claude

forta-risk

Skills for the Forta Risk Graph MCP — on-chain dependency concentration, control closure and blast radius for tokenized assets.

1 on GitHubby Forta / OpenZeppelinv0.1.0MITupdated 1 month agodata
/

Plugin forta-risk from marketplace forta-risk in forta-network/forta-risk-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • forta-risk-analysis

    Analyse on-chain dependency and control risk with the Forta Risk Graph. Answers three questions: what could make a vault, wallet, Safe or token lose money (dependency concentration); every contract and admin key that can cause user loss across a whole protocol, down to terminal keys (control closure

View source on GitHub

Similar plugins

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

ruvnet/ruflo 81,589

Automates browser interactions for web testing, form filling, screenshots, and data extraction

12 skills

vercel-labs/agent-browser 50,373

Install the "AAS Data Analytics & Business Intelligence" editorial skill bundle for Claude Code.

16 skills

sickn33/agentic-awesome-skills 49,620

Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.

37 skills · 2 commands · hooks

anthropics/claude-plugins-official 47,076

The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.

1 MCP server

ccxt/ccxt 44,873

llm-finetuning

claudecodex

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents

wshobson/agents 42,461

Maintain forta-risk?

This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.

claude & codex pluginslisted