Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add GoogilyBoogily/googilyboogily-claude-power-tools --skill agent-creategit clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-toolsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/agent-create)<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/agent-create"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/agent-create/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/agent-create"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/agent-create.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.02147 |
| Opus 5 | $0.00022 | $0.01073 |
| Sonnet 5 | $0.00009 | $0.00429 |
| Haiku 4.5 | $0.00004 | $0.00215 |
Grade A, and why
agent-create scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Creation
Author a new Claude Code agent/subagent through domain expert principles, routing mesh analysis, and official documentation consultation. Produces a complete agent .md file with proper frontmatter, routing mesh, and domain expertise encoding.
Input
$ARGUMENTS — an agent name or domain description, and optionally a location flag:
--project— create in.claude/agents/(shared with team)--user— create in~/.claude/agents/(personal, all projects)--plugin <name>— create in a plugin'sagents/directory
Parse Arguments
Extract from $ARGUMENTS:
- Name/Description: The non-flag text
- Location Flag:
--project,--user, or--plugin <name>
If no location flag is provided, ask the user in Phase 1.
Source Integrity Rules
Every design decision must be traceable to user answers, codebase research, or official documentation.
Process
Phase 1: Domain Identification
-
If only a name was provided, ask what domain this agent covers.
-
Identify the domain:
- Domain name: The expertise area (e.g., "typescript", "testing", "database-performance")
- Sub-domain (optional): Specific area within a broader domain (e.g., "typescript-type" under "typescript")
- Hierarchical placement: Is this a broad domain expert or a sub-domain specialist?
-
Apply the Domain Expert Validation:
- Coverage test: Can the user identify 5-15 related problems this agent handles? If fewer than 5, suggest a skill instead. If more than 15, suggest splitting into broad + specialist pair.
- Resume test: Would someone put "[domain] Expert" on their resume? If no, the scope is too narrow.
- Value test: Would a developer pay $5/month for this expertise? If no, the knowledge may be too trivial to warrant an agent.
-
If no location flag provided, ask using AskUserQuestion:
- Project level (
.claude/agents/) — shared with team - User level (
~/.claude/agents/) — personal - Plugin (
plugins/<name>/agents/) — distributable
- Project level (
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 248 lines · 43 tokens per session scan A d439ec689c99
agent-create is a skill published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 2,147 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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