Use after /plugin install sponsio-claude-code to wire the runtime end-to-end. The plugin install only registers hooks + skills; the contract library and per-environment overrides are configured here. Bootstraps the per-plugin contract library tree at /.sponsio/plugins/, installs bundled starter libraries for popular…
Install, observe, tune, and enforce Sponsio: a runtime contract layer for LLM agents that blocks unsafe tool calls and scores output quality against declared rules. Use when the user wants to set up / add / install Sponsio, add guardrails or runtime safety to an LLM agent, generate or refine a sponsio.yaml, audit tool…
Install, observe, tune, and enforce Sponsio: a runtime contract layer for LLM agents that blocks unsafe tool calls and scores output quality against declared rules. Use when the user wants to set up / add / install Sponsio, add guardrails or runtime safety to an LLM agent, generate or refine a sponsio.yaml, audit tool…
You are an expert in the Agent Sandbox Taxonomy (AST), a framework for evaluating and comparing AI agent sandbox security. This skill enables two capabilities.
Use ProofFlow from Codex for Agent Work Ledger and maintainer workflows: wrap complex AI coding tasks in a Ledger, review diffs, export Proof Packets, triage issue text, and keep claims evidence-backed.
Audit a file, directory, web page, or piece of content for prompt-injection attempts. Use when reviewing untrusted content (scraped pages, downloaded files, third-party repos, MCP server tool descriptions, email archives, search-result corpora, RAG documents, code-review diffs) for hidden or visible attempts to…
Use Afu Brain as a MASL butler brain before executing OpenClaw or other agent tools. It turns private owner memory and human intent into safe decisions, skill routing, and approval gates.
Safety, privacy, cost management, and frank advice for building always-on AI agents with episodic memory. Covers data hygiene, privacy risk surfaces, runaway cost prevention, scope creep, psychological effects of persistent AI companions, and responsible deployment patterns. This is the skill that tells you what can…
Audit bloated agent-instruction files (CLAUDE.md, AGENTS.md, and their local/user-level variants) and rewrite them lean, or author a new one from scratch following the 200-line "recipe book" principle. Use this skill whenever the user mentions CLAUDE.md, AGENTS.md, agent instruction file, project memory file, context…
Persistent memory across Cowork sessions. Use this skill at the START of every session to recall what happened before, and throughout any session to save important context — decisions, file changes, insights, errors, tool usage. Trigger whenever: the user says "remember this", "what did we do last time", "save this"…
Run a Google Cloud CLI (gcloud) health check — verify installation, authentication, active project, recommended region, enabled APIs (run, cloudbuild, artifactregistry, secretmanager, cloudresourcemanager, iam, plus gmail/calendar/monitoring/logging), API access token, billing, IAM bindings, service accounts, and…
Behavioral trust grades (A–F) for MCP servers. Use when an agent needs to check whether an MCP server is safe before using it, verify an onchain attestation before trusting or paying a server, look up a server's published grade, get a project graded, or understand why a server received a grade. Polygraph connects to…
Periodically merge the memory index and long-tier memory files — deduplicate, resolve contradictions to the current truth, absolutize dates — and propose the result for your confirmation before any write. Use when MEMORY.md grows large (120+ lines) or long-tier memories accumulate duplicates, contradictions, or stale…
Save gate for persistent memories — confirm tier (long/short) and expiry with the user before writing, so hallucinated or transient facts never enter long-term memory. Use whenever saving a memory file, and when the expiry sweep reports archived memories.
An AI and MCP security scanner aligned with the OWASP MCP Top 10, a list of common risks for tool-connected AI systems. It checks for issues such as prompt injection, command injection, poisoned tools, leaked secrets, unsafe permissions, supply-chain attacks, SSRF, and banned Chinese-language content.
Use Airlock before installing or executing packages, running risky shell commands, committing generated code, or declaring an agent task complete. Airlock detects hallucinated/slopsquatted dependencies, destructive commands, leaked secrets, and suspicious test changes.