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Agent skill

GenLayer ERC-7710 Connector

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

Specifies how a GenLayer Intelligent Contract decision about an agent's performance becomes an ERC-7710 revocation or policy change, through a relayer or bridge and an EVM controller.

Custom licenceAuto-check passedBackend & APIs

Install GenLayer ERC-7710 Connector

skills CLI
$ npx skills add internet-court/internet-court-skill --skill genlayer-erc7710-connector -a claude-code

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

GitHub CLI
$ gh skill install internet-court/internet-court-skill genlayer-erc7710-connector --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-erc7710-connector .claude/skills/genlayer-erc7710-connector && 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-erc7710-connector
GitHub stars
6.6k
Used in
1 other repo
Token cost
~2.2k tokens
SKILL.md length
805 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 decision about an agent's performance becomes an ERC-7710 revocation or policy change, through a relayer or bridge and an EVM controller.

  • Works in 7 steps: Identify the permission → Identify the GenLayer decision source → Choose the connector mode → …
  • Designing the relayer or bridge between GenLayer and an EVM controller
  • SKILL.md covers Design Rule, Workflow, Connector Modes and Message Schema, plus 6 more sections
  • Reaches skills.genlayer.com

What it does

Use this skill after the mandate, the ERC-7710 policy and the GenLayer Intelligent Contract review flow already exist. It specifies the connector between them: the interface and message schema, the relayer or bridge path, an EVM revocation controller, constraint updates, proof and finality assumptions, and failure handling, so a review of an agent's performance can lead to revocation or policy changes under delegated authority.

It does not teach GenLayer contract deployment; build, deploy, test and CLI work is sent to the official GenLayer skills and documentation. The flow it covers runs from a GenLayer decision to a proof, receipt or finalized result, then through a relayer or bridge to the EVM side, with connector-patterns.md as the pattern reference. A core rule is never to say that GenLayer cancels ERC-7710 without defining the effect path, since GenLayer only produces a decision that an EVM-side controller, account module, caveat enforcer or delegation manager must consume.

The workflow identifies the permission (mandate, delegator, delegate, delegation manager, chain and policy), the GenLayer decision source, the connector mode from a manual demo relay to a trusted relayer or bridge verification, the message, the EVM effect, the safety measures and the tests. Safety covers finality, replay protection, nonces, deadlines, idempotency, an emergency owner revoke and absolute permission expiry.

When your agent uses it

  • Designing the relayer or bridge between GenLayer and an EVM controller
  • Defining the message schema for revoking an agent's delegated authority
  • Working out proof and finality assumptions for cross-chain revocation
  • Planning failure handling when a revocation message cannot be delivered

Example prompts

  • “Design the interface that turns a GenLayer performance review into an ERC-7710 revocation.”
  • “Specify the revocation controller and the message schema for the relayer.”
  • “What failure cases should the bridge handle if a finalized decision never reaches the EVM side?”

Workflow steps

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

  1. Identify the permission
  2. Identify the GenLayer decision source
  3. Choose the connector mode
  4. Define the message
  5. Define the EVM effect
  6. Define safety
  7. Define tests

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 and solidity).

    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 ERC-7710 Connector loads about 2.2k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 805 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

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 805 words (~2,156 tokens).

“Use this skill after the mandate, ERC-7710 policy, and GenLayer Intelligent Contract review flow exist. This skill does not teach GenLayer contract deployment. For GenLayer build, deploy, test, and CLI operations, use the official GenLayer skills at https://skills.genlayer.com/ or the…”

— opening of SKILL.md by internet-court, Custom licence
name
genlayer-erc7710-connector

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in integrations/genlayer-erc7710-connector of internet-court/internet-court-skill.

  • SKILL.md
  • references/connector-patterns.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 ERC-7710 Connector 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 ERC-7710 Connector compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
GenLayer ERC-7710 Connector this skillinternet-court/internet-court-skill6.6k1 repos~2.2kAutomated safety check: PassCustom licence
Solidity Vulnerability Scanneralt-research2/SolidityGuard104—~1.6kAutomated safety check: NotesCustom licence
Solana Token Extensionssolanabr/ai-kit109—~3.5kAutomated safety check: PassMIT
DeFi Protocol Templateswshobson/agents40k11 repos~1.9kAutomated safety check: PassMIT
Ethskillsaustintgriffith/ethskills295—~1.4kAutomated safety check: PassNone
Erc 8004aAAaqwq/AGI-Super-Team1052 repos~1.2kAutomated safety check: PassMIT

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Categories

Questions about GenLayer ERC-7710 Connector

What does GenLayer ERC-7710 Connector do?

Specifies how a GenLayer Intelligent Contract decision about an agent's performance becomes an ERC-7710 revocation or policy change, through a relayer or bridge and an EVM controller. Use this skill after the mandate, the ERC-7710 policy and the GenLayer Intelligent Contract review flow already exist. It specifies the connector between them: the interface and message schema, the relayer or bridge path, an EVM revocation controller, constraint updates, proof and finality assumptions, and failure handling, so a review of an agent's performance can lead to revocation or policy changes under delegated authority.

When should I use GenLayer ERC-7710 Connector?

GenLayer ERC-7710 Connector fits situations like: designing the relayer or bridge between GenLayer and an EVM controller; defining the message schema for revoking an agent's delegated authority; working out proof and finality assumptions for cross-chain revocation; planning failure handling when a revocation message cannot be delivered.

How do I install GenLayer ERC-7710 Connector in Claude Code?

Run `npx skills add internet-court/internet-court-skill --skill genlayer-erc7710-connector -a claude-code`. Or copy the skill folder (integrations/genlayer-erc7710-connector in internet-court/internet-court-skill) into .claude/skills/genlayer-erc7710-connector in your project. Claude Code loads it when a task matches its description.

How do I install GenLayer ERC-7710 Connector in Codex?

Run `npx skills add internet-court/internet-court-skill --skill genlayer-erc7710-connector -a codex`. Or copy the skill folder (integrations/genlayer-erc7710-connector in internet-court/internet-court-skill) into .agents/skills/genlayer-erc7710-connector in your project. Codex loads it when a task matches its description.

Can I use GenLayer ERC-7710 Connector 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-erc7710-connector -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-erc7710-connector, .gemini/skills/genlayer-erc7710-connector, .github/skills/genlayer-erc7710-connector and .opencode/skills/genlayer-erc7710-connector in your project.

What does GenLayer ERC-7710 Connector need to run?

SKILL.md names no scripts, command-line tools or credentials: GenLayer ERC-7710 Connector is instructions for the agent only.

Does GenLayer ERC-7710 Connector 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 ERC-7710 Connector 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 ERC-7710 Connector use?

GenLayer ERC-7710 Connector 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 ERC-7710 Connector use?

About 2.2k tokens (SKILL.md is roughly 8.6k 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 972 tokens, read only when the agent opens those files.

What are the alternatives to GenLayer ERC-7710 Connector?

Skills that share tags, products or a category with GenLayer ERC-7710 Connector: Solidity Vulnerability Scanner (alt-research2/SolidityGuard, 104 stars), Solana Token Extensions (solanabr/ai-kit, 109 stars), DeFi Protocol Templates (wshobson/agents, 40k stars) and Ethskills (austintgriffith/ethskills, 295 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GenLayer ERC-7710 Connector?

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.