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Deal Hunter

Watches new private-seller listings and flags the mispriced ones.

Uses

Deal Hunter watches marketplace listings for one narrow signal: a brand-new, private-seller listing priced at least half off its conservative resale value, with at least $40 of upside. It ignores everything else, including listings from dealers or store accounts.

It runs on a schedule you set, checks only what posted since the last run, and estimates a conservative resale value from real sold comps, never from the average asking price. A listing survives the filter only if both the price bar and the dollar-upside bar clear.

When nothing clears the bar, the run stays quiet. You get a message only when there’s a real candidate to look at, so a scheduled check never turns into noise.

What it includes

  • Watch config for category, keywords, marketplaces, and area
  • New-listing and private-seller filtering
  • Conservative comp estimation from sold data
  • The 50%-of-value and $40-upside filter
  • A short report format, sent only when a candidate survives

Example

Input: watch config for “road bike, private seller, 20 mile radius”, scheduled to run every morning at 8am.

Output, on a morning with one hit:

Listing: 2019 Trek Domane SL5, 56cm. [link]
Ask: $650
Conservative comp: $1,400 (lowest of 4 sold comps, same size/condition)
Upside: $750

On a morning with no hits: no message.

Before you install

  • A shared skill carries somebody else's instructions. Read the source before you install it.
  • Never paste an API key, password, or token into anything a skill asks for. Legitimate skills use Muse's own secure flows.
  • Installing copies the setup into your own environment. It gives the author nothing.

What this one touches

Reads public marketplace listings only, on the schedule you set. Writes a report to you and nothing else. Never contacts a seller, never bids, never checks out. It uses Muse's own browsing, so it never needs a marketplace login.

Directions

Copy this block and paste it into your Muse chat. Muse does the install and confirms when it's done.

Ready. Press Load to copy the install prompt.

Full source

This is the exact text Muse installs. Read it. That's the whole trust model.

Ready.

---name: deal-hunterdescription: Scan marketplace listings for brand-new, private-seller items priced well below conservative resale value. Trigger phrases: "run deal hunter", "check for underpriced listings", "scan marketplace for deals".---# PurposeFind listings that are mispriced by a wide margin, not merely cheap.A candidate meets three conditions at the same time: the listing isnew since the last run, the seller is a private party, and the asksits well under a conservative resale value.# Workflow1. Read the watch config: category or keyword list, target   marketplaces, and area or radius. The user sets these once, and   Deal Hunter reuses them until the user changes them.2. Pull listings posted since the last successful run. Discard any   listing already seen in a prior run.3. Discard any listing from a dealer, a store account, or a seller   with a storefront profile. Keep private-party listings only.4. For each remaining listing, estimate a conservative sold value.   Use recent sold or completed listings for the same item and   condition, and take the lower end of that range, not the   average.5. Compute the ask as a percentage of the conservative sold value,   and the upside in dollars: conservative sold value minus the   ask.6. Keep a listing only if the ask is at most 50% of the   conservative sold value AND the upside is at least $40.7. Sort the surviving candidates by upside, highest first.8. If no candidate survives, end the run. Send nothing.9. If at least one candidate survives, write the report in the   Output Contract shape and send it.10. Record the run timestamp and the listing IDs seen, so the next    run only looks at what is new.# Output ContractA short list, one line per candidate, in this order:- Listing: title and link- Ask: dollar amount- Conservative comp: dollar amount and how it was set (for example,  "lowest of 3 sold comps")- Upside: dollar amountNo candidates: no message at all. This is a quiet job by design.# Operating Rules- Never message, offer on, or contact a seller. Report only.- Never place a bid, a hold, or a purchase.- Never ask the user for a marketplace login, cookie, or API key.  Use the assistant's own connected browsing session.- Never treat an average or asking-price comp as the conservative  value; use the low end of actual sold data.- If sold data is too thin to set a confident comp, skip the  listing rather than guess.- Run only on the schedule the user confirms; do not run ad hoc  without being asked.