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grace-verification宽限验证

Agent Skill

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。

总安装

618

周安装

26

GitHub Stars

150

下载量

216
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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

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