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 hainamchung/agent-assistant --skill dispatching-parallel-agentsgit clone --depth 1 https://github.com/hainamchung/agent-assistantWrote 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/hainamchung/agent-assistant/dispatching-parallel-agents)<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/dispatching-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/hainamchung/agent-assistant/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/dispatching-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 | $0.00029 | $0.00853 |
| Opus 5 | $0.00015 | $0.00426 |
| Sonnet 5 | $0.00006 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00085 |
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 8d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dispatching Parallel Agents
When you have multiple unrelated tasks (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.
Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.
When to Use
Multiple independent tasks?
↓ YES
Dispatch in parallel (3+ domains)
Use when:
- 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)
- Need to understand full system state
- Agents would interfere with each other
The Pattern
1. Identify Independent Domains
Group tasks by what's broken:
- File A: Authentication logic
- File B: Data persistence
- File C: API integration
Each domain is independent.
2. Create Focused Agent Tasks
Each agent gets:
- Specific scope: One test file or subsystem
- Clear goal: What to accomplish
- Constraints: What NOT to change
- Expected output: What to return
3. Dispatch in Parallel
Agent 1 → Fix authentication tests
Agent 2 → Fix persistence tests
Agent 3 → Fix API integration tests
// All run concurrently
4. Review and Integrate
When agents return:
- Read each summary
- Verify fixes don't conflict
- Run full test suite
- Integrate all changes
Agent Prompt Structure
Good agent prompts are:
- Focused - One clear problem domain
- Self-contained - All context needed to understand the problem
- Specific about output - What should the agent return?
Fix the failing tests in src/features/auth/test.ts:
1. "should authenticate valid users" - expects token in response
2. "should reject invalid credentials" - returns 200 instead of 401
3. "should handle expired tokens" - throws uncaught exception
These are logic errors in the auth handler. Your task:
1. Read the test file and understand what each test verifies
2. Identify root cause - logic errors or test errors?
3. Fix by:
- Correcting auth handler logic if buggy
- Fixing test expectations if testing changed behavior
Return: Summary of what you found and what you fixed.
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.
- 8d ago First seen · 132 lines · 29 tokens per session scan A c3e1ad78e264
dispatching-parallel-agents is a skill published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 853 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 2026-09-03.
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