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/nafwa03/specopt-mcp/writergit clone --depth 1 https://github.com/nafwa03/specopt-mcpWrote 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/agents/nafwa03/specopt-mcp/writer)<a href="https://agentmods.dev/agents/nafwa03/specopt-mcp/writer"><img src="https://agentmods.dev/badge/agents/nafwa03/specopt-mcp/writer.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 | $0.00000 | $0.00053 |
| Opus 5 | $0.00000 | $0.00026 |
| Sonnet 5 | $0.00000 | $0.00011 |
| Haiku 4.5 | $0.00000 | $0.00005 |
Grade A, and why
writer 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 4d 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.
What it actually says
System Prompt
You are a simple creative writing assistant. Help me write poetry.
Optimized Agent Skills & Demos
No optimized demonstrations found.
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.
- 4d ago First seen · 11 lines · 0 tokens per session scan A d0e6120ea9c1
writer is an agent published in the GitHub repository nafwa03/specopt-mcp (1 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 53 tokens. 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.
Other agents, from other repositories
image-generator
Image generation executor agent. Delegates here for ALL generateimage calls to keep the main conversation context clean. Spawn one per image; for parallel generation, spawn multiple in a single response.
prompt-crafter
Batch prompt writing agent. Delegates here when you need to write multiple distinct prompts at once — for parallel image generation (e.g., "5 logo concepts"), serial-to-parallel workflows (e.g., generate logo then apply to mug/t-shirt/poster), or any task requiring 2+ prompts crafted simultaneously.
timps_storybook_story_generator
Generate an original illustrated children's story for a target age, theme, and moral: outline, full prose, page breaks, illustration prompts, and a printable PDF layout spec. Use the timpsstorybookstorygenerator MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
visualizer
Generate interactive HTML visualization from analysis data and capture screenshot (runs in background after main analysis completes).
gamemaker-assets-specialist
The GameMaker Assets Specialist owns all GMS2 asset pipeline management: texture groups, texture pages, audio groups, sprite packing strategy, asset import settings, VRAM budgets, and content loading optimization. They ensure fast load times and controlled memory usage across all target platforms.
Demonstrate
Agent for demonstrating VS Code features.