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Agent Skill · 研究检索

desloppify(desloppify 搜索)

desloppify 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。

desloppify 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,权限为只读;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 54,235。

总安装 514周安装 21GitHub Stars 2,783下载 166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:desloppify(desloppify 搜索)
来源仓库:https://github.com/peteromallet/desloppify
仓库路径:skills/desloppify
安装命令:
npx skills add https://github.com/peteromallet/desloppify --skill desloppify
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/peteromallet/desloppify --skill desloppify

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。

该技能最大化严格评分,通过扫描-计划-执行-重扫循环进行深度重构。不区分任务大小,细致处理每个文件,避免表面修复而忽略深层问题。适用于大型项目或多模块目录,支持 monorepo 结构下的协同优化。安装前需确认工作区结构与工具链,注意可能触发大规模文件修改,建议备份后使用。

desloppify 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/desloppify

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/peteromallet/desloppify --skill desloppify;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

desloppify 怎么安装?

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

desloppify 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。

desloppify 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

desloppify 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。

desloppify 用的人多吗?

公开数据是累计安装 514 次,近一周安装 21 次,下载 166 次,GitHub 2,783 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。

desloppify 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 来源仓库有 2,783 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 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
desloppify

desloppify 搜索 · 本页

5142,783只读未明确未通过

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

Desloppify

1. Your Job

Maximise the strict score honestly. Your main cycle: scan → plan → execute → rescan. Follow the scan output's INSTRUCTIONS FOR AGENTS — don't substitute your own analysis.

Don't be lazy. Do large refactors and small detailed fixes with equal energy. If it takes touching 20 files, touch 20 files. If it's a one-line change, make it. No task is too big or too small — fix things properly, not minimally.

2. The Workflow

Three phases, repeated as a cycle.

Monorepos and multi-project directories

If the workspace contains multiple programs (e.g., frontend + backend in sibling folders), scan each one separately — do not scan the parent directory:

desloppify --lang typescript scan --path ./frontend
desloppify --lang python scan --path ./backend

Each --path target should be a single coherent project. Scanning a parent that contains multiple programs mixes state and path context, producing unreliable results.

Phase 1: Scan and review — understand the codebase

desloppify scan --path .       # analyse the codebase
desloppify status              # check scores — are we at target?

After scanning, always run desloppify next — it tells you exactly what to do, in order. Don't interpret the scan output yourself or ask the user what to do. Just run next and follow its instructions.

The scan will tell you if subjective dimensions need review. Follow its instructions. To trigger a review manually:

desloppify review --prepare    # then follow your runner's review workflow

Phase 2: Plan — decide what to work on

After reviews, triage stages and plan creation appear in the execution queue surfaced by next. Complete them in order — next tells you what each stage expects in the --report:

desloppify next                                        # shows the next execution workflow step
desloppify plan triage --stage observe --report "themes and root causes..."
desloppify plan triage --stage reflect --report "comparison against completed work..."
desloppify plan triage --stage organize --report "summary of priorities..."
desloppify plan triage --complete --strategy "execution plan..."

For automated triage: desloppify plan triage --run-stages --runner codex (Codex) or --runner claude (Claude). Options: --only-stages, --dry-run, --stage-timeout-seconds.

Then shape the queue. The plan shapes everything next gives you — next is the execution queue, not the full backlog. Don't skip this step.

desloppify plan                          # see the living plan details
desloppify plan queue                    # compact execution queue view
desloppify plan reorder <pat> top        # reorder — what unblocks the most?
desloppify plan cluster create <name>    # group related issues to batch-fix
desloppify plan focus <cluster>          # scope next to one cluster
desloppify plan skip <pat>              # defer — hide from next

Phase 3: Execute — grind the queue to completion

Trust the plan and execute. Don't rescan mid-queue — finish the queue first.

Branch first. Create a dedicated branch — never commit health work directly to main:

git checkout -b desloppify/code-health    # or desloppify/<focus-area>
desloppify config set commit_pr 42        # link a PR for auto-updated descriptions

The loop:

# 1. Get the next item from the execution queue
desloppify next

# 2. Fix the issue in code

# 3. Resolve it (next shows the exact command including required attestation)

# 4. When you have a logical batch, commit and record
git add <files> && git commit -m "desloppify: fix 3 deferred_import findings"
desloppify plan commit-log record      # moves findings uncommitted → committed, updates PR

# 5. Push periodically
git push -u origin desloppify/code-health

# 6. Repeat until the queue is empty

Score may temporarily drop after fixes — cascade effects are normal, keep going. If next suggests an auto-fixer, run desloppify autofix <fixer> --dry-run to preview, then apply.

When the queue is clear, go back to Phase 1. New issues will surface, cascades will have resolved, priorities will have shifted. This is the cycle.

3. Reference

Key concepts

  • Tiers: T1 auto-fix → T2 quick manual → T3 judgment call → T4 major refactor.
  • Auto-clusters: related findings are auto-grouped in next. Drill in with next --cluster <name>.
  • Zones: production/script (scored), test/config/generated/vendor (not scored). Fix with zone set.
  • Wontfix cost: widens the lenient↔strict gap. Challenge past decisions when the gap grows.

Scoring

Overall score = 25% mechanical + 75% subjective.

  • Mechanical (25%): auto-detected issues — duplication, dead code, smells, unused imports, security. Fixed by changing code and rescanning.
  • Subjective (75%): design quality review — naming, error handling, abstractions, clarity. Starts at 0% until reviewed. The scan will prompt you when a review is needed.
  • Strict score is the north star: wontfix items count as open. The gap between overall and strict is your wontfix debt.
  • Score types: overall (lenient), strict (wontfix counts), objective (mechanical only), verified (confirmed fixes only).

Reviews

Four paths to get subjective scores:

  • Local runner (Codex): desloppify review --run-batches --runner codex --parallel --scan-after-import — automated end-to-end.
  • Local runner (Claude): desloppify review --prepare → launch parallel subagents → desloppify review --import merged.json — see skill doc overlay for details.
  • Cloud/external: desloppify review --external-start --external-runner claude → follow session template → --external-submit.
  • Manual path: desloppify review --prepare → review per dimension → desloppify review --import file.json.

Batch output vs import filenames: Individual batch outputs from subagents must be named batch-N.raw.txt (plain text/JSON content, .raw.txt extension). The .json filenames in --import merged.json or --import findings.json refer to the final merged import file, not individual batch outputs. Do not name batch outputs with a .json extension.

  • Import first, fix after — import creates tracked state entries for correlation.
  • Target-matching scores trigger auto-reset to prevent gaming. Use the blind-review workflow described in your agent overlay doc (e.g. docs/CLAUDE.md, docs/HERMES.md).
  • Even moderate scores (60-80) dramatically improve overall health.
  • Stale dimensions auto-surface in next — just follow the queue.

Integrity rules: Score from evidence only — no prior chat context, score history, or target-threshold anchoring. When evidence is mixed, score lower and explain uncertainty. Assess every requested dimension; never drop one.

Review output format

Return machine-readable JSON for review imports. For --external-submit, include session from the generated template:

{
  "session": {
    "id": "<session_id_from_template>",
    "token": "<session_hmac_from_template>"
  },
  "assessments": {
    "<dimension_from_query>": 0
  },
  "findings": [
    {
      "dimension": "<dimension_from_query>",
      "identifier": "short_id",
      "summary": "one-line defect summary",
      "related_files": ["relative/path/to/file.py"],
      "evidence": ["specific code observation"],
      "suggestion": "concrete fix recommendation",
      "confidence": "high|medium|low"
    }
  ]
}

findings MUST match query.system_prompt exactly (including related_files, evidence, and suggestion). Use "findings": [] when no defects found. Import is fail-closed: invalid findings abort unless --allow-partial is passed. Assessment scores are auto-applied from trusted internal or cloud session imports. Legacy --attested-external remains supported.

Import paths
  • Robust session flow (recommended): desloppify review --external-start --external-runner claude → use generated prompt/template → run printed --external-submit command.
  • Durable scored import (legacy): desloppify review --import findings.json --attested-external --attest "I validated this review was completed without awareness of overall score and is unbiased."
  • Findings-only fallback: desloppify review --import findings.json
Reviewer agent prompt

Runners that support agent definitions (Cursor, Copilot, Gemini) can create a dedicated reviewer agent. Use this system prompt:

You are a code quality reviewer. You will be given a codebase path, a set of
dimensions to score, and what each dimension means. Read the code, score each
dimension 0-100 from evidence only, and return JSON in the required format.
Do not anchor to target thresholds. When evidence is mixed, score lower and
explain uncertainty.

See your editor's overlay section below for the agent config format.

Plan commands

desloppify plan reorder <cluster> top       # move all cluster members at once
desloppify plan reorder <a> <b> top        # mix clusters + findings in one reorder
desloppify plan reorder <pat> before -t X  # position relative to another item/cluster
desloppify plan cluster reorder a,b top    # reorder multiple clusters as one block
desloppify plan resolve <pat>              # mark complete
desloppify plan reopen <pat>               # reopen
desloppify backlog                          # broader non-execution backlog

Commit tracking

desloppify plan commit-log                      # see uncommitted + committed status
desloppify plan commit-log record               # record HEAD commit, update PR description
desloppify plan commit-log record --note "why"  # with rationale
desloppify plan commit-log record --only "smells::*"  # record specific findings only
desloppify plan commit-log history              # show commit records
desloppify plan commit-log pr                   # preview PR body markdown
desloppify config set commit_tracking_enabled false  # disable guidance

After resolving findings as fixed, the tool shows uncommitted work, committed history, and a suggested commit message. After committing externally, run record to move findings from uncommitted to committed and auto-update the linked PR description.

Agent directives

Directives are messages shown to agents at lifecycle phase transitions — use them to switch models, set constraints, or give context-specific instructions.

desloppify directives                     # show all configured directives
desloppify directives set execute "Switch to claude-sonnet-4-6. Focus on speed."
desloppify directives set triage "Switch to claude-opus-4-6. Read carefully."
desloppify directives set review "Use blind packet. Do not anchor on previous scores."
desloppify directives unset execute       # remove a directive

Available phases: execute, review, triage, workflow, scan (and fine-grained variants like review_initial, triage_postflight, etc.).

Quick reference

desloppify next --count 5                         # top 5 execution items
desloppify next --cluster <name>                  # drill into a cluster
desloppify backlog --count 5                      # top 5 backlog items outside execution
desloppify show <pattern>                         # filter by file/detector/ID
desloppify show --status open                     # all open findings
desloppify plan skip --permanent "<id>" --note "reason" --attest "..." # accept debt
desloppify exclude <path>                         # exclude a directory from scanning
desloppify config show                            # show all config including excludes
desloppify scan --path . --reset-subjective       # reset subjective baseline to 0

4. Fix Tool Issues Upstream

When desloppify itself appears wrong or inconsistent — a bug, a bad detection, a crash, confusing output — fix it and open a PR. If you can't confidently fix it, file an issue instead.

Fix and PR (preferred)

Clone the tool repo to a temp directory, make the fix there, and verify it works against the project you're scanning before pushing.

git clone https://github.com/peteromallet/desloppify.git /tmp/desloppify-fix
cd /tmp/desloppify-fix
git checkout -b fix/<short-description>

Make your changes, then run the test suite and verify the fix against the original project:

python -m pytest desloppify/tests/ -q
python -m desloppify scan --path <project-root>   # the project you were scanning

Once it looks good, push and open a PR:

git add <files> && git commit -m "fix: <what and why>"
git push -u origin fix/<short-description>
gh pr create --title "fix: <short description>" --body "$(cat <<'EOF'
## Problem
<what went wrong — include the command and output>

## Fix
<what you changed and why>
EOF
)"

Clean up after: rm -rf /tmp/desloppify-fix

File an issue (fallback)

If the fix is unclear or the change needs discussion, open an issue at https://github.com/peteromallet/desloppify/issues with a minimal repro: command, path, expected output, actual output.

Prerequisite

command -v desloppify >/dev/null 2>&1 && echo "desloppify: installed" || echo "NOT INSTALLED — run: uvx --from git+https://github.com/peteromallet/desloppify.git desloppify"

If uvx is not available: pip install desloppify[full] && desloppify setup

平台分布

Codex

38.91%
按下载量换算65

Claude

31%
按下载量换算51

Cursor

18.22%
按下载量换算30

Gemini CLI

9.12%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

未通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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