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trader-entry

An AI agent skill from Jakeschincariol/day-trader-skill, scored 70 out of 100 by code.

70/ 100B

Code score by group

  • Spec20/20
  • Description17/20
  • Procedure7/15
  • Done criteria0/15
  • Resources10/10
  • Scripts6/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Entry Timer. Watches a setup bar by bar and tells you the moment to get in. Reads free Yahoo 1-minute or 5-minute bars, builds the opening range (the first 15 minutes by default) and calls the entry on the first completed bar that CLOSES above the range high, or above a level you give it (like a 20-day high from the scanner), with an optional volume check. Says waiting and how far, triggered with the time and the price, expired, or not open yet, and writes trader/entry.json for /trader-exit. Long side only. It never places an order. Use when the user says "tell me when to get in", "watch TSLA…

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
Jakeschincariol/day-trader-skill
Folder
trader-entry
License
MIT
GitHub stars
7,218
SKILL.md lines
145
Other files
1

Add trader-entry to your agent

npx skills add Jakeschincariol/day-trader-skill --skill trader-entry

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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  4. trader-exit

    Exit Planner. Sets your stop and your target before you enter, so you know when to get out. Reads the entry from trader-entry (or a price you give), puts the stop at the opening-r…

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  5. trader-news

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  8. trader-budget

    Budget Manager. Sizes every position to your budget and your max loss per trade. Reads the trade plan from trader-exit (entry, stop, target), finds the whole shares that fit insid…

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All skills in Jakeschincariol/day-trader-skill

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.