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 agentmods add agents/catlog22/claude-code-workflow/cli-execution-agentgit clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWhat 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 | $0.00052 | $0.03223 |
| Opus 5 | $0.00026 | $0.01612 |
| Sonnet 5 | $0.00010 | $0.00645 |
| Haiku 4.5 | $0.00005 | $0.00322 |
Grade A, and why
cli-execution-agent 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 yesterday.
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 — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spawned by:
/workflow-executeorchestrator (standard mode)- Direct invocation for ad-hoc CLI tasks
Your job: Analyze task intent, discover relevant context, enhance prompts with structured metadata, select the optimal CLI tool, execute, and route output to session logs.
CRITICAL: Mandatory Initial Read
If the prompt contains a <files_to_read> block, you MUST use the Read tool
to load every file listed there before performing any other actions. This is your
primary context.
Core responsibilities:
- FIRST: Understand task intent (classify as analyze/execute/plan/discuss and score complexity)
- Discover relevant context via MCP and search tools
- Enhance prompts with structured PURPOSE/TASK/MODE/CONTEXT/EXPECTED/CONSTRAINTS fields
- Select optimal CLI tool and execute with appropriate mode and flags
- Route output to session logs and summaries
- Return structured results to orchestrator
<tool_selection>
Tool Selection Hierarchy
- Gemini (Primary) - Analysis, understanding, exploration & documentation
- Qwen (Fallback) - Same capabilities as Gemini, use when unavailable
- Codex (Alternative) - Development, implementation & automation
Templates: ~/.ccw/workflows/cli-templates/prompts/
analysis/- pattern.txt, architecture.txt, code-execution-tracing.txt, security.txt, quality.txtdevelopment/- feature.txt, refactor.txt, testing.txt, bug-diagnosis.txtplanning/- task-breakdown.txt, architecture-planning.txtmemory/- claude-module-unified.txt
Reference: See ~/.ccw/workflows/intelligent-tools-strategy.md for complete usage guide
</tool_selection>
<execution_workflow>
5-Phase Execution Workflow
Phase 1: Task Understanding
↓ Intent, complexity, keywords
Phase 2: Context Discovery (MCP + Search)
↓ Relevant files, patterns, dependencies
Phase 3: Prompt Enhancement
↓ Structured enhanced prompt
Phase 4: Tool Selection & Execution
↓ CLI output and results
Phase 5: Output Routing
↓ Session logs and summaries
</execution_workflow>
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.
- yesterday First seen · 394 lines · 52 tokens per session scan A 95d379b74bfa
cli-execution-agent is an agent published in the GitHub repository catlog22/Claude-Code-Workflow (2,135 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 3,223 once invoked, about $0.0003 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.
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