Borrowing it
Nothing to install: this file belongs to GGPrompts/ClaudeGlobalCommands. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GGPrompts/ClaudeGlobalCommands/main/.claude/commands/execute.mdgit clone --depth 1 https://github.com/GGPrompts/ClaudeGlobalCommandsWrote 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/commands/ggprompts/claudeglobalcommands/execute)<a href="https://agentmods.dev/commands/ggprompts/claudeglobalcommands/execute"><img src="https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/execute.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00656 |
| Opus 5 | $0.00005 | $0.00328 |
| Sonnet 5 | $0.00002 | $0.00131 |
| Haiku 4.5 | $0.00001 | $0.00066 |
Grade A, and why
execute 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 6d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execute Command
A lightweight router that quickly connects you to the right specialist or workflow.
Workflow
Step 1: Get the Task
If the user didn't provide a task, ask:
"What would you like to accomplish?"
Step 2: Analyze and Route
Analyze the task and determine the best destination:
| Task Pattern | Route To |
|---|---|
| Code review, architecture, bugs | /senior-engineer |
| UI, CSS, design, accessibility | /visual-designer |
| Incident, outage, P1/P2 | /incident-commander |
| Deploy, pipeline, CI/CD | /cicd-orchestrator |
| Docs, README, API docs | /documentation |
| Prompt, instruction design | /prompt-engineer |
| Cloud, AWS, Azure, GCP, infra | /cloud-architect |
| Legal, license, compliance, GDPR | /legal-expert |
| Marketing, content, campaign | /marketing-expert |
Step 3: Confirm Route
Use AskUserQuestion:
Question: "I'll route this to [agent]. Sound good?" Header: "Route" Multi-select: false
Options:
- "Yes, proceed" - "Route to recommended agent"
- "Show me options" - "List all available agents to choose from"
- "Just do it directly" - "Handle the task yourself without specialist routing"
Step 4: Execute
If "Yes, proceed"
Invoke the selected agent's workflow with the user's task as context.
If "Show me options"
Display available agents:
## Available Agents
**Engineering:**
- /senior-engineer - Code review, architecture, security
- /visual-designer - UI/UX, CSS, accessibility
**Operations:**
- /incident-commander - Incident response, post-mortems
- /cicd-orchestrator - Deployments, pipelines
**Infrastructure:**
- /cloud-architect - AWS/Azure/GCP, IaC, scaling
**Business:**
- /legal-expert - Licensing, compliance, privacy
- /marketing-expert - Campaigns, content, SEO
**Support:**
- /documentation - Docs, README, API docs
- /prompt-engineer - Prompt design and optimization
Then ask which one to use.
If "Just do it directly"
Handle the task yourself using your general capabilities.
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.
- 6d ago First seen · 105 lines · 11 tokens per session scan A 4b5a2fd18947
execute is a command published in the GitHub repository GGPrompts/ClaudeGlobalCommands (126 stars, last pushed 9mo ago), licensed MIT. It adds 11 tokens to every session and 656 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.