Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
ERCData
Store, verify, and manage AI data on the Ethereum blockchain (Base network) using the ERCData standard. Use when an agent needs to store data fingerprints on-chain, verify data integrity, create audit trails, manage access control for private data, or interact with the ERCData smart contract. Supports public and private storage, EIP-712 verification, snapshots, and batch operations.
skill openclawclawhub Free
Store, verify, and manage AI data on the Ethereum blockchain (Base network) using the ERCData standard. Use when an agent needs to store data fingerprints on-chain, verify data integrity, create audit trails, manage access control for private data, or interact with the ERCData smart contract. Supports public and private storage, EIP-712 verification, snapshots, and batch operations.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- scripts/ercdata-cli.py, references/api.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- 0xReisearch
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
ERCData
Store and verify AI-related data on Base mainnet. Public or private, with cryptographic integrity proofs.
Quick Start
# Store public data uv run {baseDir}/scripts/ercdata-cli.py store \ --type AI_AGENT_MEMORY \ --data "memory hash: abc123" \ --metadata '{"agent":"MyBot","ts":"2026-01-31"}' \ --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT # Store private data (only you + granted addresses can read) uv run {baseDir}/scripts/ercdata-cli.py store \ --type AI_AGENT_MEMORY \ --data "secret memory data" \ --private \ --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT # Read entry uv run {baseDir}/scripts/ercdata-cli.py read --id 1 --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT # Verify entry (EIP-712 signature check) uv run {baseDir}/scripts/ercdata-cli.py verify --id 1 --method eip712 --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT # Grant access to private entry uv run {baseDir}/scripts/ercdata-cli.py grant-access --id 2 --to 0xSomeAddress --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT
Configuration
Set via environment or skill config: ERCDATA_KEY β Private key for signing transactions (required for writes) ERCDATA_CONTRACT β Contract address on Base mainnet ERCDATA_RPC β RPC URL (default: https://mainnet.base.org) Or pass via --key, --contract, --rpc flags.
Commands
CommandWhat it doesstoreStore data on-chain (add --private for access control)readRead a data entry by IDverifyVerify data integrity (eip712 or hash method)grant-accessGrant read access to an address (private entries)revoke-accessRevoke read accessregister-typeRegister a new data type (admin only)snapshotCreate a point-in-time snapshotinfoGet entry info without full data
Privacy Model
Public (default): Anyone can read via getData(). Use for transparency, audit trails. Private (--private): Only the provider, granted addresses, and admin can read. Use for sensitive agent data. Private entries store the same data on-chain but gate getData() access. Note: raw transaction calldata is still visible on-chain explorers. For maximum privacy, encrypt data before storing.
Use Cases for AI Agents
Memory attestation β Hash your MEMORY.md and store it periodically for tamper-proof audit trail Agent identity β Store model fingerprint, system prompt hash, config on-chain Verifiable outputs β Hash agent outputs and store for later verification Agent-to-agent trust β Check another agent's ERCData entries before trusting its data Model provenance β Store model hashes, benchmark scores, architecture metadata
API Reference
See references/api.md for full contract API, roles, events, and limits.
Requirements
Python 3.10+ with web3 and eth-account packages (auto-installed by uv) A funded wallet on Base mainnet (ETH for gas) PROVIDER_ROLE granted by contract admin for storing data VERIFIER_ROLE granted for verification operations
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- references/api.md
- scripts/ercdata-cli.py