# Send Genlayer Dev Claw Skill to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "genlayer-dev", "name": "Genlayer Dev Claw Skill", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/acastellana/genlayer-dev", "canonicalUrl": "https://clawhub.ai/acastellana/genlayer-dev", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/genlayer-dev", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=genlayer-dev", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "CHANGELOG.md", "README.md", "SKILL.md", "references/deployment.md", "references/equivalence-principles.md", "references/examples.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "genlayer-dev", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-01T16:59:27.020Z", "expiresAt": "2026-05-08T16:59:27.020Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=genlayer-dev", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=genlayer-dev", "contentDisposition": "attachment; filename=\"genlayer-dev-0.1.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "genlayer-dev" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/genlayer-dev" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/genlayer-dev", "downloadUrl": "https://openagent3.xyz/downloads/genlayer-dev", "agentUrl": "https://openagent3.xyz/skills/genlayer-dev/agent", "manifestUrl": "https://openagent3.xyz/skills/genlayer-dev/agent.json", "briefUrl": "https://openagent3.xyz/skills/genlayer-dev/agent.md" } } ``` ## Documentation ### GenLayer Intelligent Contracts GenLayer enables Intelligent Contracts - Python smart contracts that can call LLMs, fetch web data, and handle non-deterministic operations while maintaining blockchain consensus. ### Minimal Contract # v0.1.0 # { "Depends": "py-genlayer:latest" } from genlayer import * class MyContract(gl.Contract): value: str def __init__(self, initial: str): self.value = initial @gl.public.view def get_value(self) -> str: return self.value @gl.public.write def set_value(self, new_value: str) -> None: self.value = new_value ### Contract with LLM # v0.1.0 # { "Depends": "py-genlayer:latest" } from genlayer import * import json class AIContract(gl.Contract): result: str def __init__(self): self.result = "" @gl.public.write def analyze(self, text: str) -> None: prompt = f"Analyze this text and respond with JSON: {text}" def get_analysis(): return gl.nondet.exec_prompt(prompt) # All validators must get the same result self.result = gl.eq_principle.strict_eq(get_analysis) @gl.public.view def get_result(self) -> str: return self.result ### Contract with Web Access # v0.1.0 # { "Depends": "py-genlayer:latest" } from genlayer import * class WebContract(gl.Contract): content: str def __init__(self): self.content = "" @gl.public.write def fetch(self, url: str) -> None: url_copy = url # Capture for closure def get_page(): return gl.nondet.web.render(url_copy, mode="text") self.content = gl.eq_principle.strict_eq(get_page) @gl.public.view def get_content(self) -> str: return self.content ### Contract Structure Version header: # v0.1.0 (required) Dependencies: # { "Depends": "py-genlayer:latest" } Import: from genlayer import * Class: Extend gl.Contract (only ONE per file) State: Class-level typed attributes Constructor: __init__ (not public) Methods: Decorated with @gl.public.view or @gl.public.write ### Method Decorators DecoratorPurposeCan Modify State@gl.public.viewRead-only queriesNo@gl.public.writeState mutationsYes@gl.public.write.payableReceive value + mutateYes ### Storage Types Replace standard Python types with GenVM storage-compatible types: Python TypeGenVM TypeUsageintu32, u64, u256, i32, i64, etc.Sized integersint (unbounded)bigintArbitrary precision (avoid)list[T]DynArray[T]Dynamic arraysdict[K,V]TreeMap[K,V]Ordered mapsstrstrStrings (unchanged)boolboolBooleans (unchanged) ⚠️ int is NOT supported! Always use sized integers. ### Address Type # Creating addresses addr = Address("0x03FB09251eC05ee9Ca36c98644070B89111D4b3F") # Get sender sender = gl.message.sender_address # Conversions hex_str = addr.as_hex # "0x03FB..." bytes_val = addr.as_bytes # bytes ### Custom Data Types from dataclasses import dataclass @allow_storage @dataclass class UserData: name: str balance: u256 active: bool class MyContract(gl.Contract): users: TreeMap[Address, UserData] ### The Problem LLMs and web fetches produce different results across validators. GenLayer solves this with the Equivalence Principle. ### Equivalence Principles 1. Strict Equality (strict_eq) All validators must produce identical results. def get_data(): return gl.nondet.web.render(url, mode="text") result = gl.eq_principle.strict_eq(get_data) Best for: Factual data, boolean results, exact matches. 2. Prompt Comparative (prompt_comparative) LLM compares leader's result against validators' results using criteria. def get_analysis(): return gl.nondet.exec_prompt(prompt) result = gl.eq_principle.prompt_comparative( get_analysis, "The sentiment classification must match" ) Best for: LLM tasks where semantic equivalence matters. 3. Prompt Non-Comparative (prompt_non_comparative) Validators verify the leader's result meets criteria (don't re-execute). result = gl.eq_principle.prompt_non_comparative( lambda: input_data, # What to process task="Summarize the key points", criteria="Summary must be under 100 words and factually accurate" ) Best for: Expensive operations, subjective tasks. 4. Custom Leader/Validator Pattern result = gl.vm.run_nondet( leader=lambda: expensive_computation(), validator=lambda leader_result: verify(leader_result) ) ### Non-Deterministic Functions FunctionPurposegl.nondet.exec_prompt(prompt)Execute LLM promptgl.nondet.web.render(url, mode)Fetch web page (mode="text" or "html") ⚠️ Rules: Must be called inside equivalence principle functions Cannot access storage directly Copy storage data to memory first with gl.storage.copy_to_memory() ### Call Other Contracts # Dynamic typing other = gl.get_contract_at(Address("0x...")) result = other.view().some_method() # Static typing (better IDE support) @gl.contract_interface class TokenInterface: class View: def balance_of(self, owner: Address) -> u256: ... class Write: def transfer(self, to: Address, amount: u256) -> bool: ... token = TokenInterface(Address("0x...")) balance = token.view().balance_of(my_address) ### Emit Messages (Async Calls) other = gl.get_contract_at(addr) other.emit(on='accepted').update_status("active") other.emit(on='finalized').confirm_transaction() ### Deploy Contracts child_addr = gl.deploy_contract(code=contract_code, salt=u256(1)) ### EVM Interop @gl.evm.contract_interface class ERC20: class View: def balance_of(self, owner: Address) -> u256: ... class Write: def transfer(self, to: Address, amount: u256) -> bool: ... token = ERC20(evm_address) balance = token.view().balance_of(addr) token.emit().transfer(recipient, u256(100)) # Messages only on finality ### Setup npm install -g genlayer genlayer init # Download components genlayer up # Start local network ### Deployment # Direct deploy genlayer deploy --contract my_contract.py # With constructor args genlayer deploy --contract my_contract.py --args "Hello" 42 # To testnet genlayer network set testnet-asimov genlayer deploy --contract my_contract.py ### Interaction # Read (view methods) genlayer call --address 0x... --function get_value # Write genlayer write --address 0x... --function set_value --args "new_value" # Get schema genlayer schema --address 0x... # Check transaction genlayer receipt --tx-hash 0x... ### Networks genlayer network # Show current genlayer network list # Available networks genlayer network set localnet # Local dev genlayer network set studionet # Hosted dev genlayer network set testnet-asimov # Testnet ### Prompt Engineering prompt = f""" Analyze this text and classify the sentiment. Text: {text} Respond using ONLY this JSON format: {{"sentiment": "positive" | "negative" | "neutral", "confidence": float}} Output ONLY valid JSON, no other text. """ ### Security: Prompt Injection Restrict inputs: Minimize user-controlled text in prompts Restrict outputs: Define exact output formats Validate: Check parsed results match expected schema Simplify logic: Clear contract flow reduces attack surface ### Error Handling from genlayer import UserError @gl.public.write def safe_operation(self, value: int) -> None: if value <= 0: raise UserError("Value must be positive") # ... proceed ### Memory Management # Copy storage to memory for non-det blocks data_copy = gl.storage.copy_to_memory(self.some_data) def process(): return gl.nondet.exec_prompt(f"Process: {data_copy}") result = gl.eq_principle.strict_eq(process) ### Token with AI Transfer Validation See references/examples.md → LLM ERC20 ### Prediction Market See references/examples.md → Football Prediction Market ### Vector Search / Embeddings See references/examples.md → Log Indexer ### Debugging GenLayer Studio: Use genlayer up for local testing Logs: Filter by transaction hash, debug level Print statements: print() works in contracts (debug only) ### Reference Files references/sdk-api.md - Complete SDK API reference references/equivalence-principles.md - Consensus patterns in depth references/examples.md - Full annotated contract examples (incl. production oracle) references/deployment.md - CLI, networks, deployment workflow references/genvm-internals.md - VM architecture, storage, ABI details ### Links Docs: https://docs.genlayer.com SDK: https://sdk.genlayer.com Studio: https://studio.genlayer.com GitHub: https://github.com/genlayerlabs ## Trust - Source: tencent - Verification: Indexed source record - Publisher: acastellana - Version: 0.1.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-01T16:59:27.020Z - Expires at: 2026-05-08T16:59:27.020Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/genlayer-dev) - [Send to Agent page](https://openagent3.xyz/skills/genlayer-dev/agent) - [JSON manifest](https://openagent3.xyz/skills/genlayer-dev/agent.json) - [Markdown brief](https://openagent3.xyz/skills/genlayer-dev/agent.md) - [Download page](https://openagent3.xyz/downloads/genlayer-dev)