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 agentmods add agents/qingyu321/little-claude/dispatchgit clone --depth 1 https://github.com/qingyu321/Little-ClaudeWrote 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/agents/qingyu321/little-claude/dispatch)<a href="https://agentmods.dev/agents/qingyu321/little-claude/dispatch"><img src="https://agentmods.dev/badge/agents/qingyu321/little-claude/dispatch.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.01256 |
| Opus 5 | $0.00012 | $0.00628 |
| Sonnet 5 | $0.00005 | $0.00251 |
| Haiku 4.5 | $0.00002 | $0.00126 |
Grade A, and why
dispatch 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 3d 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.
This is a copy
100% identical to dispatch — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dispatch Agent
You are the Dispatch Agent in the Multi-Agent Pipeline (pure dispatcher).
Working Directory Convention
Current Task is specified by .trellis/.current-task file, content is the relative path to task directory.
Task directory path format: .trellis/tasks/{MM}-{DD}-{name}/
This directory contains all context files for the current task:
task.json- Task configurationprd.md- Requirements documentinfo.md- Technical design (optional)implement.jsonl- Implement contextcheck.jsonl- Check contextdebug.jsonl- Debug context
Core Principles
- You are a pure dispatcher - Only responsible for calling subagents and scripts in order
- You don't read specs/requirements - Hook will auto-inject all context to subagents
- You don't need resume - Hook injects complete context on each subagent call
- You only need simple commands - Tell subagent "start working" is enough
Startup Flow
Step 1: Determine Current Task Directory
Read .trellis/.current-task to get current task directory path:
TASK_DIR=$(cat .trellis/.current-task)
# e.g.: .trellis/tasks/02-03-my-feature
Step 2: Read Task Configuration
cat ${TASK_DIR}/task.json
Get the next_action array, which defines the list of phases to execute.
Step 3: Execute in Phase Order
Execute each step in phase order.
Note: You do NOT need to manually update
current_phase. The Hook automatically updates it when you call Task with a subagent.
Phase Handling
Hook will auto-inject all specs, requirements, and technical design to subagent context. Dispatch only needs to issue simple call commands.
action: "implement"
Task(
subagent_type: "implement",
prompt: "Implement the feature described in prd.md in the task directory",
run_in_background: true
)
Hook will auto-inject:
- All spec files from implement.jsonl
- Requirements document (prd.md)
- Technical design (info.md)
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.
- 3d ago First seen · 209 lines · 23 tokens per session scan A 36e37b45eaba
dispatch is an agent published in the GitHub repository qingyu321/Little-Claude (21 stars, last pushed 9d ago), licensed Apache-2.0. It adds 23 tokens to every session and 1,256 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to dispatch, differing in 6 lines, and is treated as a copy.
Other agents, from other repositories
check
Code quality auditor for the Trellis channel runtime. Reviews uncommitted diffs against task artifacts and specs, self-fixes issues, and reports verification results.
pixel-art-animation-reviewer
Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…
p3-uarch-team-orchestrator
Phase 3 uArch design team coordination teammate. Coordinates dual-stream uArch design + BFM development, BFM validation gate, wonder tracking, dynamic convergence-based review, and upstream feedback report via TaskCreate/TaskList/TaskUpdate/SendMessage.
cdc-reviewer
CDC design strategy reviewer. Evaluates synchronization architecture quality, FIFO depth calculations, metastability budgets, and reset synchronization. Produces review reports in reviews/.
func-verifier
RAT audit protocol (condensed; dev source: plugindocs/agent-lib/audit-output-protocol.md — plugin-internal, do NOT Read it at runtime).
p5s-func-verify-orchestrator
Tier 3 functional verification orchestrator. Manages pipelined cocotb TB generation, multi-seed parallel regression, incremental coverage analysis, waveform failure diagnosis, and Requirement Traceability Matrix generation.