Borrowing it
Nothing to install: this file belongs to senda-labs/DQIII8. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/senda-labs/DQIII8/main/.claude/skills/dispatch-agent/SKILL.mdgit clone --depth 1 https://github.com/senda-labs/DQIII8Wrote 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/senda-labs/dqiii8/dispatch-agent)<a href="https://agentmods.dev/skills/senda-labs/dqiii8/dispatch-agent"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/dispatch-agent/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/senda-labs/dqiii8/dispatch-agent"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/dispatch-agent.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 | $0.00072 | $0.02002 |
| Opus 5 | $0.00036 | $0.01001 |
| Sonnet 5 | $0.00014 | $0.00400 |
| Haiku 4.5 | $0.00007 | $0.00200 |
Grade A, and why
dispatch-agent 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 9d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dispatch Agent — Despachar tareas al routing system de dqiii8
DORMANTE bajo Anthropic-only (directiva usuario 2026-08-18). Este skill despacha a
NIM/Groq/Ollama — ninguno operativo hoy (NIM confirmado 403 desde 2026-08-16). No usar
dispatch.py para trabajo real mientras la directiva siga vigente; usa el Agent tool
nativo (Sonnet por defecto) o claude -p directo. El resto de este fichero describe la
mecánica completa para cuando se reactive — ver checklist de reactivación en
.claude/rules_db/archive/multi-tier-dormant-2026-08.md.
Cuándo usar este skill (una vez reactivado el multi-tier)
Siempre que necesites ejecutar trabajo en NIM/Groq/Ollama en lugar de gastar tokens de Anthropic:
- Generar código desde pseudocódigo o spec →
python-specialistoalgo-specialist - Investigación de dominio →
research-analyst - Múltiples subtareas paralelas independientes →
dispatch_parallel - Análisis de datos →
data-specialist - Safety check →
safety-checker - Revisión/validación de código →
code-reviewer(Opus)
Herramienta principal
cd /root/dqiii8
# Despacho único (sync, respuesta directa)
python3 bin/core/dispatch.py --agent <agente> --prompt "<tarea>"
# Con contexto de fichero
python3 bin/core/dispatch.py --agent python-specialist --context-file specs/impl.md --prompt "Implementa esto"
# Async (devuelve task_id, continúa en background)
python3 bin/core/dispatch.py --agent research-analyst --prompt "..." --async
# Leer resultado async
python3 bin/core/dispatch.py --read <task_id>
# Ver todos los agentes disponibles
python3 bin/core/dispatch.py --list-agents
Hermes Work Loop — Patrón de orquestación
El Hermes Loop es el patrón estándar para trabajo multi-agente desde CC:
[CC: PLANIFICACIÓN]
↓
[dispatch_parallel → N agentes NIM/Groq] ← Costo ~$0, 40 RPM NIM
↓
[CC: RECOLECTAR + FILTRAR resultados]
↓
[dispatch → code-reviewer (Opus)] ← Solo si hay código crítico
↓
[CC: SINTETIZAR + ENTREGAR]
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.
- 9d ago First seen · 189 lines · 72 tokens per session scan A b73ffff4ae66
dispatch-agent is a skill published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 20d ago), licensed MIT. It adds 72 tokens to every session and 2,002 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
using-adaptive-harness
Auto-mode bootstrap for adaptive-harness. Intercepts tasks, routes to optimal harness, evaluates results. Use on every task when adaptive-harness auto-mode is active.
task-taxonomy
Reference for the 6-axis task taxonomy used by adaptive-harness routing. Use when user asks how tasks are classified.
harness-registry
Manage the adaptive-harness pool: list, inspect, promote, demote harnesses. Use when user asks about harness status or wants to manage the pool.
skill-review-response
Use when a reviewer, CI bot, or another AI leaves feedback to address.
sys-configure
Configure Claude Octopus — redirects to /octo:setup interactive wizard.
continuum-tools-mcp
Connect MCP servers (Stdio/SSE/StreamableHTTP) to a Continuum agent, configure tool filtering, set up tool-context capture/injection (e.g. sessionid), and read run artifacts (UI widgets, structured tool data). Invoke when the user asks "connect MCP", "filesystem tool", "remote API tool", "auto-capture sessionid"…