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Agent Skill · 研究检索

grace-verification(宽限验证)

grace-verification 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。

grace-verification 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 50,332。

总安装 618周安装 26GitHub Stars 150下载 216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:grace-verification(宽限验证)
来源仓库:https://github.com/osovv/grace-marketplace
仓库路径:skills/grace-verification
安装命令:
npx skills add https://github.com/osovv/grace-marketplace --skill grace-verification
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/osovv/grace-marketplace --skill grace-verification

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。

grace-verification 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果时使用。通过 npx skills add 命令从指定仓库安装,需结合原始 README 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或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/grace-verification

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/osovv/grace-marketplace --skill grace-verifica…;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

grace-verification 怎么安装?

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

grace-verification 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。

grace-verification 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。

grace-verification 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。

grace-verification 用的人多吗?

公开数据是累计安装 618 次,近一周安装 26 次,下载 216 次,GitHub 150 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。

grace-verification 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 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
grace-verification

宽限验证 · 本页

618150只读未明确通过

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

Design verification that autonomous agents can trust: deterministic where possible, observable and traceable where equality checks alone are not enough.

Prerequisites

  • docs/development-plan.xml must exist with planned modules or module contracts
  • docs/verification-plan.xml should exist; if it does not, create it from the GRACE init template before proceeding
  • if docs/operational-packets.xml exists, use its FailurePacket shape for failure handoff output
  • Read the relevant MODULE_CONTRACT, function contracts, semantic blocks, and existing tests first
  • If no contract exists yet, route through $grace-plan before building verification

Goal

Verification in GRACE is not just "did the final value match?"

It must answer:

  • did the system produce the correct result?
  • did it follow an acceptable execution path?
  • can another agent debug the failure from the evidence left behind?
  • is the module safe enough to hand to a longer autonomous run without relying on hidden model reasoning?

Use contracts for expected behavior, semantic blocks for traceability, and tests/logs for evidence.

docs/verification-plan.xml is the canonical place where this evidence model lives.

Process

Step 1: Load Verification Context

Read the smallest complete set of artifacts needed for the scope:

  • docs/requirements.xml
  • docs/technology.xml
  • docs/development-plan.xml
  • docs/verification-plan.xml
  • relevant source files and nearby tests

When operating on one module, prefer that module's plan entry, verification entry, and local tests over rereading the whole repository.

If the optional grace CLI is available, grace module show M-XXX --path <project-root> --with verification is a fast way to read the shared/public module and verification context, and grace file show <path> --path <project-root> --contracts --blocks is a fast way to inspect the local/private contracts and semantic blocks that need evidence.

Step 2: Derive Verification Targets from Contracts and Flows

Read the module contracts, function contracts, and linked flows. Extract:

  • success scenarios
  • failure scenarios
  • critical invariants
  • side effects
  • forbidden behaviors

Turn these into a verification matrix before writing or revising tests. Keep the matrix synced into docs/verification-plan.xml.

Step 3: Design Observability

For each critical path, define the minimum telemetry needed to debug and verify it.

At a minimum:

  • important logs must reference [ModuleName][functionName][BLOCK_NAME]
  • each critical branch should be visible in the trace
  • side effects should be logged at a high-signal level
  • secrets, credentials, and sensitive payloads must be redacted or omitted

Prefer stable structured logs or stable key fields over prose-heavy log lines.

Step 4: Build or Refresh docs/verification-plan.xml

Update the verification artifact so it becomes execution-ready.

For each relevant module, define or refresh:

  • V-M-xxx verification entry
  • target test files
  • module-local verification commands
  • success and failure scenarios
  • required log markers and trace assertions
  • wave-level and phase-level follow-up checks

Also refresh project-wide policy when needed:

  • log format
  • redaction rules
  • deterministic-first policy
  • module/wave/phase split
  • autonomy-gate expectations for scenarios, markers, and operational packets

Step 5: Choose Evidence Types Per Scenario

For each scenario, decide which evidence type to use:

  • Deterministic assertions for stable outputs, return values, state transitions, and exact invariants
  • Trace assertions for required execution paths, branch decisions, retries, and failure handling
  • Integration or smoke checks for end-to-end viability
  • Semantic evaluation of traces only when domain correctness cannot be expressed reliably with exact asserts alone

If an exact assert works, use it. Do not replace strong deterministic checks with fuzzy evaluation.

Step 6: Implement AI-Friendly Tests and Evidence Hooks

Write tests and harnesses that:

  1. execute the scenario
  2. collect the relevant trace, logs, or telemetry
  3. verify both:

- outcome correctness - trajectory correctness

Typical trace checks:

  • required block markers appeared
  • forbidden block markers did not appear
  • events occurred in the expected order
  • retries stayed within allowed bounds
  • failure mode matched the contract

Substantial test files may also use MODULE_CONTRACT, MODULE_MAP, semantic blocks, and CHANGE_SUMMARY if that makes them easier for future agents to navigate.

Step 7: Use Semantic Verification Carefully

When strict equality is too weak or too brittle, use bounded semantic checks.

Allowed pattern:

  • provide the evaluator with:

- the contract - the scenario description - the observed trace or structured logs - an explicit rubric

  • ask whether the evidence satisfies the contract and why

Disallowed pattern:

  • asking a model to "judge if this feels correct"
  • using raw hidden reasoning as evidence
  • relying on unconstrained free-form log dumps without a rubric

Step 8: Apply Verification Levels

Match the verification depth to the execution stage.

  • Module level: worker-local typecheck, lint, unit tests, deterministic assertions, and local trace checks
  • Wave level: integration checks only for the merged surfaces touched in the wave
  • Phase level: full suite, broad traceability checks, and final confidence checks before marking the phase done

Do not require full-repository verification after every clean module if the wave and phase gates already cover that risk.

Make these levels explicit in docs/verification-plan.xml so execution packets can reuse them.

Step 9: Failure Triage

When verification fails, produce a concise failure packet:

  • contract or scenario that failed
  • expected evidence
  • observed evidence
  • first divergent module/function/block
  • suggested next action

Use this packet to drive $grace-fix or to hand off the issue to another agent without losing context.

If docs/operational-packets.xml exists, align the handoff to its canonical FailurePacket fields.

If the optional grace CLI is available, you may also use:

  • grace verification show V-M-XXX --path <project-root> to read the current verification entry directly
  • grace verification find <query> --path <project-root> to locate verification entries by module, scenario, marker, or command
  • grace module health M-XXX --path <project-root> when you need the module-scoped remediation picture alongside the verification record

Step 10: Rate Autonomy Readiness

Before calling verification complete, give the module or flow a simple autonomy assessment:

  • do module-local commands exist and run quickly enough for worker loops?
  • do scenarios cover both success and failure behavior?
  • do required markers or traces make divergence observable?
  • is there a wave-level or phase-level follow-up when local checks are not enough?
  • do the execution packet and failure packet have enough named fields that another agent can continue without guessing?

If any answer is no, document the gap explicitly in docs/verification-plan.xml or in the verification handoff.

Verification Rules

  • Deterministic assertions first, semantic trace evaluation second
  • Logs are evidence, not decoration
  • Every important log should map back to a semantic block
  • Do not log chain-of-thought or hidden reasoning
  • Do not assert on unstable wording if stable fields are available
  • Prefer high-signal traces over verbose noise
  • Keep docs/verification-plan.xml synchronized with real test files and commands
  • Prefer source-adjacent tests and narrow fakes over giant opaque harnesses
  • If verification is weak, improve observability before adding more agents
  • Prefer module-level checks during worker execution and reserve broader suites for wave or phase gates
  • Treat grace lint --profile autonomous as a cheap gate for whether the current verification surface is mature enough for longer autonomous execution

Deliverables

When using this skill, produce:

  1. an updated docs/verification-plan.xml
  2. a verification matrix for the scoped modules or flows
  3. the telemetry/logging requirements
  4. the tests or harness changes needed
  5. the recommended verification level split across module, wave, and phase
  6. a brief assessment of whether the module is safe for autonomous or multi-agent execution
  7. any packet or checkpoint fields that must exist before long autonomous runs are allowed

When to Use It

  • Before a first serious $grace-execute or $grace-multiagent-execute run
  • Before enabling autonomous execution for a module
  • When multi-agent workflows need trustworthy checks
  • When tests are too brittle or too shallow
  • When bugs recur and logs are not actionable
  • When business logic is hard to verify with plain equality asserts alone

平台分布

Codex

32.31%
按下载量换算70

Claude

28.04%
按下载量换算61

Cursor

20.68%
按下载量换算45

Gemini CLI

9.92%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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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