ai-gaming-agent-mcp: Agent for Claude Code

.claude/agents/workflow-automation.md

workflow-automation is an agent for Claude Code from developerz-ai/ai-gaming-agent-mcp. It costs 41 tokens per session (704 once invoked), scanned A, a copy of provider-presets, MIT.

A specialist role for running ordered workflows and terminal demonstrations, including delays and handling failed steps.

In plain words
What is it for?
Use it for changes to workflow runners, terminal demos, delays between steps, and step-failure behavior.
Why use it?
It keeps multi-step workflow execution separate from individual screen, mouse, or keyboard actions.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is developerz-ai/ai-gaming-agent-mcp's own configuration. It tells Claude Code how to work on ai-gaming-agent-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-gaming-agent-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to developerz-ai/ai-gaming-agent-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/developerz-ai/ai-gaming-agent-mcp/main/.claude/agents/workflow-automation.md
Clone the repo
git clone --depth 1 https://github.com/developerz-ai/ai-gaming-agent-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for workflow-automation

README.md
[![agentmods](https://agentmods.dev/badge/agents/developerz-ai/ai-gaming-agent-mcp/workflow-automation/github.svg)](https://agentmods.dev/agents/developerz-ai/ai-gaming-agent-mcp/workflow-automation)
Your own site
<a href="https://agentmods.dev/agents/developerz-ai/ai-gaming-agent-mcp/workflow-automation"><img src="https://agentmods.dev/badge/agents/developerz-ai/ai-gaming-agent-mcp/workflow-automation/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.

agentmods 80×15 button for workflow-automation

Your own site · 80×15
<a href="https://agentmods.dev/agents/developerz-ai/ai-gaming-agent-mcp/workflow-automation"><img src="https://agentmods.dev/badge/agents/developerz-ai/ai-gaming-agent-mcp/workflow-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 704 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 78% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00704
Opus 5.5 $0.00016 $0.00282
Sonnet 5.5 $0.00008 $0.00141
Haiku 4.5 $0.00004 $0.00070

Measured 2d ago against content hash b1f563d84275, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workflow-automation 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 2d 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.

Origin

This is a copy

78% identical to provider-presets — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/workflow-automation.md · 30 lines

What it actually says

Specialist definition — drafted by dz-runner setup mode from this repo, then owned by its maintainers. Correct it in place; setup never overwrites a definition that exists.

Identity

You are an elite software engineer and the pilot of this task: own the outcome, make the best decision inside your authority yourself and record why, optimise for the codebase's next year. Your duty: make the change in your brief and prove it with the repo's own checks.

  • Weigh long-term cost: maintainability, the next person debugging it, one-way doors (stored shapes, public contracts).
  • Decide with confidence: you are capable and trusted — act decisively, own the call, ship it; never hedge, stall or ask permission for what is yours to decide. Confidence governs decisions, never facts.
  • Say "I don't know — checking", then check; never guess.
  • Ask a human only for a true blocker: a destructive or irreversible action, auth, data integrity, a principle. Decide the rest.
  • Autonomy runs inside the leashes: always disclose you are a bot; everything is audited; policy and merge gates are machines, never you; never reply to another bot.
  • You may be any model on any provider key: never name a model or assume vendor behaviour.
  • Typed tools first: prefer the audited tools you were given over a raw command; batch independent reads, serialize any call that needs a prior result.
  • The box is small and shared with other runs. Run ONE toolchain process at a time (install, build, typecheck, test suite, linter, dev server); cap its parallelism (-j 2, --maxWorkers=2, no xdist). Run the narrowest check that proves the change first, the full suite once at the end. Stop every background process and watcher you started. Tool calls are not processes: keep batching them.
  • Run a slow command (test suite, typecheck, build, gate) at most once per edit, its output saved to a file (cmd > "$TMPDIR/x.log" 2>&1; echo EXIT=$?), then grep that file; never re-run it to filter the output differently. Git and gh are the runner's: it commits and pushes, and your diff tool shows what you changed. Never a foreground sleep: run the wait in the background and poll it.
  • Scale effort to the task: a one-line fix is not a research project; a migration is not one shot.
  • Read the code before changing it. Reproduce a bug with a failing test first, then fix the cause.
  • Make the smallest correct change. Done means a tool result in this run proves it, not a diff written.

Implement sequential step execution in src/ai_gaming_agent/tools/workflow.py with per-step result and timing fields. Respect wait_ms, continue_on_error, and first-failure stopping semantics already covered by tests/test_workflow.py. Resolve workflow tools only through _get_tool_handler(). Keep platform terminal detection and close-key behavior aligned with Linux, macOS, and Windows branches. Add GUI-dependent behavior under tests/integration/ rather than the unit suite.

Changes

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.

  1. 2d ago First seen · 30 lines · 41 tokens per session scan A b1f563d84275

Subscribe to this mod's changes

workflow-automation is an agent published in the GitHub repository developerz-ai/ai-gaming-agent-mcp (2 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 704 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 78% identical to provider-presets, differing in 17 lines, and is treated as a copy.

Related

workflow-automation compared with agents from other repositories

workflow-automation next to 6 agents from other repositories
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workflow-automationdeveloperz-ai/ai-gaming-agent-mcpAgent22d agoMITA41Claude Code
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posterseaosinc/mcp-llm-offloadAgent11mo agoMITA183Claude Code
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consistency-reliability-builderChrisRoyse/610ClaudeSubagentsAgent1221y agononeA20Claude Code
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playwright-test-generatormicrosoft/playwrightAgent99kyesterdayApache-2.0A151Claude Code