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 skills add crabsmadethis/d2r-horadric-tools --skill d2r-parallel-agentsgit clone --depth 1 https://github.com/crabsmadethis/d2r-horadric-toolsWrote 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/skills/crabsmadethis/d2r-horadric-tools/d2r-parallel-agents)<a href="https://agentmods.dev/skills/crabsmadethis/d2r-horadric-tools/d2r-parallel-agents"><img src="https://agentmods.dev/badge/skills/crabsmadethis/d2r-horadric-tools/d2r-parallel-agents/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.
<a href="https://agentmods.dev/skills/crabsmadethis/d2r-horadric-tools/d2r-parallel-agents"><img src="https://agentmods.dev/badge/skills/crabsmadethis/d2r-horadric-tools/d2r-parallel-agents.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00039 | $0.00840 |
| Opus 5 | $0.00019 | $0.00420 |
| Sonnet 5 | $0.00008 | $0.00168 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
d2r-parallel-agents 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 11d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D2R Parallel Agent Dispatch
Overview
Claude Code's Agent tool can parallelize D2R work across characters or tasks. On a 16GB Steam Deck, dispatch at most 2 agents simultaneously to avoid OOM.
When to Parallelize
Good candidates (independent, read-only or isolated writes):
- Validating multiple character YAMLs simultaneously
- Looking up game data for several items at once
- Scanning multiple characters after a batch change
- Reviewing multiple char definitions for issues
Do NOT parallelize:
- Building characters that share stash (collision risk)
- Edits to the same .d2s file
- Anything that writes to shared state
Dispatch Patterns
Pattern 1: Parallel Validation
Validate all characters at once. Each agent validates one character.
Agent({
description: "Validate Tempest YAML",
prompt: "Run `python3 -m d2r_chargen validate Tempest` and report results. Only report — do not fix anything."
})
Agent({
description: "Validate Obsidian YAML",
prompt: "Run `python3 -m d2r_chargen validate Obsidian` and report results. Only report — do not fix anything."
})
Pattern 2: Parallel Data Lookup
Look up multiple items simultaneously for character planning.
Agent({
description: "Look up Enigma runeword",
prompt: "Use the d2r_lookup_runeword MCP tool to look up 'Enigma'. Return the full result including runes, valid bases, and stats."
})
Agent({
description: "Look up Harlequin Crest",
prompt: "Use the d2r_lookup_unique MCP tool to look up 'Harlequin Crest'. Return UID, base, and all stats."
})
Pattern 3: Parallel Scan
Scan multiple characters after a mod data change.
Agent({
description: "Scan Tempest",
prompt: "Run the d2rdoctor scanner on Tempest. Report: clean, warnings, or hard errors. Full output."
})
Agent({
description: "Scan Malachar",
prompt: "Run the d2rdoctor scanner on Malachar. Report: clean, warnings, or hard errors. Full output."
})
Pattern 4: Sequential Build with Parallel Validation
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.
- 11d ago First seen · 109 lines · 39 tokens per session scan A 891dc83a496f
d2r-parallel-agents is a skill published in the GitHub repository crabsmadethis/d2r-horadric-tools (4 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 840 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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