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 commands/bityoungjae/marketplace/writegit 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/commands/bityoungjae/marketplace/write)<a href="https://agentmods.dev/commands/bityoungjae/marketplace/write"><img src="https://agentmods.dev/badge/commands/bityoungjae/marketplace/write.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 | $0.00047 | $0.02940 |
| Opus 5 | $0.00023 | $0.01470 |
| Sonnet 5 | $0.00009 | $0.00588 |
| Haiku 4.5 | $0.00005 | $0.00294 |
Grade A, and why
write 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.
How it starts
The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Document
Write the next incomplete section from task.md, or a specific section if provided via $ARGUMENTS.
Context Files
- Persona: @persona.md
- Project Context: @project-context.md
Current State
- Next task: !
grep -m1 "\[ \]" task.md 2>/dev/null || echo "No task.md found"
Process
1. Identify Target Section and Parse Flags
CRITICAL: Parse flags from $ARGUMENTS first:
skip_review = $ARGUMENTS.includes("--skip-review")
use_glm_tools = $ARGUMENTS.includes("--glm") ? "true" : "false"
section_id = $ARGUMENTS.replace("--skip-review", "").replace("--glm", "").trim()
If section_id is empty after flag removal, parse task.md for the first [ ] item.
Extract:
- Section ID (e.g., "3.2")
- Section title
2. Get Section Details and Domain
Read plan.md and extract details for the target section:
- Full title
- Estimated page count
- Subtopics to cover
- Part/Chapter context
Read persona.md and extract domain information:
- Domain (from Domain Guidelines section header, e.g., "Domain Guidelines: Technology" → technology)
- If no Domain Guidelines section, default to "technology" for backward compatibility
Domain values: technology, history, science, arts, general
3. Resolve Research Directory
CRITICAL: Use multi-tier search to find existing research directories. This handles naming inconsistencies from different generation sources.
3.1 Normalize Identifiers
Apply normalization functions from research-storage skill:
# Extract chapter and section from section ID (e.g., "1.2" or "01-2")
raw_chapter = extract_chapter(section_id)
raw_section = extract_section(section_id)
# Normalize to canonical format
canonical_chapter = normalizeChapter(raw_chapter)
# "1" → "01", "01" → "01", "10" → "10"
canonical_section = normalizeSection(raw_section)
# "1" → "1", "01" → "1", "02" → "2"
canonical_slug = generateSlug(section_title)
# "Core Concepts" → "core-concepts"
# "What is React?" → "what-is-react"
canonical_path = ".research/sections/{canonical_chapter}-{canonical_section}-{canonical_slug}/"
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 · 392 lines · 47 tokens per session scan A 2de693f095ab
write is a command published in the GitHub repository BitYoungjae/marketplace (6 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 2,940 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.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
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.