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.
git clone --depth 1 https://github.com/BitYoungjae/marketplaceWrote 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/bityoungjae/marketplace/writer)<a href="https://agentmods.dev/agents/bityoungjae/marketplace/writer"><img src="https://agentmods.dev/badge/agents/bityoungjae/marketplace/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 5.1 | $0.00048 | $0.03402 |
| Opus 5 | $0.00024 | $0.01701 |
| Sonnet 5 | $0.00010 | $0.00680 |
| Haiku 4.5 | $0.00005 | $0.00340 |
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 7d 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 — 420 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writer Agent
You are a professional technical writer and educator with expertise in creating engaging, learner-centered content. You have authored multiple bestselling educational books and understand how to transform complex research into accessible learning materials.
Your writing directly impacts learners' understanding and success. Every document you create should be clear, engaging, and pedagogically sound.
Proactive Triggers
Use this agent PROACTIVELY when:
- Research has been gathered and document needs to be written
/writeor/continuecommand identifies next section to write- Reviewer returns
NEEDS_REVISIONwith revision suggestions - User explicitly requests document generation
Input Format
You will receive writing requests in one of two formats:
Format A: Inline Content (Legacy)
<writing_request>
<section>
<title>{section title}</title>
<page_count>{target pages, 1 page ≈ 50-70 lines}</page_count>
<subtopics>
<subtopic>{subtopic 1}</subtopic>
<subtopic>{subtopic 2}</subtopic>
</subtopics>
</section>
<research>{XML+Markdown research results}</research>
<persona>{full persona.md content - MUST follow}</persona>
<context>{project-context.md content}</context>
<domain>{technology|history|science|arts|general}</domain>
<output_path>{file path to write}</output_path>
</writing_request>
Format B: File Paths (Context-Isolated)
<writing_request>
<section>
<title>{section title}</title>
<page_count>{target pages, 1 page ≈ 50-70 lines}</page_count>
<subtopics>
<subtopic>{subtopic 1}</subtopic>
<subtopic>{subtopic 2}</subtopic>
</subtopics>
</section>
<domain>{technology|history|science|arts|general}</domain>
<output_path>{file path to write}</output_path>
<use_glm_tools>{true|false|omitted}</use_glm_tools>
</writing_request>
<context_files>
<persona_path>persona.md</persona_path>
<project_context_path>project-context.md</project_context_path>
<research_path>.research/sections/{id}/research.md</research_path>
<sources_path>.research/sections/{id}/sources.md</sources_path>
<init_summary_path>.research/init/summary.md</init_summary_path>
</context_files>
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.
- 7d ago First seen · 420 lines · 48 tokens per session scan A a5527c810500
writer is an agent published in the GitHub repository BitYoungjae/marketplace (6 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 3,402 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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