manage-alerts

manage-alerts is a skill for Claude Code from ccplugins/awesome-claude-code-plugins. It costs 80 tokens per session (595 once invoked), scanned A, original, Apache-2.0.

A tool for managing a user’s AlphaAI ticker news-alert subscriptions. AlphaAI alerts notify subscribers about selected stock-news categories and relevance levels.

In plain words
What is it for?
Use it to list existing alerts, subscribe to a ticker, filter alerts by categories such as earnings or insider activity, change the minimum relevance score, or unsubscribe.
Why use it?
It lets users inspect, create, update, or remove alerts without manually tracking subscriptions, while reporting plan limits when access is restricted.

Skill for Claude Code

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

Part of the alphai plugin — 5 skills, 1 MCP server shipped together

Good fit Use it to list existing alerts, subscribe to a ticker, filter alerts by categories such as earnings or insider activity, change the minimum relevance score, or unsubscribe.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ccplugins/awesome-claude-code-plugins/manage-alerts
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 ccplugins/awesome-claude-code-plugins --skill manage-alerts
Clone the repo
git clone --depth 1 https://github.com/ccplugins/awesome-claude-code-plugins

Made for: Claude Code.

Or install alphai, the plugin that ships this one along with the rest of its 5 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 manage-alerts

README.md
[![agentmods](https://agentmods.dev/badge/skills/ccplugins/awesome-claude-code-plugins/manage-alerts/github.svg)](https://agentmods.dev/skills/ccplugins/awesome-claude-code-plugins/manage-alerts)
Your own site
<a href="https://agentmods.dev/skills/ccplugins/awesome-claude-code-plugins/manage-alerts"><img src="https://agentmods.dev/badge/skills/ccplugins/awesome-claude-code-plugins/manage-alerts/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 manage-alerts

Your own site · 80×15
<a href="https://agentmods.dev/skills/ccplugins/awesome-claude-code-plugins/manage-alerts"><img src="https://agentmods.dev/badge/skills/ccplugins/awesome-claude-code-plugins/manage-alerts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 595 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00080 $0.00595
Opus 5.5 $0.00032 $0.00238
Sonnet 5.5 $0.00016 $0.00119
Haiku 4.5 $0.00008 $0.00060

Measured 1mo ago against content hash b9d22915ec51, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

manage-alerts 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 1mo 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.

plugins/alphai/skills/manage-alerts/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manage alerts

Let the user manage their own AlphaAI ticker news-alert subscriptions from the chat. Identity comes from the OAuth login — these tools act on the caller's own account.

Tier-gated. alphai_alerts_* require a Basic or Pro plan. On the Free tier they return tier_not_paid — relay that and point to https://alphai.io/pricing instead of retrying.

Steps

  1. Show current state first. For any add/remove, call alphai_alerts_list() up front so you (and the user) can see existing subscriptions, the per-alert filters, and the tier limit (current / limit).
  2. Subscribe / update. alphai_alerts_subscribe(ticker, category_filter?, min_relevance_score?).
    • This is a partial update: omitting a field on an existing subscription preserves its current value. A brand-new subscription defaults min_relevance_score to 6.
    • category_filter is an optional whitelist from the 14 categories (e.g. ["earnings", "insider"]) — only those categories trigger the alert.
    • Confirm the ticker is real first if unsure (alphai_tickers); the tool raises unknown_ticker / limit_reached otherwise.
  3. Unsubscribe. alphai_alerts_unsubscribe(ticker) — idempotent; returns {removed: false} if it was already inactive.

Output

  • After a change, restate the resulting subscription in one line: ticker, which categories trigger it, and the minimum relevance — so the user sees exactly what they'll be alerted on.
  • For a list request, render the subscriptions as a short table (ticker · categories · min relevance · delivery mode) and note current/limit.

Guardrails

  • Confirm before mutating. Read back what you're about to subscribe to or remove before calling the write tool, especially for bulk changes.
  • Handle errors plainly: tier_not_paid → suggest upgrading; limit_reached → list current alerts so the user can free a slot; unknown_ticker → don't guess a substitute.
  • Never subscribe to tickers the user didn't ask for.

Read the full file on GitHub · 49 lines

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. 1mo ago First seen · 49 lines · 80 tokens per session scan A b9d22915ec51

Subscribe to this mod's changes

manage-alerts is a skill published in the GitHub repository ccplugins/awesome-claude-code-plugins (977 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 595 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens