agent-radar
claudeOne live line per running subagent above the prompt: time, tool count, what it's doing
Always know what a session costs: live $ / context / rate-limit status line, the cost of every turn, context warnings, and an optional budget that asks before spending more.
Plugin cost-meter from marketplace awesome-claude-mods in Singh-AP/awesome-claude-mods. Commands read from the repo's manifest — today.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
One live line per running subagent above the prompt: time, tool count, what it's doing
Pin one goal for the session: it sits above the prompt with a timer, and Claude is told to stay on it and flag unrelated work instead of drifting.
A hidden git snapshot at the start of every turn; /undo-turn rolls back what Claude did
A seatbelt for YOLO mode: blocks catastrophic shell commands (rm -rf ~, mkfs, dd to a disk, fork bombs) and asks before risky ones (force-push, reset --hard, DROP TABLE, curl | sh), even with permissions bypassed.
Holds risky shell commands and shows what they'd change, with Proceed and Cancel buttons
Failing tests spawn a pixel boss; every fix lands a hit, and zero failures is a KO
Appends two or three short follow-up questions after a substantive answer to help users check key facts, probe the reasoning, and notice missing context
19 skills
Security default for organizations: seated outermost, it keeps the organization's classic hooks, prompt content, settings, tool policy and pinned environment out of reach of the plugins a person installs, and adds no policy of its own; one managed option, allowManagedModsOnly, limits mods to the organization's.
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
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
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