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Agent Skill · 研究检索

autonomous-dispatcher(自主调度员)

autonomous-dispatcher 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

autonomous-dispatcher 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 41,077。

总安装 1,223周安装 52GitHub Stars 15下载 428核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:autonomous-dispatcher(自主调度员)
来源仓库:https://github.com/zxkane/autonomous-dev-team
仓库路径:skills/autonomous-dispatcher
安装命令:
npx skills add https://github.com/zxkane/autonomous-dev-team --skill autonomous-dispatcher
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zxkane/autonomous-dev-team --skill autonomous-dispatcher

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

GitHub Issue 扫描与本地任务分发调度系统。适合需要批量处理 Issues 并自动分配开发任务的场景。仅读取标签和评论信息,不会修改源代码或推送分支。必须使用 GitHub App Token 而非用户 Token 进行身份验证。建议在私有仓库中限制 autonomous 标签的添加权限以确保安全。

来源仓库内路径:skills/autonomous-dispatcher

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/zxkane/autonomous-dev-team --skill autonomous-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

autonomous-dispatcher 怎么安装?

在终端执行 npx skills add https://github.com/zxkane/autonomous-dev-team --skill autonomous-dispatcher。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

autonomous-dispatcher 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

autonomous-dispatcher 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

autonomous-dispatcher 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

autonomous-dispatcher 用的人多吗?

公开数据是累计安装 1,223 次,近一周安装 52 次,下载 428 次,GitHub 15 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

autonomous-dispatcher 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
autonomous-dispatcher

自主调度员 · 本页

1,22315接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Autonomous Dev Team Dispatcher

Scan GitHub issues and dispatch dev/review tasks locally.

Security Note: This dispatcher processes GitHub issue content as input. In public repositories, issue content is untrusted — anyone can create issues. Ensure the autonomous label can only be applied by trusted maintainers (use GitHub branch rulesets or organizational policies). The dispatcher itself only reads labels/comments and spawns local processes — it does NOT modify source code or push to branches.

GitHub Authentication — USE APP TOKEN, NOT USER TOKEN

CRITICAL: All gh CLI calls MUST use a GitHub App token, NOT the default user token.

Before running any gh command, generate and export the App token using the shared script at scripts/gh-app-token.sh:

# Source the shared token generator
source "${PROJECT_DIR}/scripts/gh-app-token.sh"

# Generate token for the dispatcher's GitHub App
GH_TOKEN=$(get_gh_app_token "$DISPATCHER_APP_ID" "$DISPATCHER_APP_PEM" "$REPO_OWNER" "$REPO_NAME") || {
  echo "FATAL: Failed to generate GitHub App token" >&2
  exit 1
}
if [[ -z "$GH_TOKEN" ]]; then
  echo "FATAL: GitHub App token is empty" >&2
  exit 1
fi
export GH_TOKEN

The DISPATCHER_APP_PEM env var must point to the App's private key PEM file. If not set, provide the path explicitly.

This ensures all issue comments, label changes, and API calls appear as the configured GitHub App bot instead of a personal user account. The token is valid for 1 hour and scoped to the target repo only.

DO NOT skip this step. If GH_TOKEN is not set, gh will fall back to the user's personal token, which is incorrect.

Environment Variables

  • REPO: GitHub repo in owner/repo format (e.g., myorg/myproject)
  • PROJECT_DIR: Absolute path to the project root on the local machine
  • MAX_CONCURRENT: Max parallel tasks (default: 5)
  • MAX_RETRIES: Max dev retry attempts before marking issue as stalled (default: 3)
  • PROJECT_ID: Project identifier for log/PID files (default: project)
  • DISPATCHER_APP_ID: GitHub App ID for the dispatcher bot
  • DISPATCHER_APP_PEM: Path to the GitHub App private key PEM file

Local Dispatch Helper Script

CRITICAL: All task dispatches (dev-new, dev-resume, review) MUST use the helper script scripts/dispatch-local.sh in the project root's scripts/ directory. The script handles:

  • Background process spawning via nohup
  • Input validation (numeric issue numbers, safe session IDs)
  • Config loading from scripts/autonomous.conf

Usage:

# PROJECT_DIR is the absolute path to the project root

# For new dev task:
bash "$PROJECT_DIR/scripts/dispatch-local.sh" dev-new ISSUE_NUM

# For review task:
bash "$PROJECT_DIR/scripts/dispatch-local.sh" review ISSUE_NUM

# For resume dev task:
bash "$PROJECT_DIR/scripts/dispatch-local.sh" dev-resume ISSUE_NUM SESSION_ID

DO NOT construct dispatch commands manually. Always use the dispatch-local.sh script.

DO NOT commit or push code to the target repository. The dispatcher's role is strictly:

  1. Read issue labels and comments via GitHub API
  2. Update labels and post comments via GitHub API
  3. Dispatch local processes using the helper script

All code changes happen via the autonomous-dev/review scripts. The dispatcher MUST NOT modify source files or push to any branch (especially main).

Dispatch Logic

When triggered (cron every 5 minutes), execute the following steps IN ORDER.

Important: Maintain a JUST_DISPATCHED array to track issue numbers dispatched in the current cycle. This prevents Step 5 from false-positive stale detection on freshly dispatched processes whose PID files haven't been written yet.

# Initialize at the start of each dispatch cycle
JUST_DISPATCHED=()

Step 1: Check Concurrency

Count issues with labels in-progress OR reviewing:

ACTIVE=$(gh issue list --repo "$REPO" --state open --limit 100 \
  --label "autonomous" --json labels \
  -q '[.[] | select(.labels[].name | IN("in-progress","reviewing"))] | length')

If ACTIVE >= MAX_CONCURRENT (default 5), STOP. Log "Concurrency limit reached (ACTIVE/MAX_CONCURRENT)" and exit.

Step 2: Scan for New Tasks

Find issues with autonomous label but NO state labels:

gh issue list --repo "$REPO" --state open --limit 100 \
  --label "autonomous" --json number,labels,title \
  -q '[.[] | select(
    [.labels[].name] | (
      contains(["in-progress"]) or
      contains(["pending-review"]) or
      contains(["reviewing"]) or
      contains(["pending-dev"]) or
      contains(["stalled"]) or
      contains(["approved"])
    ) | not
  )]'

For each found issue (respecting concurrency limit):

1. Check Dependencies — before dispatching, read the issue body and look for a ## Dependencies section. Parse issue references (#N) from that section. For each referenced issue, check if it is closed:

# Extract dependency issue numbers from the issue body
DEPS=$(gh issue view ISSUE_NUM --repo "$REPO" --json body -q '.body' \
  | sed -n '/^## Dependencies/,/^## /p' \
  | grep -oP '#\K[0-9]+')

# Check if all dependencies are closed
BLOCKED=false
for DEP in $DEPS; do
  STATE=$(gh issue view "$DEP" --repo "$REPO" --json state -q '.state')
  if [ "$STATE" != "CLOSED" ]; then
    BLOCKED=true
    break
  fi
done

if [ "$BLOCKED" = true ]; then
  # Skip this issue — dependency not yet resolved
  continue
fi

If any dependency issue is still open, skip this issue silently (do not add labels or comment). It will be picked up in the next dispatch cycle after its dependencies are resolved.

2. Add in-progress label 3. Comment: Dispatching autonomous development... 4. Dispatch via helper script:

bash "$PROJECT_DIR/scripts/dispatch-local.sh" dev-new ISSUE_NUM

5. Track dispatched issue: JUST_DISPATCHED+=(ISSUE_NUM) 6. Re-check concurrency after each dispatch

Step 3: Scan for Review Tasks

Find issues with autonomous + pending-review (no reviewing):

gh issue list --repo "$REPO" --state open --limit 100 \
  --label "autonomous,pending-review" --json number,labels \
  -q '[.[] | select([.labels[].name] | contains(["reviewing"]) | not)]'

For each found issue (respecting concurrency limit): 1. Remove pending-review, add reviewing 2. Comment: Dispatching autonomous review... 3. Dispatch via helper script:

bash "$PROJECT_DIR/scripts/dispatch-local.sh" review ISSUE_NUM

4. Track dispatched issue: JUST_DISPATCHED+=(ISSUE_NUM)

Step 4: Scan for Pending-Dev (Resume)

Find issues with autonomous + pending-dev:

gh issue list --repo "$REPO" --state open --limit 100 \
  --label "autonomous,pending-dev" --json number,labels,comments

For each found issue (respecting concurrency limit):

1. Check retry count — before dispatching, count BOTH failed Agent Session Report (Dev) comments (exit code ≠ 0) AND dispatcher-detected crash comments. Only count failures that occurred after the last stalled→unstalled transition (i.e., after the most recent "Marking as stalled" comment). This ensures that removing the stalled label resets the retry counter. Successful dev completions (exit code 0) that were sent back by review do NOT count as retries:

# Find the timestamp of the last "Marking as stalled" comment (retry counter cutoff).
# If the issue was never stalled, use epoch (1970-01-01T00:00:00Z) to count all comments.
LAST_STALLED_AT=$(gh issue view ISSUE_NUM --repo "$REPO" --json comments \
  -q '[.comments[] | select(.body | test("Marking as stalled"))] | last | .createdAt // "1970-01-01T00:00:00Z"')

# Count failed agent session reports (only after last stalled cutoff)
AGENT_FAILURES=$(gh issue view ISSUE_NUM --repo "$REPO" --json comments \
  -q "[.comments[] | select((.createdAt > \"${LAST_STALLED_AT}\") and (.body | test(\"Agent Session Report \\\\(Dev\\\\)\")) and (.body | test(\"Exit code: 0\") | not))] | length")

# Count dispatcher-detected crashes (only after last stalled cutoff).
# The regex is anchored on explicit Step 5 crash preambles. A dev process that
# exits after producing a PR is forward progress (handed to review as
# "Dev process exited (PR found)") and MUST NOT match this regex — do not add
# a broad `crashed` or `exited` alternative here.
DISPATCHER_CRASHES=$(gh issue view ISSUE_NUM --repo "$REPO" --json comments \
  -q "[.comments[] | select((.createdAt > \"${LAST_STALLED_AT}\") and (.body | test(\"Task appears to have crashed \\\\(no PR found\\\\)|process not found\")))] | length")

RETRY_COUNT=$((AGENT_FAILURES + DISPATCHER_CRASHES))
MAX_RETRIES="${MAX_RETRIES:-3}"

if [ "$RETRY_COUNT" -ge "$MAX_RETRIES" ]; then
  # Issue has exceeded retry limit — mark as stalled
  gh issue edit ISSUE_NUM --repo "$REPO" \
    --remove-label "pending-dev" \
    --add-label "stalled"
  gh issue comment ISSUE_NUM --repo "$REPO" \
    --body "Issue has exceeded the maximum retry limit ($MAX_RETRIES failed attempts: $AGENT_FAILURES agent failures + $DISPATCHER_CRASHES dispatcher-detected crashes). Marking as stalled. @${REPO_OWNER} please investigate manually."
  continue
fi

If combined retry count exceeds MAX_RETRIES (default 3), add stalled label, remove pending-dev, post a comment, and skip this issue. When a user removes the stalled label to re-dispatch, the retry counter automatically resets because only crashes after the latest "Marking as stalled" comment are counted.

2. Extract latest dev session ID from issue comments (search for Dev Session ID: — do NOT match Review Session ID:):

SESSION_ID=$(gh issue view ISSUE_NUM --repo "$REPO" --json comments \
  -q '[.comments[].body | capture("Dev Session ID: `(?P<id>[a-zA-Z0-9_-]+)`"; "g") | .id] | last // empty')

3. Remove pending-dev, add in-progress 4. Comment: Resuming development (session: SESSION_ID)... 5. Dispatch via helper script:

bash "$PROJECT_DIR/scripts/dispatch-local.sh" dev-resume ISSUE_NUM SESSION_ID

6. Track dispatched issue: JUST_DISPATCHED+=(ISSUE_NUM)

Step 5: Stale Detection

Find issues with in-progress or reviewing that may be stuck.

Skip freshly dispatched issues: Before checking any issue, verify it was NOT dispatched in the current cycle. Issues in JUST_DISPATCHED must be skipped — their PID files may not exist yet.

# Skip issues dispatched in this cycle
if [[ " ${JUST_DISPATCHED[*]} " == *" ISSUE_NUM "* ]]; then
  # Skip — just dispatched this cycle, PID file may not exist yet
  continue
fi

For each remaining issue, check if the agent process is still alive locally. Use the correct PID file prefix based on the issue's current label:

  • in-progress issues use PID file: /tmp/agent-${PROJECT_ID}-issue-ISSUE_NUM.pid
  • reviewing issues use PID file: /tmp/agent-${PROJECT_ID}-review-ISSUE_NUM.pid
# For in-progress issues:
kill -0 $(cat /tmp/agent-${PROJECT_ID}-issue-ISSUE_NUM.pid 2>/dev/null) 2>/dev/null && echo ALIVE || echo DEAD

# For reviewing issues:
kill -0 $(cat /tmp/agent-${PROJECT_ID}-review-ISSUE_NUM.pid 2>/dev/null) 2>/dev/null && echo ALIVE || echo DEAD

If DEAD and issue still has in-progress, check whether a PR exists before deciding the transition:

PR_EXISTS=$(gh pr list --repo "$REPO" --state open --json number,body \
  -q "[.[] | select(.body | test(\"#ISSUE_NUM[^0-9]\") or test(\"#ISSUE_NUM$\"))] | length")

if [ "$PR_EXISTS" -gt 0 ]; then
  # PR exists — forward progress. Review agent can assess the work.
  # Comment: "Dev process exited (PR found). Moving to pending-review for assessment."
  # Remove `in-progress`, add `pending-review`
  # (Wording avoids "crashed" so the Step 4 retry-counter regex does not match it.)
else
  # No PR — dev agent didn't finish, retry development
  # Comment: "Task appears to have crashed (no PR found). Moving to pending-dev for retry."
  # Remove `in-progress`, add `pending-dev`
fi

If DEAD and issue still has reviewing:

  1. Comment: Review process appears to have crashed. Moving to pending-dev for retry.
  2. Remove reviewing, add pending-dev

Cron Configuration (OpenClaw)

openclaw cron add \
  --name "Autonomous Dispatcher" \
  --cron "*/5 * * * *" \
  --session isolated \
  --message "Run the autonomous-dispatcher skill. Check GitHub issues and dispatch tasks." \
  --announce

Label Definitions

LabelColorDescription
autonomous#0E8A16Issue should be processed by autonomous pipeline
in-progress#FBCA04Agent is actively developing
pending-review#1D76DBDevelopment complete, awaiting review
reviewing#5319E7Agent is actively reviewing
pending-dev#E99695Review failed, needs more development
approved#0E8A16Review passed. PR merged (or awaiting manual merge if no-auto-close present)
no-auto-close#d4c5f9Used with autonomous — skip auto-merge after review passes, requires manual approval
stalled#B60205Issue exceeded max retry attempts; requires manual investigation

Model Strategy

TaskModelRationale
Development (autonomous-dev.sh)Opus (default)Complex coding, architecture decisions
Review (autonomous-review.sh)Sonnet (--model sonnet)Checklist verification, avoids Opus quota contention

平台分布

Codex

34.82%
按下载量换算149

Claude

28.44%
按下载量换算122

Cursor

18.87%
按下载量换算81

Gemini CLI

7.93%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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