debug-message
Skill76 starsChanged 20 days agoApache-2.0View on GitHub
Fetch the explorer page to get origin/destination chains and basic status: Key info to extract: Use the gcloud CLI to find logs related to this message in the omniscient relayer: Look for the message in PendingMessage entries. Common statuses: Extract status with: If message is slow/stuck, search for gas payment evaluation logs: Key fields in jsonPayload.fields: If gasamount < gaslimit, message fails with "Repreparing message: Gas payment requirement not met" and retries every ~3 minutes. If status is ErrorEstimatingGas, the…
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 2 are distinctive, and 9 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 45
Use the gcloud CLI to find logs related to this message in the omniscient relayer:
- Very specific: line 53
Look for the message in PendingMessage entries.
- Distinctive: line 70
If message is slow/stuck, search for gas payment evaluation logs:
- Very specific: line 83
If gas_amount < gas_limit, message fails with "Repreparing message: Gas payment requirement not met" and retries every ~3 minutes.
- Very specific: line 87
If status is ErrorEstimatingGas, the actual revert reason is in jsonPayload.fields.error.
- Very specific: line 152
If CouldNotFetchMetadata persists > 5 minutes:
- Very specific: line 154
Check validator status using the debug-validator-checkpoint-inconsistency skill
- Very specific: line 163
Check policy field for subsidy ratio (e.g., 1/2 = relayer covers 50%)
- Very specific: line 168
When you see hex revert data like 0x4e487b71...:
- Very specific: line 193
Check @hyperlane-xyz/registry or chain metadata for full mapping.
- Very specific: line 202
Search error logs: execution reverted: panic: arithmetic underflow or overflow (0x11)
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Debug Hyperlane Message Skill
When to Use
- User provides a message ID (e.g.,
0xa454...) or explorer URL - Investigating why a message is stuck or not delivered
- Debugging gas estimation failures
- Understanding message processing status
Input Parameters
| Parameter | Required | Example | Description |
message_id | Yes | 0xa454559c... | The 66-character hex message ID |
explorer_url | Optional | https://explorer.hyperlane.xyz/message/0x... | Can extract message_id from URL |
Debugging Workflow
Step 1: Get Basic Message Details from Explorer
Fetch the explorer page to get origin/destination chains and basic status:
WebFetch: https://explorer.hyperlane.xyz/message/[MESSAGE_ID]
Prompt: Extract message status, origin chain, destination chain, sender, recipient, timestamp, delivery statusKey info to extract:
- Origin chain and domain ID
- Destination chain and domain ID
- Is it delivered? (if yes, no debugging needed)
- Timestamp (how old is it?)
Step 2: Search Relayer Logs for the Message
Use the gcloud CLI to find logs related to this message in the omniscient relayer:
gcloud logging read 'resource.type="k8s_container" AND resource.labels.project_id="abacus-labs-dev" AND resource.labels.location="us-east1-c" AND resource.labels.cluster_name="hyperlane-mainnet" AND resource.labels.namespace_name="mainnet3" AND labels.k8s-pod/app_kubernetes_io/component="relayer" AND labels.k8s-pod/app_kubernetes_io/instance="omniscient-relayer" AND labels.k8s-pod/app_kubernetes_io/name="hyperlane-agent" AND "[MESSAGE_ID]"' --project=abacus-labs-dev --limit=50 --format=json --freshness=1dStep 3: Identify the Message Status
Look for the message in PendingMessage entries. Common statuses:
| Status | Meaning | Priority |
Retry(ErrorEstimatingGas) | Gas estimation failing - contract revert | HIGH |
Retry(GasPaymentRequirementNotMet) | Insufficient gas payment | MEDIUM |
Retry(CouldNotFetchMetadata) | Validator signatures unavailable | LOW (check after 5+ min) |
FirstPrepareAttempt | Still processing, not stuck yet | LOW |
Extract status with:
grep -o "message_id: [MESSAGE_ID][^}]*" [log_output] | sort -uStep 4: Check for Gas Payment Issues
If message is slow/stuck, search for gas payment evaluation logs:
gcloud logging read '[BASE_RELAYER_QUERY] AND "[MESSAGE_ID]" AND jsonPayload.fields.message:"Evaluating if message meets gas payment requirement"' --project=abacus-labs-dev --limit=5 --format=json --freshness=7dKey fields in jsonPayload.fields:
current_payment.gas_amount- gas units paid for by sendertx_cost_estimate.gas_limit- gas units needed for deliverycurrent_expenditure.gas_used- gas already spent on retriespolicy- subsidy policy (e.g.,fractional_numerator: 1, fractional_denominator: 2= 50% subsidy)
If gas_amount < gas_limit, message fails with "Repreparing message: Gas payment requirement not met" and retries every ~3 minutes.
Step 5: For Gas Estimation Errors - Get the Revert Reason
If status is ErrorEstimatingGas, the actual revert reason is in jsonPayload.fields.error. Use this query and extraction:
# Query logs with error field
gcloud logging read 'resource.type="k8s_container" AND resource.labels.project_id="abacus-labs-dev" AND resource.labels.location="us-east1-c" AND resource.labels.cluster_name="hyperlane-mainnet" AND resource.labels.namespace_name="mainnet3" AND labels.k8s-pod/app_kubernetes_io/component="relayer" AND labels.k8s-pod/app_kubernetes_io/instance="omniscient-relayer" AND labels.k8s-pod/app_kubernetes_io/name="hyperlane-agent" AND "[MESSAGE_ID]" AND jsonPayload.fields.error:*' --project=abacus-labs-dev --limit=5 --format=json --freshness=1d 2>/dev/null | grep -o '"error": "[^"]*"' | head -1The error field contains the full revert reason, e.g.:
"error": "ContractError(...JsonRpcError { code: 3, message: \"execution reverted: panic: arithmetic underflow or overflow (0x11)\", data: Some(...) }...)"Quick extraction - pipe to extract just the revert message:
... | grep -oP 'execution reverted: [^"\\]+' | head -1Common revert patterns:
execution reverted: panic: arithmetic underflow or overflow (0x11)- Contract math errorexecution reverted: [CUSTOM_ERROR]- Custom contract revert (decode withcast 4byte)execution revertedwith hex data - Decode selector withcast 4byte 0x[first4bytes]
Step 6: Extract Message Details
From the logs, identify:
origin: Source chaindestination: Destination chain (or domain ID like4114for Citrea)sender: Origin contract addressrecipient: Destination contract address (the warp route or recipient)nonce: Message sequence number
Example log format:
HyperlaneMessage { id: 0x..., nonce: 162898, origin: ethereum, sender: 0x..., destination: 4114, recipient: 0x... }Step 7: Report Findings
Summarize:
- Message ID: Full ID
- Route: Origin -> Destination (e.g., Ethereum -> Citrea)
- Status: Current processing status
- Root Cause: The actual error (e.g., contract revert reason)
- Retry Count: How many times it's been attempted
- Recommendation: What needs to happen (e.g., fix recipient contract, wait for validators)
Common Root Causes
Gas Estimation Errors
| Error | Meaning | Resolution |
panic: arithmetic underflow or overflow (0x11) | Contract math error | Bug in recipient contract |
IXERC20_NotHighEnoughLimits() | Bridge rate limit hit | Wait for limit reset |
InsufficientBalance | Not enough tokens | Fund the contract |
Unauthorized | Access control failure | Check permissions |
Metadata/Validator Issues
If CouldNotFetchMetadata persists > 5 minutes:
- Check validator status using the
debug-validator-checkpoint-inconsistencyskill - Identify if validators are behind on the origin chain
Gas Payment Issues
If GasPaymentRequirementNotMet:
- Compare
current_payment.gas_amountvstx_cost_estimate.gas_limit - Message will auto-retry every ~3 min until gas prices drop or subsidy kicks in
- Check
policyfield for subsidy ratio (e.g., 1/2 = relayer covers 50%) - Resolution: wait for gas prices to drop, or manually subsidize via IGP top-up
Decoding Revert Selectors
When you see hex revert data like 0x4e487b71...:
cast 4byte 0x4e487b71
# Returns: Panic(uint256)Common panic codes:
0x11- Arithmetic overflow/underflow0x12- Division by zero0x21- Invalid enum value0x31- Pop on empty array0x32- Array out of bounds
Domain ID Reference
Common domain IDs (destination field in logs):
1- Ethereum42161- Arbitrum10- Optimism137- Polygon4114- Citrea
Check @hyperlane-xyz/registry or chain metadata for full mapping.
Example Investigation
User asks: "Why isn't message 0xa454... being processed?"
- Fetch explorer: Origin=Ethereum, Dest=Citrea, not delivered
- Query relayer logs for
0xa454... - Find status:
Retry(ErrorEstimatingGas) - Search error logs:
execution reverted: panic: arithmetic underflow or overflow (0x11) - Report: "Message from Ethereum to Citrea is failing because the recipient contract (0xbd39...) on Citrea is reverting with an arithmetic overflow error. This is a bug in the destination contract that needs to be fixed by the contract owner."
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- add-registry-changesetSkill
- build-docker-imageSkill
- classify-onchain-ownerSkill
- code-reviewSkill
- debug-rpc-providerSkill
- debug-validator-checkpoint-inconsistencySkill
- denylist-stuck-messagesSkill
- fetch-linear-ticketSkill
- fetch-safe-tx-batchSkill
- find-docker-imageSkill
- fix-merkle-root-mismatchSkill
- fix-rpc-urlsSkill
- gcp-logsSkill
- hyperlane-message-utilsSkill
- hyperlane-utilsSkill
- inline-pr-commentsSkill
- investigate-merkle-root-mismatchSkill
- investigate-stuck-messagesSkill
- registry-yaml-sort-policySkill
- security-reviewSkill
- self-relay-hyperlane-messageSkill
- set-moonpay-standing-quotesSkill
- start-http-registrySkill
- stop-http-registrySkill
- svm-warp-alt-manageSkill
- svm-warp-program-upgradeSkill
- tob-reviewSkill
- verify-warp-contractsSkill
- warp-balancesSkill
- warp-deploy-fund-deployerSkill
- warp-deploy-init-routeSkill
- warp-deploy-nexusSkill
- warp-deploy-register-routeSkill
- warp-deploy-select-keysSkill
- warp-deploy-send-testSkill
- warp-deploy-update-ownersSkill
- warp-deploy-validate-ownersSkill
- warp-forkSkill
- warp-key-value-expansionSkill
- warp-manage-offchain-quotesSkill
- warp-route-checkSkill
- warp-run-logSkill
- warp-simulate-svm-txsSkill
- warp-update-extendSkill
- warp-update-proposeSkill
- warp-update-resolve-artifactsSkill
- warp-updateSkill
- warp-verify-onchain-configSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

