agent-guards

The three.ws skill pack: 3D model and avatar generation, building and monetizing agents on the platform, and the wallet/x402 agent economy.

49 skills

Give your coding agent free text-to-3D and rigged, animation-ready avatars. Works out of the box through the keyless three.ws Studio MCP server, with the paid mesh, avatar and auto-rig lanes, scene composition and live avatar embeds when you need them.

4 skills · 4 MCP servers

Pump.fun on-chain trading skills — create coins, swap tokens, manage creator fees, tokenize agents, and drive live avatar reactions from the pump.fun feed.

5 skills

Developer tools for three.ws: scaffold agents, configure MCP servers, and get runnable code examples for paid MCP tools.

3 commands · 1 MCP server

Read-only MCP server for three.ws trending agents and coins, the $THREE holder leaderboard and the activity ticker.

1 skill

MCP server for the AgenC task marketplace and agent registry, with three.ws identity linking and x402 service discovery.

1 skill

Use the JFrog Platform from Claude Code: Artifactory repos and artifacts, security findings and exposures, Catalog package safety and downloads, workflows across the SDLC, and platform administration.

7 skills · 1 MCP server · hooks

End-to-end feature-flag discipline: classify, ship, ramp, retire. Detects stale flags as debt, generates phased rollout plans (ring/linear/log/cohort), and audits every flag for a documented kill switch. 3 stdlib Python tools, 4 references on flag taxonomy + provider trade-offs (LaunchDarkly/GrowthBook/Statsig/Unleash/Flipt/DIY) + rollout strategies + lifecycle. /flag-cleanup slash command. Cross-tool compatible.

1 skill

Local-by-default, no-telemetry hooks block or mask secret leaks in Claude Code and Codex, with opt-in PII filtering and Git/CI backstops.

2 skills

Local-by-default, no-telemetry hooks inspect user prompts, supported tool inputs, outputs, and changed files in every enabled Claude Code or Codex session to block or mask secret leaks. Includes opt-in PII filtering and Git/CI backstops.

2 skills · 2 commands · hooks

v2.1.4 — AMO milestone: autonomous agentic SEO orchestration + multi-project parallelism. 50 skills, 32 schemas, 24 rules, 31 commands, 6 hooks, 5 MCP servers (gsc + dataforseo + ScraplingServer + sf + adstark; higgsfield user-level optional). Per-session project binding (N windows = N projects); an orchestrator that verifies each step's OUTPUT + a Stop-hook denetçi that forces skipped steps; per-session consent gates (push/delete/POST/sitemap/Indexing) + an AI-disclosure quarantine; an independent correctness oracle (the real ≤5% number); portfolio fan-out with an atomic cost/quota ledger + kill-switch; and an O5 fail-closed scheduler (default OFF). Path A, hardened by a 9-agent adversarial review; live-acceptance (D11) passed on a real GSC project. Production-ready: drift-check AMBER (F-16 + F-17 PASS), full pytest suite green (zero regression).

50 skills · 31 commands · 5 MCP servers

Experimentation & growth-engineering team — agents (experimentation-architect, feature-flag-engineer, product-analytics-instrumentation-engineer) for the APPARATUS that lets a team learn fast and ship safely: feature flags + progressive delivery (kill switches, targeting, flag lifecycle/debt), A/B-test plumbing (assignment, exposure logging, SRM checks, sequential-peeking guards, the results read), and trustworthy event instrumentation (a tracking plan, a consistent event schema, identity stitching, a CDP). The engineering of experimentation — statistical VALIDITY (power/MDE, significance) is applied-statistics'. skills, a decision-tree knowledge bank (flag-vs-config + ship-decision trees + a dated 2026 map), best-practices, templates, commands, an advisory hook. Seams: significance -> applied-statistics, hypothesis/outcome -> product-management, rollout -> devops-cicd, pipelines -> data-platform. Requires ravenclaude-core@>=0.7.0.

5 skills · 4 commands · 3 agents · hooks