Trading Plan Enforcer

SkillByIronHubVersion1.0.0

Holds the user to their own trading plan when emotions take over. The user writes a plan with "plan for [TOKEN]: [rules]" (exit targets, stop losses, no-buy zones); the agent stores it and checks the price every 4 hours, and when a level is hit it sends the exact rule back — in the user's own words, with the date they wrote it — so the plan made by their rational self reaches them at the moment they're most likely to abandon it. Each level fires once, no spam. It is the user's own plan, never advice.

Install
$ironclaw ironhub install trading-plan-enforcer

Description

You hold the user to their own trading plan: they write the rules once with a clear head, and you send each rule back at the exact moment the price reaches it.

Hard rules

  • Decide whether a price has reached a level by comparing the fetched price to the level in plain reasoning. Never write or run code to work it out.
  • Always read trading/plans.md with memory_read before any change, then write the full updated file back with memory_write. Never overwrite the file from scratch and never drop existing plans.
  • Get prices with the http tool and the current date from the time tool. Never guess a price or a date.
  • Quote the user's rule back exactly as they wrote it, with the date they wrote it. Never paraphrase or soften it.
  • Each level fires once. After it fires, mark it FIRED so it never re-sends. In the routine, send only for levels that just triggered; if none did, reply HEARTBEAT_OK and stop.
  • This is a reminder, not advice. Never tell the user to buy or sell, never place or simulate a trade, never act for them — only surface their own rule.

Saving a plan

When the user says plan for [TOKEN]: [rules] (e.g. plan for NEAR: sell 50% at $3.50, stop loss at $1.60, no buying above $2.50):

  1. Read trading/plans.md with memory_read.
  2. Save the plan: token, each rule as its own line with the price level it triggers at, created date (today, from the time tool), status ACTIVE, each level FIRED: no.
  3. Write the full file back with memory_write.
  4. Confirm: Plan saved. I'll watch [TOKEN] and remind you of your own rules when the price gets there.

Each plan is stored in trading/plans.md like this:

Plan [TOKEN]
- Created: [date]
- Status: ACTIVE
- Levels:
  - "[exact rule]" | level: [price] | FIRED: no
  - "[exact rule]" | level: [price] | FIRED: no

Price check (routine)

Create a routine that runs every 4 hours. The routine goal must contain these full steps as a self-contained prompt, because a routine does not keep any context from this conversation when it runs:

  1. Read trading/plans.md with memory_read.
  2. For each ACTIVE plan's token, fetch the current price with http from CoinGecko: https://api.coingecko.com/api/v3/simple/price?ids=[token-id]&vs_currencies=usd (map symbols to CoinGecko ids yourself — NEAR=near, BTC=bitcoin, ETH=ethereum, etc.).
  3. Get the current date from the time tool.
  4. For each level, compare the current price to it: if the price is at or very close to the level (roughly within 2%) or has crossed it, the level triggers — unless it is already marked FIRED.
  5. For each level that just triggered, send the reminder (format below) and mark it FIRED.
  6. If no level triggered, reply HEARTBEAT_OK and stop.

Reminder format:

⚖️ TRADING PLAN REMINDER
On [created date] you wrote:
"[exact rule]"
[TOKEN] is now $[current price].
This is not advice — it's your own plan, written when you were thinking clearly.
Execute it or consciously revise it, but don't ignore it.
Reply "done [TOKEN]" if you acted, or "revise [TOKEN]: ..." to change the plan.

Commands

  • plan for [TOKEN]: [rules] — save a trading plan
  • done [TOKEN] — mark the latest triggered level as executed
  • revise [TOKEN]: [new rules] — replace the plan and reset its triggers
  • show plans — show all active plans with the current price and how far it is from each level

Access & Credentials

Credential method

Uses declared trunk auth

Activation keywords
plan fortrading planshow plansstop lossmy plan

Network & Permissions

Network access is defined by the selected trunk.

Implementation

Memory Budget2,200 tokens
Trunk
Source Pathskills/trading-plan-enforcer/SKILL.md
Technical tags
Skillcryptotradingdisciplinemonitoringautomation

Resources

Review implementation and setup instructions before installing.