parallel-agent-delivery

parallel-agent-delivery is a skill for Claude Code from cbrock84/headcount. It costs 73 tokens per session (410 once invoked), scanned A, original, MIT.

A workflow for splitting independent coding tasks across multiple agents or sessions, with separate files or work areas so their results can be combined safely.

In plain words
What is it for?
Use it to divide a large search, audit, or implementation into independent pieces and coordinate the results.
Why use it?
It reduces waiting on unrelated work while avoiding merge conflicts and hidden dependencies. It also makes each result easier to check on its own.

Skill for Claude Code

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

Part of the technology plugin — 11 skills shipped together

Good fit Use it to divide a large search, audit, or implementation into independent pieces and coordinate the results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cbrock84/headcount/parallel-agent-delivery
About the project

headcount is an organization of independently installable Claude Code plugins, each grouping skills for a department such as finance, security, or demand generation. Claude Code users install the departments they need and invoke their skills for specialized work; the catalogue entries are skills and related agent tooling from that organization.

cbrock84/headcount · 2,077 stars · on GitHub · cbrock84.github.io

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 cbrock84/headcount --skill parallel-agent-delivery
Clone the repo
git clone --depth 1 https://github.com/cbrock84/headcount

Made for: Claude Code.

Or install technology, the plugin that ships this one along with the rest of its 11 skills.

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 parallel-agent-delivery

README.md
[![agentmods](https://agentmods.dev/badge/skills/cbrock84/headcount/parallel-agent-delivery/github.svg)](https://agentmods.dev/skills/cbrock84/headcount/parallel-agent-delivery)
Your own site
<a href="https://agentmods.dev/skills/cbrock84/headcount/parallel-agent-delivery"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/parallel-agent-delivery/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 parallel-agent-delivery

Your own site · 80×15
<a href="https://agentmods.dev/skills/cbrock84/headcount/parallel-agent-delivery"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/parallel-agent-delivery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00073 $0.00410
Opus 5.5 $0.00029 $0.00164
Sonnet 5.5 $0.00015 $0.00082
Haiku 4.5 $0.00007 $0.00041

Measured 1mo ago against content hash 52420342c14a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

parallel-agent-delivery 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 1mo 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.

plugins/technology/skills/parallel-agent-delivery/SKILL.md · 47 lines

What it actually says

Parallel agent delivery

Parallelism is a property of the work, not a preference. Establish it before dispatching.

When it is safe

All three must hold:

  1. Disjoint write surfaces — no two agents touch the same file. Not "unlikely to conflict"; provably disjoint.
  2. No sequential dependency — none needs another's output to start.
  3. Independently verifiable — each result can be judged on its own.

Fail any one and run sequentially. Two agents editing one file produces a merge conflict at best and a silent lost update at worst.

Dispatching

Each agent gets a self-contained brief: the goal, its exclusive surface, the context it cannot see for itself, and the shape of the answer expected. Agents share no memory — anything you leave out is gone.

Ask for a structured return, the same shape from each, so results can be compared rather than re-read.

Read-only fan-out is the easy case

Searching, auditing, and reviewing have no write surface at all, so they parallelize without risk. Reach for parallelism here first and freely.

Integrating

  • Review each result against its brief before merging any of them.
  • Where two disagree on a shared fact, neither is authoritative — resolve it yourself.
  • One agent returning nothing useful is a normal outcome, not a failure to retry blindly.

Never

  • Split work to look faster when the steps are actually sequential.
  • Let two agents write to one surface because "they probably won't collide."
  • Merge a result you have not read.
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. 1mo ago First seen · 47 lines · 73 tokens per session scan A 52420342c14a

Subscribe to this mod's changes

parallel-agent-delivery is a skill published in the GitHub repository cbrock84/headcount (2,077 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 410 once invoked, about $0.0003 per session on Opus 5.5. 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.

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