dispatching-parallel-investigations

dispatching-parallel-investigations is a skill for Claude Code from K-Dense-AI/science-superpowers. It costs 38 tokens per session (1,123 once invoked), scanned A, original, no licence file.

A workflow for running separate investigations at the same time when they do not depend on one another. Examples include literature surveys, repeating an analysis on several datasets, or checking planned variations.

In plain words
What is it for?
Use it to coordinate parallel research tasks, multi-dataset replications, or pre-planned robustness checks.
Why use it?
It avoids waiting for independent pieces of work to finish one after another.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the science-superpowers plugin — 16 skills, 1 hook shipped together

Good fit Use it to coordinate parallel research tasks, multi-dataset replications, or pre-planned robustness checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/science-superpowers/dispatching-parallel-investigations
Install

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.

Any agent
npx skills add K-Dense-AI/science-superpowers --skill dispatching-parallel-investigations
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers

Made for: Claude Code.

Or install science-superpowers, the plugin that ships this one along with the rest of its 16 skills, 1 hook.

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 dispatching-parallel-investigations

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/science-superpowers/dispatching-parallel-investigations/github.svg)](https://agentmods.dev/skills/k-dense-ai/science-superpowers/dispatching-parallel-investigations)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/science-superpowers/dispatching-parallel-investigations"><img src="https://agentmods.dev/badge/skills/k-dense-ai/science-superpowers/dispatching-parallel-investigations/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 dispatching-parallel-investigations

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/science-superpowers/dispatching-parallel-investigations"><img src="https://agentmods.dev/badge/skills/k-dense-ai/science-superpowers/dispatching-parallel-investigations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,123 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 unknown No closer match found 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 $0.00038 $0.01123
Opus 5 $0.00019 $0.00562
Sonnet 5 $0.00008 $0.00225
Haiku 4.5 $0.00004 $0.00112

Measured 11d ago against content hash c0bef023dde4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dispatching-parallel-investigations 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.

skills/dispatching-parallel-investigations/SKILL.md · 117 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 11d ago First seen · 117 lines · 38 tokens per session scan A c0bef023dde4

Subscribe to this mod's changes

dispatching-parallel-investigations is a skill published in the GitHub repository K-Dense-AI/science-superpowers (327 stars, last pushed 8d ago), with no licence file. It adds 38 tokens to every session and 1,123 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 2026-08-30.

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