parallelism-aware-skill-step-design

parallelism-aware-skill-step-design is a skill for Claude Code, Codex from ychampion/cskill-agents. It costs 35 tokens per session (410 once invoked), scanned A, original, MIT.

A workflow-design method that records whether each step runs directly, in a subagent, in parallel, or with human approval.

In plain words
What is it for?
It helps design multi-agent skills with parallel steps, handoff requirements, and human checkpoints.
Why use it?
It makes execution responsibilities and safe concurrency explicit before the workflow is saved.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit It helps design multi-agent skills with parallel steps, handoff requirements, and human checkpoints.

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Install with agentmods
npx agentmods add skills/ychampion/cskill-agents/parallelism-aware-skill-step-design
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 ychampion/cskill-agents --skill parallelism-aware-skill-step-design
Clone the repo
git clone --depth 1 https://github.com/ychampion/cskill-agents

Made for: Claude Code, Codex.

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 parallelism-aware-skill-step-design

README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/ychampion/cskill-agents/parallelism-aware-skill-step-design"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/parallelism-aware-skill-step-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 410 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 original 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 $0.00035 $0.00410
Opus 5 $0.00017 $0.00205
Sonnet 5 $0.00007 $0.00082
Haiku 4.5 $0.00003 $0.00041

Measured 6d ago against content hash e5c83b4d9db2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

parallelism-aware-skill-step-design 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 6d 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.

agents/claude-code/skills/parallelism-aware-skill-step-design/SKILL.md · 29 lines

What it actually says

SKILL: Parallelism-Aware Skill Step Design

Domain: multi-agent
Trigger: Use when converting a workflow into a skill and some steps may run in parallel, through task agents, through teammate swarms, or require human checkpoints. Source Pattern: Distilled from reviewed multi-agent coordination and child-runtime patterns.

Core Method

Model each major step not just by what it does, but by how it executes. During the interview, ask whether steps are independent, whether they should run directly or via agents, and whether any human confirmation is required before advancing. Then encode those answers into the saved skill so later agents know where concurrency is safe, where isolation is useful, and where execution must pause for a person.

Key Rules

  • Ask explicitly whether sibling steps can run in parallel before assuming a sequential workflow.
  • Distinguish direct execution, task-agent execution, teammate-swarm execution, and human-owned steps in the final step design.
  • Capture the artifacts that parallel steps must hand back before downstream steps can continue.
  • Mark irreversible or judgment-heavy transitions with a human checkpoint even if surrounding steps are automated.
  • Keep the execution annotations tied to concrete workflow behavior, not to abstract enthusiasm for subagents.

Example Application

If a launch skill needs one branch to post release notes and another to monitor CI, mark those steps as parallel and note the artifacts they return. If the next step merges a release branch, add a human checkpoint before that merge even though earlier monitoring ran through subagents.

Anti-Patterns (What NOT to do)

  • Do not flatten every workflow into a purely sequential script when some steps are independent and could safely overlap.
  • Do not label steps as agent-driven without defining what result they must return or when a person needs to intervene.
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. 6d ago First seen · 29 lines · 35 tokens per session scan A e5c83b4d9db2

Subscribe to this mod's changes

parallelism-aware-skill-step-design is a skill published in the GitHub repository ychampion/cskill-agents (36 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 410 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 2026-09-03.