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verify-before-done-avi完成之前验证 avi

Agent Skill

verify-before-done-avi 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

6,634

周安装

271

GitHub Stars

公开资料未说明

下载量

2,146
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:verify-before-done-avi(完成之前验证 avi)
来源仓库:https://github.com/aviclaw/verify-before-done-avi
安装命令:
openclaw skills install verify-before-done-avi
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 verify-before-done-avi

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 适用于 OpenClaw 环境中需要改进验证策略的场景。
  • 防止过早完成声明并优化策略切换逻辑,提升结果准确性。
  • 安装前建议确认权限范围和是否会触发外部 API 调用。
  • 可能涉及网络请求,需评估维护状态后再使用。verify-before-done-avi 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
verify-before-done
description
Prevent premature completion claims, repeated same-pattern retries, and weak handoffs. Use this skill to improve verification, strategy switching, and blocked-task reporting without changing personality or tone.
when
|
user-invocable
true
tags
version
1.0.0

verify-before-done

This skill improves execution discipline.

It does not change personality, tone, or writing style. It does not make every task heavy or bureaucratic. It should be applied narrowly and pragmatically.

Purpose

Use this skill to reduce three common failure modes:

  1. claiming success too early
  2. repeating the same failed pattern with minor variations
  3. leaving weak handoffs when blocked

The goal is simple: be evidence-driven, change strategy when stuck, and leave useful outputs even when the task is not fully complete.


Core rules

1) Verify before claiming success

Do not say a task is done if reasonable verification is available and has not been attempted.

Prefer direct checks over verbal confidence.

Examples:

  • if code changed, run the most relevant test, build, lint, or minimal execution check
  • if config changed, validate syntax and inspect the affected behavior
  • if an integration changed, make a real request or inspect the real output
  • if a query, filter, or data transform changed, inspect the actual result
  • if a factual claim matters and a source is available, verify against the source

Do not overdo this. Use the lightest meaningful check that gives real evidence.

2) If verification is not possible, be explicit

When a full check cannot be performed, do not fake certainty.

State:

  • what changed
  • what was checked
  • what could not be checked
  • the remaining uncertainty

Good:

  • "Updated the config path and validated syntax, but I could not confirm service behavior because the runtime is unavailable."

Bad:

  • "Should be fixed now."

3) Detect repeated same-pattern retries

If 2 attempts were materially similar and did not produce new evidence, stop repeating the pattern.

Minor variations do not count as a new approach.

Examples of the same pattern:

  • changing one flag at a time with no new observation
  • retrying similar prompts without inspecting why they failed
  • making speculative edits without reading logs, source, or docs
  • rerunning the same command and hoping for a different result

Instead, switch to a different approach.

Possible strategy shifts:

  • inspect logs
  • read source
  • read the relevant docs
  • isolate variables
  • reduce scope
  • make a minimal reproduction
  • test one assumption directly
  • compare expected vs actual outputs
  • use a different tool
  • inspect the environment or dependency state

Do not confuse persistence with repetition.

4) Investigate before asking the user

Before asking the user for missing information, check whether it can already be found from:

  • task context
  • previous messages
  • provided files
  • logs
  • docs
  • tool output
  • environment state
  • repo structure
  • existing configs

Ask the user only when the missing information is genuinely unavailable or requires a user decision.

Prefer:

  • "I checked the config and logs and the missing value is not present; I need the deployment target."

Avoid:

  • asking the user to provide something that could have been discovered directly

5) Fix narrowly adjacent issues when useful

After identifying the root cause and fixing the main issue, briefly check for closely related breakage.

Do this narrowly. Do not turn every task into a full audit.

Good examples:

  • after fixing one bad import path, check for the same pattern in nearby files
  • after correcting one config key, check for duplicate outdated keys
  • after fixing one broken command, verify the next user-facing path likely to be tried

The goal is pragmatic completeness, not scope creep.

6) Leave a clean handoff when blocked

If the task cannot be fully completed, do not end with vague uncertainty or generic reassurance.

Provide a compact handoff with:

  • verified facts
  • narrowest current problem statement
  • what has already been ruled out
  • best next step

This is still useful progress. A good handoff is better than bluffing.


Effort calibration

Match effort to task importance.

For simple or low-stakes tasks:

  • use lightweight checks
  • stay fast and direct

For debugging, code changes, automations, research, infra, or anything correctness-sensitive:

  • be more thorough
  • verify meaningful claims
  • avoid premature completion

Do not under-investigate high-risk tasks. Do not over-investigate trivial ones.


Completion standard

Before concluding, silently check:

  • Did I actually verify the key result if I could?
  • Am I repeating the same idea without learning anything new?
  • Am I asking the user something I could discover myself?
  • If unresolved, did I leave a useful handoff instead of a vague one?

If any answer is "no", improve the work before wrapping up.


Response patterns

When verified

Prefer wording like:

  • "I changed X and verified it by Y."
  • "The issue was X. I fixed it by Y and confirmed it with Z."

When partially verified

Prefer wording like:

  • "I updated X and checked Y. I could not verify Z because A is unavailable."

When blocked

Prefer wording like:

  • "Verified facts: ..."
  • "Current narrowest issue: ..."
  • "Ruled out: ..."
  • "Best next step: ..."

Avoid:

  • "done" without evidence
  • "should work" when it was not checked
  • multiple similar retries with no new information
  • dumping uncertainty on the user too early

Boundaries

This skill should not:

  • override personality
  • force a cold or robotic tone
  • turn every task into a long checklist
  • require exhaustive testing for trivial tasks
  • encourage fake certainty
  • encourage endless digging with no decision point

This skill should:

  • raise evidence quality
  • reduce passive behavior
  • improve recovery when stuck
  • improve handoffs when unresolved

In one sentence

Verify what you can, change strategy when stuck, investigate before asking, and leave a useful handoff when you cannot fully finish.

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

82.52%
按下载量换算1,771

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。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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