dispatching-parallel-agents

A skill for assigning two or more unrelated tasks to separate agents so they can be investigated at the same time. It is meant for work that has no shared state or ordering requirement.

In plain words
What is it for?
Investigating unrelated failing test files, independent subsystem problems, or separate bugs concurrently.
Why use it?
It reduces waiting when independent test failures, bugs, or subsystems can be examined separately.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/dr-code/tessera/dispatching-parallel-agents
Any agent
npx skills add dr-code/tessera --skill dispatching-parallel-agents
Clone the repo
git clone --depth 1 https://github.com/dr-code/tessera

Made for: Claude Code, Codex.

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 673 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00026 $0.00673
Opus 5 $0.00013 $0.00336
Sonnet 5 $0.00005 $0.00135
Haiku 4.5 $0.00003 $0.00067

Measured yesterday against content hash fcee0f679d3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dispatching-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 yesterday.

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-agents/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dispatching Parallel Agents

Overview

When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigate them concurrently.

Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.

When to Use

  • 3+ test files failing with different root causes
  • Multiple subsystems broken independently
  • Each problem can be understood without context from others
  • No shared state between investigations

Don't use when:

  • Failures are related (fix one might fix others)
  • Agents would interfere with each other (same files, same resources)

Tessera Context Load

Before dispatching any agents — if tessera MCP is configured:

1. graph_continue (mandatory first call for the coordinator)
2. graph_retrieve with the failing component names as query

This routes the coordinator to the most relevant files for understanding the problem space before splitting work into agents.

The Pattern

1. Identify Independent Domains

Group failures by what's broken:

  • File A tests: one component
  • File B tests: different component
  • File C tests: yet another component

Each domain is independent.

2. Create Focused Agent Tasks

Each agent gets:

  • Specific scope: One test file or subsystem
  • Clear goal: Make these tests pass
  • Constraints: Don't change other code
  • Expected output: Summary of what you found and fixed

Include the Tessera graph discipline in each agent prompt (if tessera MCP is configured):

- Call graph_continue as your FIRST tool call
- Call graph_retrieve with this task's key terms
- Read recommended_files via graph_read before exploring
- After each file edit: graph_register_edit(files=["file::symbol"], summary="...")
- Lock architectural choices: graph_lock_decision(summary, scope, files)

3. Dispatch in Parallel

Use Task tool — all dispatches in a single message so they run concurrently.

Read the full file on GitHub · 105 lines

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. yesterday First seen · 105 lines · 26 tokens per session scan A fcee0f679d3f

Subscribe to this mod's changes

dispatching-parallel-agents is a skill published in the GitHub repository dr-code/tessera (1 stars, last pushed 21d ago), licensed MIT. It adds 26 tokens to every session and 673 once invoked, about $0.0001 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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