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 skills/leenkcool/humanasllm/dispatch-humannpx skills add leenkcool/humanasllm --skill dispatch-humangit clone --depth 1 https://github.com/leenkcool/humanasllmWrote 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/leenkcool/humanasllm/dispatch-human)<a href="https://agentmods.dev/skills/leenkcool/humanasllm/dispatch-human"><img src="https://agentmods.dev/badge/skills/leenkcool/humanasllm/dispatch-human.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 | $0.00083 | $0.01304 |
| Opus 5 | $0.00042 | $0.00652 |
| Sonnet 5 | $0.00017 | $0.00261 |
| Haiku 4.5 | $0.00008 | $0.00130 |
Grade A, and why
dispatch-human 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 4d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
派单给人工工程师(dispatch-human)
本 Skill 是「humanllm agent」的触发入口:它自己不实现任务,而是整理触发条件 → 委派给 humanllm agent → 回传人工产出。
Trigger(何时触发)
- 用户明确要求人工处理:「交给人工」「派给人类」「让工程师做」「需要真人实现」
- 任务涉密 / 私有内部逻辑 / 不可外传 / 敏感业务
- 项目规则(CLAUDE.md)明确要求人工编写
- 任务可能额外需要外部资源(服务器 / API Key / 权限 / 环境)——humanllm 会自动先提审批
Steps(主代理执行)
- 读取 调用者任务原文与全部上下文(messages、约束、涉密标记)。
- 标注交人工原因:
安全原因或项目规则要求,随任务一并传给 agent。 - 委派:调用 Agent 工具,参数如下:
humanllm 会按subagent_type: "humanllm" prompt: <任务原文 + 交人工原因标注> run_in_background: false // /v1 异步受理,humanllm 登记未完成、之后回查交付;大任务可后台.claude/agents/humanllm.md自动把任务整理成「完整上下文包」(【任务】【交人工原因】【项目与代码库】【接单流程】【环境约定】【要求】),写入data/human_task.json并提交 p390 网关。 - 登记未完成(humanllm 执行):/v1 异步受理立即返回
task_id(人工小时级,不再挂起等待)。humanllm 把 task_id 登记到data/human_followup.json(pending)。 - 回查交付(humanllm 执行):后续做相关工作再次调用时,humanllm 先回查
GET /v1/tasks/:id——completed把人工产出逐字返回(保留代码块与换行);未完成则如实反馈状态、保留登记继续轮候。
主代理只负责「判断触发 → 委派 → 接收产出/状态」,不直接读写
data/下任何文件;登记、回查、交付全部由 humanllm 按.claude/agents/humanllm.md自动完成。
跟进时机(何时再次委派 humanllm 回查)
humanllm 每次被委派都会先回查 data/human_followup.json 里的未完成任务。因此:
- 用户再次提问、做与之相关的工作、或派新任务时,主代理先委派一次 humanllm(prompt 注明「先回查未完成的人工任务,再处理本次请求」),humanllm 会先交付已完成的产出、反馈未完成的状态,再继续本次工作。
- 只要对话仍在进行,就把「跟进人工任务」作为相关工作开始前的固定动作,防遗忘。
委派参数速查
| 参数 | 值 | 说明 |
|---|---|---|
subagent_type |
humanllm |
指定人工代理 agent |
run_in_background |
false |
异步受理:humanllm 登记未完成、跟进时回查交付;大任务可后台 true |
model |
省略 | humanllm 定义已定(转发器,仅 haiku 占位) |
isolation |
省略 | 无需 worktree(转发类任务) |
Verification(怎么算做对)
- ✅ 确实调用了
humanllmagent(而非自行实现任务)。 - ✅ 任务包六要素齐全(humanllm 保证):【任务】【交人工原因】【项目与代码库】【接单流程】【环境约定】【要求】。
- ✅ 拿到
task_id已登记到data/human_followup.json(未完成,防遗忘)。 - ✅ 回传内容是人工产出原文(
completed回查),未自行改写、未丢代码块/换行。 - ✅ 未完成任务如实反馈状态(pending/processing/returned),未谎称完成,继续轮候。
- ✅ 附上了任务编号(如 #21)与工作台地址
http://192.168.168.3:39000/login.html。
硬绑定变体(可选)
若希望整个 skill 直接以 humanllm agent 身份运行(跳过"主代理→委派"),把 frontmatter 改为:
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.
- 4d ago First seen · 75 lines · 83 tokens per session scan A f6e57cd8d266
dispatch-human is a skill published in the GitHub repository leenkcool/humanasllm (23 stars, last pushed 18d ago), licensed MIT. It adds 83 tokens to every session and 1,304 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
browser-use
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.
open-source
Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browseruse, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle…
ocx
Drive a running opencodex (ocx) proxy from the CLI — account pools, provider routing, model catalog, usage and cost attribution, request logs, access keys, storage cleanup, and the management API. Use when a task involves controlling or inspecting an opencodex proxy rather than editing the opencodex codebase.…
kayba-stage-5-action-plan
Triage each insight into discard/code-fix/prompt-fix and produce a prioritized action plan with specific recommendations. Trigger when the user says "run stage 5", "make action plan", "triage skills", or when invoked by the kayba-pipeline orchestrator. Requires eval outputs from stages 1-4.
kayba-stage-2-domain-context
Gather domain context about the repository and agent — system prompt, tool definitions, domain docs, and behavior patterns from traces. Trigger when the user says "run stage 2", "gather context", "domain context", or when invoked by the kayba-pipeline orchestrator.
kayba-stage-7-fixer
Implement the approved fixes from the action plan and log all changes. Trigger when the user says "run stage 7", "implement fixes", "apply action plan", or when invoked by the kayba-pipeline orchestrator. Requires eval/actionplan.md to exist.