful-monitoring
Clone the repo
git clone --depth 1 https://github.com/hive-intel/hive-sdk

Made for: Claude Code.

Or install hive, the plugin that ships this one along with the rest of its 16 skills, 1 MCP server.

Wrote 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.

agentmods badge for hive-stateful-monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/hive-intel/hive-sdk/hive-stateful-monitoring/github.svg)](https://agentmods.dev/skills/hive-intel/hive-sdk/hive-stateful-monitoring)
Your own site
<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.

agentmods 80×15 button for hive-stateful-monitoring

Your own site · 80×15
<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>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,383 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 3d ago against content hash 983749a4ee69, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/hive-stateful-monitoring/SKILL.md · 121 lines

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

  1. Convert the user's durable intent into a monitor kind, target, rules, and cadence.
  2. 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 through invoke_stateful_endpoint, which must never be auto-approved.
  3. Call hive_list_monitors before creating — update instead of duplicating.
  4. Describe the proposed state change to the user and obtain explicit approval.
  5. Call hive_create_monitor for new watch requests, hive_update_monitor to change cadence, rules, target, metadata, or status, and hive_archive_monitor when the user asks Hive to stop watching.
  6. 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, or hive_generate_monitor_report.
  7. Use hive_update_alert_status when the user acknowledges, reopens, or resolves an alert.
  8. Use hive_remember_fact, hive_list_memory_facts, and hive_forget_memory_fact for durable user-scoped facts that should appear in future monitor reports.
  9. 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.

Read the full file on GitHub · 121 lines

Files

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.

Changes

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.

  1. 3d ago Changed 983749a4ee69
  2. 12d ago First seen · 121 lines · 103 tokens per session scan A 1f9e1dee6f25

Subscribe to this mod's changes

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.