anakin-inc/agent-skills/anakin-monitoring
Claude Code and agent skill by anakin-inc/agent-skills
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Checking that the SKILL.md file is still in the repository.
Use when the user wants to watch a web page, site, or Wire action for changes over time rather than fetch it once — price drops, stock or status changes, competitor page edits, new listings, content diffs, or scheduled checks with webhook/email alerts. Covers monitor_create, monitor_list, monitor_changes, monitor_control.
Install
npx vskill@latest install anakin-inc/agent-skills/anakin-monitoringSKILL.md
Anakin: website monitoring
Scheduled checks that record a change when watched content differs from the previous run, optionally alerting a webhook or email.
Use this instead of re-scraping on a loop. If the user says "tell me when", "watch for", "alert me if", or "track over time", that is a monitor — not a repeated scrape.
Creating a monitor
monitor_create requires url and intervalMinutes (minimum 15).
Scope — what gets watched
"page"(default) — one URL."site"— crawls the site each run and tracks pages added, removed, changed.
Scope it with maxPages, maxDepth, includePatterns, excludePatterns.
"wire"— runs a Wire action each check and diffs its JSON. Pass
wireActionId (or wireCatalogSlug), wireParams, wireCredentialId, and wireWatchPaths to watch specific fields.
Watch mode — this is the cost lever
"full_page"— 2 credits/check, compares the whole page."specific_data"— 3 credits/check, extracts only the fields in
outputSchema with AI.
specific_data costs more per check but is usually the right choice for price, stock, or status tracking: full_page fires on any incidental edit, so you pay for checks and wade through noise. Define an outputSchema with just the fields that matter.
aiMode adds +1 credit/check and filters trivial noise, summarizing real changes. Worth it on pages that churn. Pair it with aiGoal, a plain-language rule for which changes count, e.g. "only when the price drops or it goes out of stock". Without one, the filter guesses what matters.
In full_page mode, watchFormat sets what is compared: "markdown" (default), "html", or "cleaned_html". Keep the default unless the change you care about lives in markup that markdown drops, such as attributes or hidden elements.
Cost arithmetic before you create
Credits/day = (1440 / intervalMinutes) x per-check cost. A 15-minute specific_data monitor with aiMode is 96 x 4 = 384 credits/day. Compute this and tell the user before creating — a short interval on a high-cost mode is an easy way to burn a plan.
Active-monitor caps: Free 5, Pro 20, Scale 100.
Other options
alertWebhookUrl, alertEmails, useBrowser, country, sessionId (for login-protected pages — see anakin-browser), expiresAt, isActive.
Managing monitors
monitor_list— all monitors, or passidfor one monitor's full config and
status (next/last check, active state, per-check cost, alerts). Call this first to get an id.
monitor_changes— the detected changes for a monitor id, each with a
diff/summary (plus the AI summary when aiMode is on).
monitor_control—"pause","resume","run_now","delete".resumemay hit the plan's active-monitor cap.run_nowis billed like a normal check.- `delete` permanently removes the monitor and its entire history. Confirm
with the user first; there is no undo.
Working pattern
scrapethe URL once to confirm the data is actually there and stable.- Decide
watchModefrom what the user cares about — defineoutputSchemafor
specific_data.
- Pick the longest
intervalMinutesthat still meets the need. - State the credits/day, then
monitor_create. - Report the monitor id back so the user can manage it later.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/anakin-monitoring/SKILL.md
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