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Agent Skill · 开发

disinto(disinto 开发)

disinto 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

disinto 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 7,964。

总安装 3,420周安装 137GitHub Stars 公开资料未说明下载 1,107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
MIT-0
版本
0.1.1

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:disinto(disinto 开发)
来源仓库:https://github.com/johba37/disinto
安装命令:
openclaw skills install disinto
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install disinto

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

管理 disinto 自主代码工厂的运营流程。支持提交 Issue、阅读代理日志与检查 CI 状态。适用于团队协作与自动化流水线维护。disinto 属于开发类 Skill,可作为该场景下的辅助能力补充。需 GitHub 仓库写入权限以操作 Issue 与 PR。建议定期审计日志与 CI 运行结果。

适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 OpenClaw;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 openclaw skills install disinto;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

disinto 怎么安装?

在终端执行 openclaw skills install disinto。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

disinto 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

disinto 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。

disinto 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

disinto 用的人多吗?

公开数据是累计安装 3,420 次,近一周安装 137 次,下载 1,107 次。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。

disinto 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

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。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、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。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
disinto

disinto 开发 · 本页

3,420—接触敏感数据MIT-0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

name
disinto
description
>-
license
AGPL-3.0
metadata
author
johba
version
0.1.1
env_vars
required
optional
tools

Disinto Factory Skill

Disinto is an autonomous code factory with nine agents that implement issues, review PRs, plan from a vision, predict risks, groom the backlog, gate actions, and assist the founder — all driven by cron and Claude.

Required environment

VariablePurpose
FORGE_TOKENForgejo/Gitea API token with repo scope
FORGE_APIBase API URL, e.g. https://forge.example/api/v1/repos/owner/repo
PROJECT_REPO_ROOTAbsolute path to the checked-out disinto repository

Optional:

VariablePurpose
WOODPECKER_SERVERWoodpecker CI base URL (for pipeline queries)
WOODPECKER_TOKENWoodpecker API bearer token
WOODPECKER_REPO_IDNumeric repo ID in Woodpecker

The nine agents

AgentRoleRuns via
DevPicks backlog issues, implements in worktrees, opens PRsdev/dev-poll.sh (cron)
ReviewReviews PRs against conventions, approves or requests changesreview/review-poll.sh (cron)
GardenerGrooms backlog: dedup, quality gates, dust bundling, stale cleanupgardener/gardener-run.sh (cron 0,6,12,18 UTC)
PlannerTracks vision progress, maintains prerequisite tree, files constraint issuesplanner/planner-run.sh (cron daily 07:00 UTC)
PredictorChallenges claims, detects structural risks, files predictionspredictor/predictor-run.sh (cron daily 06:00 UTC)
SupervisorMonitors health (RAM, disk, CI, agents), auto-fixes, escalatessupervisor/supervisor-run.sh (cron */20)
ActionExecutes operational tasks dispatched by planner via formulasaction/action-poll.sh (cron)
VaultGates dangerous actions, manages resource procurementvault/vault-poll.sh (cron)
ExecInteractive executive assistant reachable via Matrixexec/exec-session.sh

How agents interact

Planner ──creates-issues──▶ Backlog ◀──grooms── Gardener
   │                           │
   │                           ▼
   │                     Dev (implements)
   │                           │
   │                           ▼
   │                     Review (approves/rejects)
   │                           │
   │                           ▼
   ▼                        Merged
Predictor ──challenges──▶ Planner (triages predictions)
Supervisor ──monitors──▶ All agents (health, escalation)
Vault ──gates──▶ Action, Dev (dangerous operations)
Exec ──delegates──▶ Issues (never writes code directly)

Issue lifecycle

backlog → in-progress → PR → CI → review → merge → closed.

Key labels: backlog, priority, in-progress, blocked, underspecified, tech-debt, vision, action, prediction/unreviewed.

Issues declare dependencies in a ## Dependencies section listing #N references. Dev-poll only picks issues whose dependencies are all closed.

Available scripts

  • scripts/factory-status.sh — Show agent status, open issues, and CI

pipeline state. Pass --agents, --issues, or --ci for specific sections.

  • scripts/file-issue.sh — Create an issue on the forge with proper labels

and formatting. Pass --title, --body, and optionally --labels.

  • scripts/read-journal.sh — Read agent journal entries. Pass agent name

(planner, supervisor, exec) and optional --date YYYY-MM-DD.

Common workflows

1. Check factory health

bash scripts/factory-status.sh

This shows: which agents are active, recent open issues, and CI pipeline status. Use --agents for just the agent status section.

2. Read what the planner decided today

bash scripts/read-journal.sh planner

Returns today's planner journal: predictions triaged, prerequisite tree updates, top constraints, issues created, and observations.

3. File a new issue

bash scripts/file-issue.sh --title "fix: broken auth flow" \
  --body "$(cat scripts/../templates/issue-template.md)" \
  --labels backlog

Or generate the body inline — the template shows the expected format with acceptance criteria and affected files sections.

4. Check the dependency graph

python3 "${PROJECT_REPO_ROOT}/lib/build-graph.py" \
  --project-root "${PROJECT_REPO_ROOT}" \
  --output /tmp/graph-report.json
cat /tmp/graph-report.json | jq '.analyses'

The graph builder parses VISION.md, the prerequisite tree, formulas, and open issues. It detects: orphan issues (not referenced), dependency cycles, disconnected clusters, bottleneck nodes, and thin objectives.

5. Query a specific CI pipeline

bash scripts/factory-status.sh --ci

Or query Woodpecker directly:

curl -s -H "Authorization: Bearer ${WOODPECKER_TOKEN}" \
  "${WOODPECKER_SERVER}/api/repos/${WOODPECKER_REPO_ID}/pipelines?per_page=5" \
  | jq '.[] | {number, status, commit: .commit[:8], branch}'

6. Read and interpret VISION.md progress

Read VISION.md at the repo root for the full vision. Then cross-reference with the prerequisite tree:

cat "${PROJECT_REPO_ROOT}/planner/prerequisite-tree.md"

The prerequisite tree maps vision objectives to concrete issues. Items marked [x] are complete; items marked [ ] show what blocks progress. The planner updates this daily.

Gotchas

  • Single-threaded pipeline: only one issue is in-progress per project at a

time. Don't file issues expecting parallel work.

  • Secrets via env vars only: never embed secrets in issue bodies, PR

descriptions, or comments. Use $VAR_NAME references.

  • Formulas are not skills: formulas in formulas/ are TOML issue templates

for multi-step agent tasks. Skills teach assistants; formulas drive agents.

  • Predictor journals: the predictor does not write journal files. Its memory

lives in prediction/unreviewed and prediction/actioned issues.

  • State files: agent activity is tracked via state/.{agent}-active files.

These are presence files, not logs.

  • ShellCheck required: all .sh files must pass ShellCheck. CI enforces this.

平台分布

OpenClaw

81.34%
按下载量换算900

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

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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