Registry indexed
Read a Hyperliquid account from the desk computer - positions and margin, spot balances, open orders including trigger details, fills, funding paid, ledger updates, order status by oid or cloid, historical orders, portfolio history, fee tier and rate-limit budget - with curl and
Read a Hyperliquid account from the desk computer - positions and margin, spot balances, open orders including trigger details, fills, funding paid, ledger updates, order status by oid or cloid, historical orders, portfolio history, fee tier and rate-limit budget - with curl and Python SDK examples. Read-only, needs only the account address. Use for sizing inputs, book checks, reconciliation and reviews.
Source documentation, not instructions for this website. Review permissions before running any commands.
All reads are POST /info, unsigned. Use the account address (the main wallet the desk trades for), never the API wallet's address: queries on an agent address return empty results.
ADDR=$HYPERLIQUID_ACCOUNT_ADDRESS
BASE=$([ "$HYPERLIQUID_NETWORK" = mainnet ] && echo https://api.hyperliquid.xyz || echo https://api.hyperliquid-testnet.xyz)
hl() { curl -sS -m 15 -X POST "$BASE/info" -H 'Content-Type: application/json' -d "$1"; }
import os
from hyperliquid.info import Info
from hyperliquid.utils import constants
from hyperliquid.utils.types import Cloid
NETWORK = os.environ.get("HYPERLIQUID_NETWORK", "testnet")
info = Info(constants.MAINNET_API_URL if NETWORK == "mainnet" else constants.TESTNET_API_URL, skip_ws=True)
ADDR = os.environ["HYPERLIQUID_ACCOUNT_ADDRESS"]
hl "{\"type\":\"clearinghouseState\",\"user\":\"$ADDR\"}" | jq '{
time, accountValue: .marginSummary.accountValue, totalNtlPos: .marginSummary.totalNtlPos,
totalMarginUsed: .marginSummary.totalMarginUsed, withdrawable, crossMaintenanceMarginUsed,
positions: [.assetPositions[].position | {coin, szi, entryPx, positionValue, unrealizedPnl, returnOnEquity,
liquidationPx, marginUsed, leverage, maxLeverage, cumFunding: .cumFunding.sinceOpen}]}'
Python: info.user_state(ADDR). szi is signed size; leverage is {type: cross|isolated, value, rawUsd?}; crossMarginSummary mirrors marginSummary for the cross portion. Margin ratio for a book check: crossMaintenanceMarginUsed / crossMarginSummary.accountValue (marginSummary also counts isolated margin).
Under the account's abstraction mode ({"type":"userAbstraction","user":ADDR} returns default, disabled, unifiedAccount, portfolioMargin or dexAbstraction), USDC may live in the spot state; check both when equity looks wrong.
hl "{\"type\":\"spotClearinghouseState\",\"user\":\"$ADDR\"}" | jq '.balances[] | {coin, token, total, hold, entryNtl}'
Python: info.spot_user_state(ADDR). hold is the amount locked in open orders.
hl "{\"type\":\"openOrders\",\"user\":\"$ADDR\"}" | jq '.[] | {coin, side, limitPx, sz, oid, timestamp}'
hl "{\"type\":\"frontendOpenOrders\",\"user\":\"$ADDR\"}" | jq '.[] | {coin, side, limitPx, sz, origSz, oid, cloid, orderType, tif, reduceOnly, isTrigger, triggerPx, triggerCondition, isPositionTpsl, children}'
side is B (bid/buy) or A (ask/sell). Use frontendOpenOrders whenever you need to know whether an order is a stop or take-profit and whether it is position-tied. Python: info.open_orders(ADDR), info.frontend_open_orders(ADDR).
hl "{\"type\":\"orderStatus\",\"user\":\"$ADDR\",\"oid\":1839201122}" | jq '{status, order: .order.status, ts: .order.statusTimestamp, o: .order.order}'
hl "{\"type\":\"orderStatus\",\"user\":\"$ADDR\",\"oid\":\"0x9f3e0c1a2b3c4d5e6f708192a3b4c5d6\"}"
Returns {"status":"order","order":{"order":{...},"status":"...","statusTimestamp":...}} or {"status":"unknownOid"}. Status vocabulary: open, filled, canceled, triggered, rejected, marginCanceled, reduceOnlyCanceled, siblingFilledCanceled, scheduledCancel, liquidatedCanceled, plus rejection reasons such as tickRejected, minTradeNtlRejected, perpMarginRejected, badTriggerPxRejected, iocCancelRejected, marketOrderNoLiquidityRejected. Python: info.query_order_by_oid(ADDR, oid), info.query_order_by_cloid(ADDR, Cloid.from_str("0x...")).
This is the reconciliation call after any send whose response was lost.
hl "{\"type\":\"userFills\",\"user\":\"$ADDR\"}" | jq '.[:20][] | {time, coin, side, px, sz, dir, closedPnl, fee, feeToken, crossed, oid, cloid, tid, hash}'
START=$(( $(date +%s000) - 86400000 ))
hl "{\"type\":\"userFillsByTime\",\"user\":\"$ADDR\",\"startTime\":$START}" | jq 'length'
crossed: true means taker; fee includes any builder fee and is negative for a rebate; dir reads like Open Long, Close Short; startPosition is the size before the fill; closedPnl is realised on that fill. userFills returns the most recent 2000; userFillsByTime returns up to 2000 per call from the last 10,000. Paginate with startTime = the last time you received (inclusive, because many fills share one millisecond) and de-duplicate by tid. Python: info.user_fills(ADDR), info.user_fills_by_time(ADDR, start_ms, end_ms).
hl "{\"type\":\"userFunding\",\"user\":\"$ADDR\",\"startTime\":$START}" | jq '.[] | {time, coin: .delta.coin, usdc: .delta.usdc, rate: .delta.fundingRate, szi: .delta.szi}'
hl "{\"type\":\"userNonFundingLedgerUpdates\",\"user\":\"$ADDR\",\"startTime\":$START}" | jq '.[] | {time, type: .delta.type, delta}'
Funding usdc is signed from the account's point of view. Ledger updates cover deposits, withdrawals, transfers, liquidations and vault flows. Python: info.user_funding_history(ADDR, start_ms), info.user_non_funding_ledger_updates(ADDR, start_ms).
hl "{\"type\":\"historicalOrders\",\"user\":\"$ADDR\"}" | jq '.[:20][] | {status, statusTimestamp, o: (.order | {coin, side, limitPx, sz, origSz, oid, cloid, orderType, tif, reduceOnly, isTrigger, triggerPx})}'
hl "{\"type\":\"userTwapSliceFills\",\"user\":\"$ADDR\"}" | jq '.[:5]'
Up to 2000 recent orders with their final status; the Trade Reviewer's source for "was the stop on the exchange the whole time". Python: info.historical_orders(ADDR), info.user_twap_slice_fills(ADDR).
hl "{\"type\":\"portfolio\",\"user\":\"$ADDR\"}" | jq '.[] | select(.[0]=="day" or .[0]=="week") | {period: .[0], pnl: .[1].pnlHistory[-1], value: .[1].accountValueHistory[-1], vlm: .[1].vlm}'
hl "{\"type\":\"userFees\",\"user\":\"$ADDR\"}" | jq '{userCrossRate, userAddRate, userSpotCrossRate, userSpotAddRate, activeReferralDiscount, activeStakingDiscount}'
hl "{\"type\":\"userRateLimit\",\"user\":\"$ADDR\"}" | jq .
hl "{\"type\":\"userRole\",\"user\":\"$ADDR\"}" | jq .
hl "{\"type\":\"extraAgents\",\"user\":\"$ADDR\"}" | jq '.[] | {address, name, validUntil}'
portfolio gives PnL and account-value history per period (day, week, month, allTime, and perp-only variants); userFees gives the effective taker (userCrossRate) and maker (userAddRate) rates for the strategy lab and reviews; userRateLimit shows the address's action budget (nRequestsUsed, nRequestsCap, cumVlm); userRole classifies an address (user, agent, vault, subAccount, missing); extraAgents lists approved API wallets with expiry. Python: info.portfolio(ADDR), info.user_fees(ADDR), info.user_rate_limit(ADDR), info.user_role(ADDR), info.extra_agents(ADDR).
Per-market account data (leverage setting, available to trade, max trade sizes) without opening a position: hl "{\"type\":\"activeAssetData\",\"user\":\"$ADDR\",\"coin\":\"ETH\"}".
{"type":"subAccounts","user":ADDR} lists sub-accounts with their states; {"type":"userVaultEquities","user":ADDR} lists vault deposits; {"type":"vaultDetails","vaultAddress":"0x..."} describes a vault. The desk reads these for completeness and does not move funds between them.
clearinghouseState for equity, positions, margin, liquidation prices.frontendOpenOrders for protection (reduce-only triggers per position) and orphans.metaAndAssetCtxs for mark prices to compute liquidation distance.userFunding since start of day for funding paid.portfolio or the journal for start-of-day equity, to compute day PnL against the daily loss stop.Report per desk-risk-limits section 3.
openOrders shows trigger details; it does not. Use frontendOpenOrders.userFills and forgetting the 2000-item window; use userFillsByTime with pagination for reviews.withdrawable as free margin for new positions; use accountValue - totalMarginUsed with headroom, and check the tier.name: hyperliquid-account description: Read a Hyperliquid account from the desk computer - positions and margin, spot balances, open orders including trigger details, fills, funding paid, ledger updates, order status by oid or cloid, historical orders, portfolio history, fee tier and rate-limit budget - with curl and Python SDK examples. Read-only, needs only the account address. Use for sizing inputs, book checks, reconciliation and reviews. license: MIT metadata: version: "1.0.0" author: Galleon Labs category: hyperliquid network-default: testnet
---
name: hyperliquid-account
description: Read a Hyperliquid account from the desk computer - positions and margin, spot balances, open orders including trigger details, fills, funding paid, ledger updates, order status by oid or cloid, historical orders, portfolio history, fee tier and rate-limit budget - with curl and Python SDK examples. Read-only, needs only the account address. Use for sizing inputs, book checks, reconciliation and reviews.
license: MIT
metadata:
version: "1.0.0"
author: Galleon Labs
category: hyperliquid
network-default: testnet
---
# Hyperliquid account reads
All reads are `POST /info`, unsigned. Use the **account** address (the main wallet the desk trades for), never the API wallet's address: queries on an agent address return empty results.
```bash
ADDR=$HYPERLIQUID_ACCOUNT_ADDRESS
BASE=$([ "$HYPERLIQUID_NETWORK" = mainnet ] && echo https://api.hyperliquid.xyz || echo https://api.hyperliquid-testnet.xyz)
hl() { curl -sS -m 15 -X POST "$BASE/info" -H 'Content-Type: application/json' -d "$1"; }
```
```python
import os
from hyperliquid.info import Info
from hyperliquid.utils import constants
from hyperliquid.utils.types import Cloid
NETWORK = os.environ.get("HYPERLIQUID_NETWORK", "testnet")
info = Info(constants.MAINNET_API_URL if NETWORK == "mainnet" else constants.TESTNET_API_URL, skip_ws=True)
ADDR = os.environ["HYPERLIQUID_ACCOUNT_ADDRESS"]
```
## Perp account state
```bash
hl "{\"type\":\"clearinghouseState\",\"user\":\"$ADDR\"}" | jq '{
time, accountValue: .marginSummary.accountValue, totalNtlPos: .marginSummary.totalNtlPos,
totalMarginUsed: .marginSummary.totalMarginUsed, withdrawable, crossMaintenanceMarginUsed,
positions: [.assetPositions[].position | {coin, szi, entryPx, positionValue, unrealizedPnl, returnOnEquity,
liquidationPx, marginUsed, leverage, maxLeverage, cumFunding: .cumFunding.sinceOpen}]}'
```
Python: `info.user_state(ADDR)`. `szi` is signed size; `leverage` is `{type: cross|isolated, value, rawUsd?}`; `crossMarginSummary` mirrors `marginSummary` for the cross portion. Margin ratio for a book check: `crossMaintenanceMarginUsed / crossMarginSummary.accountValue` (`marginSummary` also counts isolated margin).
Under the account's abstraction mode (`{"type":"userAbstraction","user":ADDR}` returns `default`, `disabled`, `unifiedAccount`, `portfolioMargin` or `dexAbstraction`), USDC may live in the spot state; check both when equity looks wrong.
## Spot balances
```bash
hl "{\"type\":\"spotClearinghouseState\",\"user\":\"$ADDR\"}" | jq '.balances[] | {coin, token, total, hold, entryNtl}'
```
Python: `info.spot_user_state(ADDR)`. `hold` is the amount locked in open orders.
## Open orders
```bash
hl "{\"type\":\"openOrders\",\"user\":\"$ADDR\"}" | jq '.[] | {coin, side, limitPx, sz, oid, timestamp}'
hl "{\"type\":\"frontendOpenOrders\",\"user\":\"$ADDR\"}" | jq '.[] | {coin, side, limitPx, sz, origSz, oid, cloid, orderType, tif, reduceOnly, isTrigger, triggerPx, triggerCondition, isPositionTpsl, children}'
```
`side` is `B` (bid/buy) or `A` (ask/sell). Use `frontendOpenOrders` whenever you need to know whether an order is a stop or take-profit and whether it is position-tied. Python: `info.open_orders(ADDR)`, `info.frontend_open_orders(ADDR)`.
## Order status by oid or cloid
```bash
hl "{\"type\":\"orderStatus\",\"user\":\"$ADDR\",\"oid\":1839201122}" | jq '{status, order: .order.status, ts: .order.statusTimestamp, o: .order.order}'
hl "{\"type\":\"orderStatus\",\"user\":\"$ADDR\",\"oid\":\"0x9f3e0c1a2b3c4d5e6f708192a3b4c5d6\"}"
```
Returns `{"status":"order","order":{"order":{...},"status":"...","statusTimestamp":...}}` or `{"status":"unknownOid"}`. Status vocabulary: `open`, `filled`, `canceled`, `triggered`, `rejected`, `marginCanceled`, `reduceOnlyCanceled`, `siblingFilledCanceled`, `scheduledCancel`, `liquidatedCanceled`, plus rejection reasons such as `tickRejected`, `minTradeNtlRejected`, `perpMarginRejected`, `badTriggerPxRejected`, `iocCancelRejected`, `marketOrderNoLiquidityRejected`. Python: `info.query_order_by_oid(ADDR, oid)`, `info.query_order_by_cloid(ADDR, Cloid.from_str("0x..."))`.
This is the reconciliation call after any send whose response was lost.
## Fills
```bash
hl "{\"type\":\"userFills\",\"user\":\"$ADDR\"}" | jq '.[:20][] | {time, coin, side, px, sz, dir, closedPnl, fee, feeToken, crossed, oid, cloid, tid, hash}'
START=$(( $(date +%s000) - 86400000 ))
hl "{\"type\":\"userFillsByTime\",\"user\":\"$ADDR\",\"startTime\":$START}" | jq 'length'
```
`crossed: true` means taker; `fee` includes any builder fee and is negative for a rebate; `dir` reads like `Open Long`, `Close Short`; `startPosition` is the size before the fill; `closedPnl` is realised on that fill. `userFills` returns the most recent 2000; `userFillsByTime` returns up to 2000 per call from the last 10,000. Paginate with `startTime` = the last `time` you received (inclusive, because many fills share one millisecond) and de-duplicate by `tid`. Python: `info.user_fills(ADDR)`, `info.user_fills_by_time(ADDR, start_ms, end_ms)`.
## Funding paid and ledger
```bash
hl "{\"type\":\"userFunding\",\"user\":\"$ADDR\",\"startTime\":$START}" | jq '.[] | {time, coin: .delta.coin, usdc: .delta.usdc, rate: .delta.fundingRate, szi: .delta.szi}'
hl "{\"type\":\"userNonFundingLedgerUpdates\",\"user\":\"$ADDR\",\"startTime\":$START}" | jq '.[] | {time, type: .delta.type, delta}'
```
Funding `usdc` is signed from the account's point of view. Ledger updates cover deposits, withdrawals, transfers, liquidations and vault flows. Python: `info.user_funding_history(ADDR, start_ms)`, `info.user_non_funding_ledger_updates(ADDR, start_ms)`.
## Historical orders and TWAP fills
```bash
hl "{\"type\":\"historicalOrders\",\"user\":\"$ADDR\"}" | jq '.[:20][] | {status, statusTimestamp, o: (.order | {coin, side, limitPx, sz, origSz, oid, cloid, orderType, tif, reduceOnly, isTrigger, triggerPx})}'
hl "{\"type\":\"userTwapSliceFills\",\"user\":\"$ADDR\"}" | jq '.[:5]'
```
Up to 2000 recent orders with their final status; the Trade Reviewer's source for "was the stop on the exchange the whole time". Python: `info.historical_orders(ADDR)`, `info.user_twap_slice_fills(ADDR)`.
## Portfolio history, fees, rate limit, role
```bash
hl "{\"type\":\"portfolio\",\"user\":\"$ADDR\"}" | jq '.[] | select(.[0]=="day" or .[0]=="week") | {period: .[0], pnl: .[1].pnlHistory[-1], value: .[1].accountValueHistory[-1], vlm: .[1].vlm}'
hl "{\"type\":\"userFees\",\"user\":\"$ADDR\"}" | jq '{userCrossRate, userAddRate, userSpotCrossRate, userSpotAddRate, activeReferralDiscount, activeStakingDiscount}'
hl "{\"type\":\"userRateLimit\",\"user\":\"$ADDR\"}" | jq .
hl "{\"type\":\"userRole\",\"user\":\"$ADDR\"}" | jq .
hl "{\"type\":\"extraAgents\",\"user\":\"$ADDR\"}" | jq '.[] | {address, name, validUntil}'
```
`portfolio` gives PnL and account-value history per period (`day`, `week`, `month`, `allTime`, and perp-only variants); `userFees` gives the effective taker (`userCrossRate`) and maker (`userAddRate`) rates for the strategy lab and reviews; `userRateLimit` shows the address's action budget (`nRequestsUsed`, `nRequestsCap`, `cumVlm`); `userRole` classifies an address (`user`, `agent`, `vault`, `subAccount`, `missing`); `extraAgents` lists approved API wallets with expiry. Python: `info.portfolio(ADDR)`, `info.user_fees(ADDR)`, `info.user_rate_limit(ADDR)`, `info.user_role(ADDR)`, `info.extra_agents(ADDR)`.
Per-market account data (leverage setting, available to trade, max trade sizes) without opening a position: `hl "{\"type\":\"activeAssetData\",\"user\":\"$ADDR\",\"coin\":\"ETH\"}"`.
## Sub-accounts and vaults (read only on this desk)
`{"type":"subAccounts","user":ADDR}` lists sub-accounts with their states; `{"type":"userVaultEquities","user":ADDR}` lists vault deposits; `{"type":"vaultDetails","vaultAddress":"0x..."}` describes a vault. The desk reads these for completeness and does not move funds between them.
## Book check recipe (Risk Manager)
1. `clearinghouseState` for equity, positions, margin, liquidation prices.
2. `frontendOpenOrders` for protection (reduce-only triggers per position) and orphans.
3. `metaAndAssetCtxs` for mark prices to compute liquidation distance.
4. `userFunding` since start of day for funding paid.
5. `portfolio` or the journal for start-of-day equity, to compute day PnL against the daily loss stop.
Report per `desk-risk-limits` section 3.
## Pitfalls
- Querying the API wallet's address. Everything comes back empty and looks like "no positions".
- Assuming `openOrders` shows trigger details; it does not. Use `frontendOpenOrders`.
- Reading `userFills` and forgetting the 2000-item window; use `userFillsByTime` with pagination for reviews.
- Treating `withdrawable` as free margin for new positions; use `accountValue - totalMarginUsed` with headroom, and check the tier.
- Mixing networks: a mainnet address on the testnet endpoint is a different (probably empty) account.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
65/100
Promising
Trust
63/100
Sandbox only
Audit
77/100
Risky
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"design-creative",
"agent-skill"
],
"known_risks": [
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 59 GitHub stars",
"Stars/forks activity: 59 stars, 9 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 77,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 65,
"label": "Promising"
},
"supply": {
"track": "Design and creative production",
"scenario": "Design and creative",
"maintenance": "4d since push",
"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No OpenAgentSkill engagement data yet",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision"
],
"agent_contract": {
"task_input": "Use hyperliquid-account in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 71/100 Manual review",
"Audit: 77/100 Risky",
"Safety: 41/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "galleonlabs-hyperliquid-account (hyperliquid-account)",
"install_command": "npx skills add galleonlabs/hypergrok-trading-desk --skill hyperliquid-account",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "galleonlabs-hyperliquid-account",
"task": "Use hyperliquid-account in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/galleonlabs-hyperliquid-account",
"api": "https://www.openagentskill.com/api/agent/skills/galleonlabs-hyperliquid-account",
"audit": "https://www.openagentskill.com/skills/galleonlabs-hyperliquid-account/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=galleonlabs-hyperliquid-account&task=Use%20hyperliquid-account%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20hyperliquid-account%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20hyperliquid-account%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/galleonlabs-hyperliquid-account/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/galleonlabs-hyperliquid-account"
}
}Listing source
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Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.