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Agent Skill · 效率

evidence-gate(证据门)

evidence-gate 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

evidence-gate 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 8,874。

总安装 6,624周安装 276GitHub Stars 1下载 2,208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
0.0.2

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:evidence-gate(证据门)
来源仓库:https://github.com/shanicky/evidence-gate
安装命令:
openclaw skills install evidence-gate
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 evidence-gate

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

evidence-gate 生成索赔或诉讼的证据义务并评估现有材料。适合法律案件准备阶段返回结构化判决时使用。支持 PASS / BLOCK 等判定结果,需确认评估标准。通过 clawhub 安装,建议核对法律合规性和案例匹配度。涉及敏感信息时,应先加密存储和传输。

evidence-gate 属于效率类 Skill,可作为该场景下的辅助能力补充。

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 evidence-gate;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

evidence-gate 怎么安装?

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

evidence-gate 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。

evidence-gate 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。

evidence-gate 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。

evidence-gate 用的人多吗?

公开数据是累计安装 6,624 次,近一周安装 276 次,下载 2,208 次,GitHub 1 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。

evidence-gate 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 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

  • 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。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
evidence-gate

证据门 · 本页

6,6241只读MIT-0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

name
evidence-gate
description
Generates evidence obligations for a claim or action, evaluates existing evidence against them, and returns a structured verdict (PASS / SOFT_PASS / BLOCK / CONFLICT) with safe downgrade guidance. TRIGGER when the agent is about to present a root-cause diagnosis, claim 'the cause is X', say 'this is safe', recommend a destructive or irreversible action, recommend a rollback, make a safety assertion, or state a strong conclusion based on limited evidence. DO NOT TRIGGER when summarizing, formatting, brainstorming possibilities, performing low-risk reversible operations, or when the caller already has its own evidence-validation step.

Evidence Gate

Use this skill to insert a lightweight evidence gate into an existing workflow without replacing the workflow.

Its purpose is not to make the caller more cautious — capable agents are already cautious. Its purpose is to make that caution structured, auditable, and actionable by answering a narrower question:

What evidence must exist before this conclusion or action is responsible enough to present, recommend, or execute?

Treat the caller's conclusion or action as tentative until the gate returns a verdict.

Keep the skill lightweight, selective, and non-blocking by default.

Scope

This skill gates the agent's own reasoning quality — not the user's intent.

It is not:

  • content moderation or policy enforcement
  • user intent classification (allow / refuse / clarify)
  • a legal, compliance, or safety advisory tool
  • a replacement for domain expertise

Core idea

Given a tentative claim or action, do three things:

  1. Define the minimum evidence obligations for that claim/action.
  2. Check what evidence already exists and what is still missing or conflicting.
  3. Return a verdict and a safe next-step policy.

Do not fully own evidence collection. Recommend missing evidence for the caller to gather using its existing tools.

Operating model

Use a single-pass gate instead of taking over the full workflow:

  1. The caller reaches a tentative claim, diagnosis, recommendation, or action.
  2. Generate the evidence obligations for that candidate.
  3. Evaluate only the evidence currently available in the invocation.
  4. Return a final verdict for this invocation:

- whether the current evidence is sufficient - how the caller should downgrade if it is not - which next evidence checks would be most valuable

  1. Exit.

Assume no durable skill state across calls. Do not require a second gate pass unless the caller explicitly chooses to orchestrate one outside this skill.

When to use

Use this skill when one or more of the following are true:

  • The caller is about to make a strong claim such as:

- "the root cause is X" - "this is safe" - "this configuration should be changed" - "the correct action is Y"

  • The caller is about to recommend or execute a high-impact step such as:

- rollback - scale up/down - delete/disable/quarantine - approve/reject - change production configuration

  • The current conclusion appears to rely on only one signal, one log line, one chart, or one tool result.
  • Competing explanations have not been checked.
  • The user explicitly asks for an evidence-backed answer.
  • The environment or workflow has a policy requiring stronger justification before action.

When NOT to use

Do not use this skill when:

  • The output is low-risk and easily reversible.
  • The task is simple summarization or formatting.
  • The caller is brainstorming possibilities and is not presenting a conclusion as established.
  • The additional delay or cost of gating would outweigh the value.
  • The caller already has an explicit evidence-validation layer for this exact step.

Design constraints

This skill must preserve the caller's original capability as much as possible.

It should:

  • be selective rather than always-on
  • avoid taking over the entire workflow
  • avoid forcing chain-of-thought disclosure
  • avoid blocking work unless a real risk threshold is crossed
  • prefer downgrade/fallback over hard failure
  • assume each invocation is stateless

Integration policy

Apply these defaults unless the caller provides stricter policy:

  1. Run the gate only at conclusion points or before high-impact actions.
  2. Generate only 2-5 concrete evidence obligations.
  3. Evaluate only the evidence explicitly present in the current invocation.
  4. Return one final verdict for the current invocation.
  5. If evidence is insufficient, downgrade or defer instead of spinning.
  6. Keep domain ownership with the caller.
  7. Judge only explicit artifacts, not hidden reasoning.

Input contract

The only required input is the claim — the conclusion, diagnosis, recommendation, or action under consideration.

Invocation examples:

  • /evidence-gate "The root cause is a nil dereference in request parsing"
  • /evidence-gate "Safe to delete the staging database"
  • Agent self-trigger: the agent recognizes a gate-worthy moment and invokes the skill with the current claim from context.

When invoked with just a claim, the skill infers the remaining context:

  • claim_type: inferred from the claim language (e.g., "the cause is" → diagnosis, "safe to" → safety, "should delete" → action)
  • domain: inferred from the current working context
  • risk_level: inferred from the action's reversibility and blast radius
  • execution_mode: inferred from whether the caller is informing, recommending, or about to execute
  • target_strength: inferred from the claim's language strength

The caller may optionally provide any of these fields to override inference. Use references/input-template.md when a caller wants a canonical explicit input shape. See references/protocol.md for the full schema semantics.

Output contract

The skill should return a structured gate result containing:

  • whether a gate is required
  • why the gate is required
  • evidence requirements
  • per-requirement status
  • missing evidence
  • conflicting evidence
  • sufficiency rule
  • verdict
  • allowed next actions
  • blocked next actions
  • fallback behavior
  • suggested caller wording when evidence is insufficient
  • next evidence actions

Return JSON matching references/output-template.md. Use references/verdict-schema.json as the machine-checkable schema. Keep gate_required even on explicit invocation. Use gate_required = false as a fast exit when the claim is already low-risk, exploratory, or sufficiently bounded.

Verdict states

Use exactly these verdicts:

  • PASS

- Evidence is sufficient for the intended claim/action.

  • SOFT_PASS

- Evidence is incomplete, but sufficient for a weaker claim, advisory output, or low-risk continuation.

  • BLOCK

- Evidence is insufficient for the intended strength or risk level. High-impact continuation should not proceed.

  • CONFLICT

- Evidence materially disagrees or supports multiple competing interpretations. The caller should not present a strong conclusion as settled.

Required behavior

1. Normalize the candidate

Reduce the caller's current position to a tentative, explicit candidate. If the caller already states the final conclusion as settled, rewrite it internally as tentative before gating it.

2. Define evidence obligations

Translate the candidate claim/action into a small set of concrete evidence requirements.

Good evidence requirements are:

  • specific
  • externally checkable
  • operationally gatherable
  • tied to the claim, not generic boilerplate

Bad evidence requirements are vague, such as:

  • "get more proof"
  • "verify better"
  • "be more certain"

3. Evaluate sufficiency

Determine whether currently known evidence satisfies the requirements.

The skill should explicitly mark:

  • satisfied
  • missing
  • conflicting
  • not_applicable

4. Produce a final verdict for the current invocation

Return a verdict immediately after evaluating known evidence. If evidence is missing, identify only the smallest set of additional checks that would materially change the verdict.

5. Prefer downgrade over dead stop

If evidence is insufficient, prefer one of:

  • provisional conclusion
  • candidate hypotheses
  • advisory-only output
  • ask-for-human-review
  • request-more-evidence plan

Do not hard-block low-risk work unnecessarily.

6. Assume stateless execution

Assume every call is fresh. Do not depend on remembering prior requirements, prior verdicts, or prior collection attempts unless the caller explicitly embeds them in the current input.

7. Avoid hidden-reasoning dependence

Do not require access to hidden chain-of-thought. Judge only from explicit claim, explicit evidence, explicit policy, and explicit outputs.

Suggested workflow

  1. Receive normalized candidate claim/action.
  2. Decide whether gating is required.
  3. If no gate is required, return PASS with rationale.
  4. If a gate is required:

- generate evidence requirements - evaluate known evidence - identify gaps and conflicts - apply a sufficiency rule - produce a final verdict for this invocation - produce fallback and next-step guidance

  1. Return a structured result without taking over execution.

Default trigger heuristics

Bias toward using this skill when any of the following are present:

  • risk_level = high
  • execution_mode = auto
  • claim language is strong or definitive
  • only one evidence source supports the claim
  • no competing hypothesis check exists
  • action is costly, irreversible, or externally visible

Bias away from using this skill when:

  • risk_level = low
  • the output is exploratory, not conclusive
  • the result is easy to reverse
  • the task is primarily formatting or summarization

Default fallback policy

When the gate does not fully pass, prefer these downgrades:

  • intended strong conclusion -> provisional conclusion
  • automatic action -> advisory recommendation
  • settled diagnosis -> candidate hypotheses
  • irreversible operation -> human approval required
  • insufficient current evidence -> stop and return a bounded next-evidence plan

Output style guidance

When the verdict is not PASS, the caller should avoid overstating certainty.

Good examples:

  • "Current evidence suggests X, but this is not yet sufficiently established."
  • "This is a plausible diagnosis, not a confirmed root cause."
  • "Evidence is currently insufficient for automatic execution."
  • "Additional evidence is needed before recommending Y with confidence."

Bad examples:

  • "This is definitely the cause" when key evidence is missing
  • "Safe to proceed" when competing evidence exists

Example use cases

  • SRE:

Before recommending scale-up, verify that bottleneck evidence is real and alternative explanations were checked.

  • Coding:

Before claiming a bug root cause, verify reproduction path, code-path match, and at least one falsified alternative.

  • Security:

Before declaring an action safe, require policy match, scope confirmation, and risk checks.

  • Research:

Before presenting a strong conclusion, require source support and contradiction checks.

Non-goals

This skill is not:

  • a universal orchestrator
  • a replacement for domain expertise
  • a guarantee of correctness
  • a hidden chain-of-thought inspector
  • a mandatory wrapper around every agent step

Its job is narrower: make evidence obligations explicit, assess whether they are met, and enforce safe downgrade behavior when they are not.

平台分布

OpenClaw

73.04%
按下载量换算1,613

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。目前只有一个公开来源,建议同时核对源仓库。

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