Agent skill

GenLayer Agent Supervision Adapter

by internet-court in internet-court/internet-court-skill

Specifies how a GenLayer Intelligent Contract should supervise an AI agent, with review rubrics, evidence schemas and continue, warn, constrain or revoke decisions.

Custom licenceAuto-check passedAI & LLM Engineering

Install GenLayer Agent Supervision Adapter

skills CLI
$ npx skills add internet-court/internet-court-skill --skill genlayer-intelligent-contracts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install internet-court/internet-court-skill genlayer-intelligent-contracts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/genlayer-intelligent-contracts .claude/skills/genlayer-intelligent-contracts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
genlayer-intelligent-contracts
GitHub stars
6.6k
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
589 words
Files
2 (incl. references)
Skills in repo
80
Repo updated
First seen
Licence
Custom licence

At a glance

Specifies how a GenLayer Intelligent Contract should supervise an AI agent, with review rubrics, evidence schemas and continue, warn, constrain or revoke decisions.

  • Works in 6 steps: Extract the review target → Draft a rubric → Define evidence schema → …
  • Defining how an AI agent's performance should be reviewed on-chain
  • SKILL.md covers Core Model, Workflow, Review Input and Decision Output, plus 4 more sections
  • Reaches skills.genlayer.com

What it does

This adapter is for cases where GenLayer acts as the judgment layer for an agent's behavior. The supervisor contract should review the user's mandate, the agent's action log, transaction receipts, rationales, artifacts and outputs, then decide whether the agent's authority continues, is warned, constrained or revoked. It is not the Intelligent Oracle skill, which handles binary public web evidence markets, and it is not the deployment skill: writing, testing and deploying contracts is left to the official GenLayer skills.

A six-step workflow extracts the review target, drafts a rubric covering relevance, mandate compliance, transaction safety, budget discipline, artifact quality, evidence completeness and user value, defines the evidence schema and the decisions, and defines the effect path. For ERC-7710 it loads a separate connector skill. It warns that a GenLayer decision does not revoke an EVM delegation unless a cross-chain message, relayer, controller or account module consumes it, and it adds an audit record. A default review input type is shown, and the excerpt is cut off after it.

When your agent uses it

  • Defining how an AI agent's performance should be reviewed on-chain
  • Writing a rubric and evidence schema for agent mandate compliance
  • Deciding how a revoke or constrain decision reaches an ERC-7710 delegation
  • Separating supervision design from GenLayer contract implementation

Example prompts

  • “Draft a review rubric for a trading agent that must stay inside its budget mandate.”
  • “Define the evidence schema and decision outputs for a GenLayer supervisor contract.”
  • “How would a revoke decision from GenLayer reach the delegation manager for ERC-7710?”
  • “List what the supervisor contract needs from the agent's action log and receipts.”

Requirements

  • The official GenLayer skills, for writing, testing and deploying contracts

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Extract the review target
  2. Draft a rubric
  3. Define evidence schema
  4. Define decisions
  5. Define effect path
  6. Add auditability

What it can do on your machine

Read from SKILL.md and the folder at commit fa89195. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • skills.genlayer.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

GenLayer Agent Supervision Adapter loads about 1.8k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 589 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 589 words (~1,764 tokens).

“Use this adapter when GenLayer is the judgment layer for agent behavior. It should define what the supervisor contract must review and emit: the user's mandate, the agent's action log, transaction receipts, rationales, artifacts, outputs, and the decision about whether…”

— opening of SKILL.md by internet-court, Custom licence
name
genlayer-intelligent-contracts

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in integrations/genlayer-intelligent-contracts of internet-court/internet-court-skill.

  • SKILL.md
  • references/agent-supervisor-contract.md

Open the folder on GitHubat commit fa89195

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in internet-court/internet-court-skill, which our catalogue first saw on October 7, 2026.

Compare with similar skills

GenLayer Agent Supervision Adapter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

GenLayer Agent Supervision Adapter compared with similar skills
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Solana Token Extensionssolanabr/ai-kit109—~3.5kAutomated safety check: PassMIT

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Questions about GenLayer Agent Supervision Adapter

What does GenLayer Agent Supervision Adapter do?

Specifies how a GenLayer Intelligent Contract should supervise an AI agent, with review rubrics, evidence schemas and continue, warn, constrain or revoke decisions. This adapter is for cases where GenLayer acts as the judgment layer for an agent's behavior. The supervisor contract should review the user's mandate, the agent's action log, transaction receipts, rationales, artifacts and outputs, then decide whether the agent's authority continues, is warned, constrained or revoked.

When should I use GenLayer Agent Supervision Adapter?

GenLayer Agent Supervision Adapter fits situations like: defining how an AI agent's performance should be reviewed on-chain; writing a rubric and evidence schema for agent mandate compliance; deciding how a revoke or constrain decision reaches an ERC-7710 delegation; separating supervision design from GenLayer contract implementation.

How do I install GenLayer Agent Supervision Adapter in Claude Code?

Run `npx skills add internet-court/internet-court-skill --skill genlayer-intelligent-contracts -a claude-code`. Or copy the skill folder (integrations/genlayer-intelligent-contracts in internet-court/internet-court-skill) into .claude/skills/genlayer-intelligent-contracts in your project. Claude Code loads it when a task matches its description.

How do I install GenLayer Agent Supervision Adapter in Codex?

Run `npx skills add internet-court/internet-court-skill --skill genlayer-intelligent-contracts -a codex`. Or copy the skill folder (integrations/genlayer-intelligent-contracts in internet-court/internet-court-skill) into .agents/skills/genlayer-intelligent-contracts in your project. Codex loads it when a task matches its description.

Can I use GenLayer Agent Supervision Adapter in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add internet-court/internet-court-skill --skill genlayer-intelligent-contracts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/genlayer-intelligent-contracts, .gemini/skills/genlayer-intelligent-contracts, .github/skills/genlayer-intelligent-contracts and .opencode/skills/genlayer-intelligent-contracts in your project.

What does GenLayer Agent Supervision Adapter need to run?

SKILL.md names no scripts, command-line tools or credentials: GenLayer Agent Supervision Adapter is instructions for the agent only. Our summary lists: The official GenLayer skills, for writing, testing and deploying contracts.

Does GenLayer Agent Supervision Adapter access the network?

SKILL.md names 1 domain. In commands or code: skills.genlayer.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is GenLayer Agent Supervision Adapter safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does GenLayer Agent Supervision Adapter use?

GenLayer Agent Supervision Adapter has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does GenLayer Agent Supervision Adapter use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 533 tokens, read only when the agent opens those files.

What are the alternatives to GenLayer Agent Supervision Adapter?

Skills that share tags, products or a category with GenLayer Agent Supervision Adapter: Kibibot (LeoYeAI/openclaw-master-skills, 2.2k stars), Blockchain Explorer (Nethereum/Nethereum, 2.3k stars), OpenMed Model Card Writer (maziyarpanahi/openmed, 5.5k stars) and China AI Compliance Audit (jnMetaCode/shellward, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GenLayer Agent Supervision Adapter?

internet-court (a GitHub organization) maintains it in internet-court/internet-court-skill, which has 6,551 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on August 19, 2026.

Source: internet-court/internet-court-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.