deal-checker

deal-checker is a skill for Claude Code, Codex from surfmind-space/awesome-surfmind. It costs 77 tokens per session (1,254 once invoked), scanned A, original, MIT.

A price-checking guide for deciding whether a product is worth its current price. It compares current alternatives, total cost, and timing before giving a buy, wait, or skip view.

In plain words
What is it for?
Evaluate deals, compare alternatives, estimate typical price ranges, and decide whether to buy now, wait, or skip.
Why use it?
It helps separate a genuinely reasonable price from seller claims, missing costs, and pressure to purchase quickly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Evaluate deals, compare alternatives, estimate typical price ranges, and decide whether to buy now, wait, or skip.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/surfmind-space/awesome-surfmind/deal-checker
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 surfmind-space/awesome-surfmind --skill deal-checker
Clone the repo
git clone --depth 1 https://github.com/surfmind-space/awesome-surfmind

Made for: Claude Code, Codex.

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 deal-checker

README.md
[![agentmods](https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/deal-checker/github.svg)](https://agentmods.dev/skills/surfmind-space/awesome-surfmind/deal-checker)
Your own site
<a href="https://agentmods.dev/skills/surfmind-space/awesome-surfmind/deal-checker"><img src="https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/deal-checker/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 deal-checker

Your own site · 80×15
<a href="https://agentmods.dev/skills/surfmind-space/awesome-surfmind/deal-checker"><img src="https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/deal-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,254 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 $0.00077 $0.01254
Opus 5 $0.00039 $0.00627
Sonnet 5 $0.00015 $0.00251
Haiku 4.5 $0.00008 $0.00125

Measured 12d ago against content hash 31e20d5d7514, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

deal-checker 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 12d 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/deal-checker/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deal Checker

Judge whether the price in front of the user is actually worth paying, and give a clear buy / wait / skip call.

Three kinds of claim are off-limits as statements of fact — a web search does not earn them, because a search snapshot is not price history and a sale badge is the seller's marketing, not proof: (a) that a price is "the lowest" / "an all-time low" / "the best price"; (b) that a price "will drop" or "will come back" (a future move is always a maybe, never a fact); (c) that it's "X% off list/MSRP" — the struck-through list price is itself a claim to check. Surface all three as things for the user to verify ("the listing claims 42% off — confirm on a price-history tool like CamelCamelCamel"), never as your own assertion. Likewise, don't put a specific number forward as "the going rate" or "what you should pay" unless it's an actual current quote you can point to; otherwise give a rough range and call it an estimate to confirm.

Stay neutral: don't push the user toward or away from a purchase. Drop promotional or pressuring language ("buy now", "the discount is real", "risk-free", "don't miss it") — your job is to inform the decision, not sell it.

  1. Extract the item, price, included features, seller, and delivery/return/warranty terms from the page, cart, or the user's request.
  2. Compare against typical prices, competitor offers, and recent reviews — use web search or any browser/market tool available; when you can't, name the specific checks the user should run.
  3. Weigh total cost (shipping, fees, warranty) and timing — known sale events, model refreshes, or price-history patterns that suggest waiting.
  4. Explicitly separate what you verified from what you're assuming — label it, with a short "Verified vs. assumed" note or inline verified: / assuming: markers. A number you didn't confirm from a real source this session is an assumption, so label it assuming: — don't dress a guess as verified:, and note that the label never licenses an off-limits claim from above. Flag red flags like inflated "list" prices, thin return policies, or unfamiliar sellers.

When the request is ambiguous, ask before you research. If the product name maps to several variants at different prices (e.g. "BlackShark V2" could be the V2, V2 X, or V2 Pro), or the price, seller, or condition is unknown, or anything material is unclear, pause and ask the user one or two specific clarifying questions — which exact variant, and the price or link they're looking at — before committing to deep research or quoting any numbers. Don't resolve the ambiguity yourself by pricing every variant; a short clarifying question beats a confident guess across products you can't tell apart, and a price you make up to fill the gap is the failure mode to avoid. Asking first does not mean abandoning the format: still use the standard section headings below. Fill Value assessment, Better alternatives to check, and Red flags with the variant-agnostic guidance you can honestly give (ranges labeled as estimates to verify, what to watch for), and use the Recommendation section to withhold the call and ask for the missing price/variant. Don't replace the structure with a freeform "what I need from you" note — the clarifying questions live inside the normal sections, they don't displace them.

Return concise headings and include these sections when they fit: Deal summary, Value assessment, Better alternatives to check, Red flags, Recommendation. The Recommendation must land on exactly one call — buy, wait, or skip — as a single headline verdict. Never stack multiple verdicts ("buy now, or wait, or skip…") or hedge with "it depends"; put any conditions as caveats under that one call. If the visible context is genuinely insufficient to decide, that's its own answer: say what's missing, ask for it, give the best supported next step, and either withhold the call explicitly or give the call the available evidence supports — don't silently emit several.

Read the full file on GitHub · 55 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. 12d ago First seen · 55 lines · 77 tokens per session scan A 31e20d5d7514

Subscribe to this mod's changes

deal-checker is a skill published in the GitHub repository surfmind-space/awesome-surfmind (5 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,254 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

shopify-developer

Complete Shopify development reference covering Liquid templating, OS 2.0 themes, GraphQL APIs, Hydrogen, Functions, and performance optimization (API v2026-01). Use when working with .liquid files, building Shopify themes or apps, writing GraphQL queries for Shopify, debugging Liquid errors, creating app extensions…

tech-leads-club/agent-skills · 127 tokens

live-commerce-operations-knowledge-builder

A skill for turning live-stream sales materials—such as schedules, product plans, host scripts, workflows, and review metrics—into an AI-ready operations knowledge base.

limecloud/lime · 98 tokens

simple-review-analyzer

An AI tool for analysing online shop reviews from services such as Amazon, eBay, and AliExpress. It extracts customer themes, user profiles, problems, and VOC, meaning the recurring feedback customers express about a product.

liangdabiao/simple-review-analyzer · 175 tokens

ecommerce-product-manager

Expert E-commerce Product Manager with deep knowledge of online retail strategy, conversion optimization, marketplace operations, and platform-specific tactics for Amazon, Shopify, and Alibaba. Use when: ecommerce-strategy, product-launch, conversion-optimization, marketplace-management, pricing-strategy.

theneoai/awesome-skills · 0 tokens

ecommerce-livestream-trainer

Expert-level E-commerce Livestream Trainer with deep knowledge of live selling techniques, platform operations (TikTok Shop, Taobao Live, JD Live), audience engagement, and sales conversion.

theneoai/awesome-skills · 43 tokens

order

Place orders on Bob's Online Store. Use when the user wants to add items to a cart, apply coupons, choose shipping, and complete checkout via API. Handles the full purchase workflow from cart to confirmation. Requires a Bearer token (user must be logged in). Do NOT use for product search or browsing.

0xtresser/Web-Skills-Protocol · 65 tokens