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Desk Post-Trade Review
Trading
⚙ Needs: Use "Desk Post-Trade Review" with your Muse.

Desk Post-Trade Review

Journal every desk day and review each closed trade from the exchange record: process graded apart from outcome, costs measured, one repeatable finding per review.

⚠️ **Trading warning / Avertissement trading** : informational only, not investment advice. A review explains what a finished trade cost and how it was run; it cannot make the next trade profitable, and a good outcome on a broken process is luck, not evidence. No review here is a promise of return. Curated by Skill Harbor: the journaling and review procedure of HyperGrok, Galleon Labs' seven-agent trading desk for Hyperliquid, written for the Trade Reviewer role. It has four parts. First, the journal: one append-only file per active day, every line with a UTC time and an id, entries for openings, risk decisions, approvals, sends, fills, closes, limit changes, incidents and notes, with corrections added as new lines and no opinions allowed. Second, the trade review, triggered when a proposal closes: it works from the exchange record first (the proposal file, fills for the window, historical orders and order status by cloid, funding paid), and computes entry and exit slippage in basis points, fees in dollars and as a share of notional with maker and taker noted, funding over the holding window, the net result in dollars and in R, whether a reduce-only stop rested on the exchange for the entire life of the position, lifecycle completeness, and holding time. The grade keeps two columns strictly apart: process (clean, minor break or major break, with the stage named; any send without a PASS or an approval by id, any missing protection, any resend on an unknown result or any breached limit is a major break) and outcome, stated in R and dollars without adjectives. Each review ends with exactly one repeatable finding. Third, a weekly desk review rolls up counts, hit rate, expectancy in R, largest loss and drawdown, costs as a share of gross PnL, process breaks and limit changes, with no trade recommendations. Fourth, incident reviews are blameless in tone and exact in fact. From the galleonlabs/hypergrok-trading-desk repository (MIT). Honest caveats: the review is only as good as the fills and journal lines it reads, chat memory is explicitly not a source, and counterfactuals about holding longer are excluded as non-evidence. Skill Harbor never reviews the code, review it yourself before use.
At a glance
What
Journal every desk day and review each closed trade from the exchange record: process graded apart from outcome, costs measured, one repeatable finding per review.
Cost
Free
Needs
Use "Desk Post-Trade Review" with your Muse.
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

⌁

Install

Copy the install package below, then paste it into Muse
Wanna be extra careful?

The install prompt below already includes the vetting steps: your agent follows the community checklist before installing anything with executable code. Want more?

How to check a build before installing →

Use "Desk Post-Trade Review" with your Muse. Prerequisites: a cloned copy of the repo (git clone https://github.com/galleonlabs/hypergrok-trading-desk), the desk journal and proposal files on hand, and read access to the exchange record (fills, historical orders and funding through the Hyperliquid Account skill). This skill is documentation and analysis only: it sends nothing, needs no signing key, and works just as well on testnet trades while you rehearse the desk. 1. Open the skill: https://github.com/galleonlabs/hypergrok-trading-desk/blob/main/skills/desk-post-trade-review/SKILL.md and copy the full SKILL.md text. 2. Paste it into a chat with Muse and add: "Review this closed proposal from the exchange record: entry and exit slippage, fees, funding, net result in dollars and in R, protection coverage, then the process grade and the outcome grade kept apart, and one repeatable finding." 3. Check the inputs before the verdict: every figure should trace to a fill, an order record or a journal line with a UTC time, not to what anyone remembers saying in chat. Tip: grade the process before you look at the outcome; a profitable trade with a missing stop is a major break with a lucky ending, and the review should say exactly that. Safety: a skill is plain-text instructions; it runs nothing by itself. Review and journaling only, no orders of any kind. Informational only, not investment advice.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

Where does my money go?

Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.