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 christopherlouet/claude-base --skill parallel-agentsgit clone --depth 1 https://github.com/christopherlouet/claude-baseWrote 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/christopherlouet/claude-base/parallel-agents)<a href="https://agentmods.dev/skills/christopherlouet/claude-base/parallel-agents"><img src="https://agentmods.dev/badge/skills/christopherlouet/claude-base/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/christopherlouet/claude-base/parallel-agents"><img src="https://agentmods.dev/badge/skills/christopherlouet/claude-base/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 | $0.00033 | $0.01819 |
| Opus 5 | $0.00016 | $0.00910 |
| Sonnet 5 | $0.00007 | $0.00364 |
| Haiku 4.5 | $0.00003 | $0.00182 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel Agents Orchestration
Goal
Decompose complex tasks into independent sub-tasks and run them in parallel via specialized sub-agents to maximize efficiency.
When to use parallelism
┌──────────────────────────────────────────────────────────────────┐
│ DECISION: PARALLEL OR SEQUENTIAL ? │
├──────────────────────────────────────────────────────────────────┤
│ │
│ PARALLEL if: │
│ - INDEPENDENT sub-tasks (no data dependency) │
│ - MERGEABLE results (combinable without conflict) │
│ - Task DECOMPOSABLE into distinct parts │
│ │
│ SEQUENTIAL if: │
│ - Result A required to start B │
│ - Modifications on the SAME files │
│ - Execution order MATTERS │
│ │
└──────────────────────────────────────────────────────────────────┘
Parallelization patterns
1. Fan-Out / Fan-In
┌─→ [Agent A: security audit] ─→┐
│ │
[Task] ─┼─→ [Agent B: perf audit] ─→┼─→ [Combined report]
│ │
└─→ [Agent C: a11y audit] ─→┘
Usage: Audits, multi-criteria analyses, parallel reviews
2. Map-Reduce
[Files] ─→ [Agent 1: file A] ─→┐
→ [Agent 2: file B] ─→┼─→ [Synthesis]
→ [Agent 3: file C] ─→┘
Usage: Code analysis by module, tests by domain
3. Pipeline with parallel steps
[Step 1] ─→ [Step 2a] ─→┐
[Step 2b] ─→┼─→ [Step 3]
[Step 2c] ─→┘
Usage: Build pipeline, workflow with independent steps
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.
- 6d ago First seen · 214 lines · 33 tokens per session scan A d0ed62c2b305
parallel-agents is a skill published in the GitHub repository christopherlouet/claude-base (5 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,819 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.
Other skills, from other repositories
accessibility-a11y
WCAG 2.2 compliance, ARIA patterns, keyboard navigation, screen readers, automated testing.
android-development
Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.
ios-development
Comprehensive guide for building native Apple platform applications.
ai-policy-generator
AI governance policy creation for nonprofits and enterprises with frameworks, risk assessment, ethical guidelines, and compliance templates. Use when drafting AI usage policies, responsible AI frameworks, or organizational AI governance documents.
battle-card-builder
Competitive battle card creation for sales teams combining competitive intelligence, sales enablement, and document formatting. Use when building battle cards, competitive analysis decks, or win/loss analysis materials.
course-material-creator
Create custom educational materials including syllabi, lesson plans, assessments, reading lists, and learning objectives. Use when building course curricula, training programs, workshops, or educational content.