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working-tree-governor工作树调控器

Agent Skill

working-tree-governor 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

2,258

周安装

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GitHub Stars

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下载量

791
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:working-tree-governor(工作树调控器)
来源仓库:https://github.com/lobsterquant/working-tree-governor
安装命令:
openclaw skills install working-tree-governor
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。

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openclaw skills install working-tree-governor

简介

工作树调控器用于管理肮脏的 git 工作树,支持噪音分类和暂存控制。

  • 适合需要整理代码变更或清理开发环境的场景。
  • 提供运行时噪音识别和暂存范围验证功能。working-tree-governor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前需确认是否会触发文件操作或网络访问。
  • 建议参考原始 README 了解具体命令和限制条件。

SKILL.md

name
working-tree-governor
description
Govern dirty git working trees by classifying runtime noise vs real source changes, defaulting to selective staging, verifying staged scope, and asking the operator when scope is ambiguous.
version
1.0.0
author
Hermes Agent
license
MIT

Working-tree-governor

Use when a repo is dirty and you need to commit safely without dragging runtime noise, logs, cache, state files, or generated artifacts into history.

This skill exists for the common Hermes failure mode where git status becomes unreadable because code, tests, logs, runtime state, forensics, cached binaries, and generated outputs are all mixed together.

The goal is not cleanliness theater. The goal is to preserve signal and produce small, reviewable commits.

When to trigger

Load this skill when any of these are true:

  • the user asks to commit while the repo is dirty
  • git status --short shows mixed code plus logs/state/cache/output noise
  • more than ~25 changed or untracked files
  • more than ~8 source or test files are modified
  • the next action is risky: restart, deploy, cutover, refactor, or live-sensitive change
  • runtime-critical files are dirty in a tree already full of noise

Treat these as high-risk triggers:

  • more than 100 changed/untracked files
  • live runtime files dirty and HEAD stale
  • planned restart/deploy while mixed dirt is still present
  • tracked state/log/output files continuously mutating and obscuring code changes

Core principle

Never use git add . in this situation. Never default to stash for this situation. Default to selective staging. If confidence is low, ask the operator before commit.

Discovery workflow

Start read-only.

Run:

git status --short
git diff --name-only
git diff --cached --name-only
git rev-parse HEAD
git log -1 --format='%H %ad %s' --date=iso

Optional when useful:

git diff --stat
git diff -- <path>

Then bucket every changed path.

Buckets

Bucket A — core code and tests

Examples:

  • src/**/*.py
  • tests/**/*.py
  • service scripts
  • core config templates
  • startup scripts
  • bridge/runtime code

Default action: include_now

Bucket B — docs and plans

Examples:

  • docs/**
  • selected *.md
  • intentionally authored design notes

Default action: usually needs_operator_decision unless clearly part of the requested commit

Bucket C — runtime state

Examples:

  • shared/risk/*.json
  • shared/reports/strategy_pnl.json
  • shared/risk/open_positions.json
  • hermes_state.json

Default action: preserve_but_exclude

Bucket D — generated outputs and artifacts

Examples:

  • results/**
  • backtest outputs
  • parquet / duckdb
  • generated summaries

Default action: preserve_but_exclude

Bucket E — logs

Examples:

  • *.log
  • *.jsonl
  • streamer.log*
  • monitor logs
  • cron logs

Default action: ignore_for_now or preserve_but_exclude

Bucket F — caches and binaries

Examples:

  • __pycache__/
  • *.pyc
  • .metaapi/*.bin

Default action: ignore_for_now

Bucket G — forensics and snapshots

Examples:

  • shared/forensics/**
  • *.bak-*
  • incident snapshots

Default action: preserve_but_exclude

Bucket H — unknown

Anything not confidently classifiable.

Default action: needs_operator_decision

Heuristics

High-confidence exclude

Exclude by default when path matches patterns like:

  • **/__pycache__/**
  • **/*.pyc
  • shared/hermes-acp/*.log
  • shared/hermes-acp/*_log.jsonl
  • shared/reports/*.jsonl
  • shared/risk/*.json
  • results/*.json
  • memory/**/*.md
  • src/.metaapi/*.bin
  • shared/forensics/**
  • *.bak
  • rotated logs / archives

High-confidence include

Include by default when path matches patterns like:

  • src/**/*.py
  • tests/**/*.py
  • skill files
  • fixtures under tests/fixtures/**

Important exception

Do not exclude real code just because it lives beside noisy runtime files. For example, shared/hermes-acp/*.py may be real source code and must be inspected, not auto-excluded.

Commit-governor flow

1. Summarize the tree

Report:

  • total dirty file count
  • bucket counts
  • runtime-critical files dirty
  • likely risk level: low / moderate / high / critical

2. Infer requested commit scope

Use the user’s requested commit intent to infer the include set. Examples:

  • execution-truth work → shared/hermes-acp/execution_truth*.py, matching tests, matching fixtures
  • streamer fix → exact src/hermes/streamer.py plus targeted tests

Do not include unrelated source changes automatically just because they are code.

3. Stage selectively

Stage only the inferred relevant files. Never stage all dirty files.

Use:

git add <explicit paths>

4. Verify staged scope before commit

Always run:

git diff --cached --name-only
git diff --cached --stat
git status --short

Verify explicitly:

  • no logs staged
  • no runtime state staged
  • no cache/binaries staged
  • no unrelated subsystem staged
  • staged paths match the requested commit intent

If suspicious files appear, unstage them or stop.

5. Conventional commit message

Prefer these prefixes:

  • feat:
  • fix:
  • refactor:
  • test:
  • docs:
  • chore:

If the user’s message lacks a valid prefix, suggest a corrected version before commit.

6. Operator approval gate

Do not auto-commit if any of these are true:

  • ambiguous file group present
  • multiple unrelated subsystems staged
  • runtime-sensitive file included unexpectedly
  • a Bucket H file would be committed
  • the staged set is larger than expected for the request

In those cases, ask a short scope question and wait.

7. Commit and post-commit verification

After commit, run:

git show --stat --oneline HEAD
git diff --cached --name-only
git status --short

Report:

  • commit hash
  • files included
  • notable dirty files intentionally left out
  • whether runtime noise remains uncommitted

Risk policy

Low risk

Small tree, mostly one category, no runtime-critical dirt. Proceed normally but still summarize buckets.

Moderate risk

Mixed categories, some core code dirty, risky action coming. Recommend selective baseline before continuing.

High risk

Large mixed tree, core runtime dirty, noise obscures real work. Switch to hygiene-first mode before more feature work.

Critical risk

Huge mixed tree plus stale HEAD plus runtime-critical dirt plus pending restart/deploy. Strongly recommend immediate selective preservation before any risky next step.

Edge cases

Real code in noisy directories

Example:

  • shared/hermes-acp/execution_truth_slice.py

This is real code. Inspect it. Do not auto-exclude it because of the directory.

Fixtures that look like logs

Example:

  • tests/fixtures/execution_truth_streamer_2026_04_10_sample.log

This is a committed test fixture, not runtime noise.

Runtime-sensitive source files

Example:

  • src/hermes/streamer.py

These require stricter operator confirmation before commit.

Already-staged junk

If bad paths are already staged, verify and unstage before commit instead of proceeding.

Fail-safe rule

If confidence is not high, do not commit. Show:

  • candidate include list
  • suspicious/ambiguous list
  • recommended commit message
  • one short operator question

The fail-safe is simple: when uncertain, ask before commit.

Output style

When using this skill, report in this order:

  1. dirty-tree summary
  2. bucket classification
  3. recommended include-now list
  4. recommended exclude/preserve list
  5. staged verification
  6. commit recommendation or operator question

What success looks like

The skill is successful when Hermes consistently does this:

  • detects dirty tree risk early
  • separates runtime noise from real changes
  • stages only the requested source/test/config files
  • verifies staged scope before commit
  • uses conventional commit messages
  • avoids dragging runtime junk into history
  • asks the operator whenever scope is not obvious

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.8%
按下载量换算584

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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