anakin-inc/opencode-anakin/anakin-monitoring

Claude Code and agent skill by anakin-inc/opencode-anakin

Trust tier 3
  • community
Source check pending

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/opencode-anakin/anakin-monitoring

SKILL.md

The same SKILL.md was published earlier as anakin-inc/agent-skills/anakin-monitoring.

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 pass id for 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".
  • resume may hit the plan's active-monitor cap.
  • run_now is 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

  1. scrape the URL once to confirm the data is actually there and stable.
  2. Decide watchMode from what the user cares about — define outputSchema for

specific_data.

  1. Pick the longest intervalMinutes that still meets the need.
  2. State the credits/day, then monitor_create.
  3. Report the monitor id back so the user can manage it later.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

7-day trend score
0

Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/anakin-inc/opencode-anakin/anakin-monitoring/badge)](https://verified-skill.com/skills/anakin-inc/opencode-anakin/anakin-monitoring)

Something wrong with this skill or its page? Tell us.