data-resource-evaluation

data-resource-evaluation is a skill for Claude Code from AgenticAIPlan/AgenticAISkills. It costs 93 tokens per session (3,937 once invoked), scanned A, original, MIT.

A process for submitting an external data resource for internal evaluation and recording the result in a knowledge-base document. It covers resource exchanges and potential data-vendor leads.

In plain words
What is it for?
Use it when someone explicitly asks to submit, register, or record a data-resource evaluation. The process collects the resource details, sends them to the relevant负责人, updates the knowledge base, and schedules follow-up.
Why use it?
It keeps evaluation requests, responsible people, records, and follow-up reminders together. It also stops before sending or updating anything if required configuration is still a placeholder.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for openclaw.

Part of the agentic-ai-skills plugin — 54 skills shipped together

Good fit Use it when someone explicitly asks to submit, register, or record a…

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Install with agentmods
npx agentmods add skills/agenticaiplan/agenticaiskills/data-resource-evaluation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add AgenticAIPlan/AgenticAISkills --skill data-resource-evaluation
Clone the repo
git clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkills

Made for: Claude Code.

Or install agentic-ai-skills, the plugin that ships this one along with the rest of its 54 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for data-resource-evaluation

README.md
[![agentmods](https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/data-resource-evaluation.svg)](https://agentmods.dev/skills/agenticaiplan/agenticaiskills/data-resource-evaluation)
Your own site
<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/data-resource-evaluation"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/data-resource-evaluation.svg" alt="Measured on agentmods" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,937 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.03937
Opus 5 $0.00046 $0.01969
Sonnet 5 $0.00019 $0.00787
Haiku 4.5 $0.00009 $0.00394

Measured 6d ago against content hash fe1a4efb2aa8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

data-resource-evaluation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/data-resource-evaluation/SKILL.md · 463 lines

How it starts

The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.

数据资源评估

概述

此 skill 用于管理外部伙伴数据资源的评估流程。将数据资源按类型(资源置换/数商线索)提交给对应负责人,同步记录到知识库文档,并设置定时跟进提醒。

⚠️ 前置检查(Fail-Fast 规则)

重要:在执行任何写操作之前,必须检查配置是否有效!

配置检查规则

在执行第三步(发送评估消息)、第四步(同步更新知识库)、第五步(设置定时提醒)之前,必须验证以下配置:

  1. 负责人配置检查

    • responsible_persons.resource_exchange.account 不能是占位符(如 "负责人账号"、"uuapName" 等)
    • responsible_persons.data_vendor_leads.account 不能是占位符
  2. 知识库配置检查

    • knowledge_base.doc_url 不能是占位符(如 "知识库文档链接")
    • knowledge_base.kb_id 不能是占位符(如 "知识库 ID")
    • knowledge_base.doc_id 不能是占位符(如 "文档 ID")

检查失败处理

如果检测到配置仍为占位符:

  1. 立即停止:不执行任何写操作
  2. 提示用户:明确告知哪些配置项未设置
  3. 提供指引:指导用户如何修改配置

示例提示

❌ 无法执行评估提交:配置未完成

以下配置项仍为占位符,请先修改 SKILL.md 中的配置:
- responsible_persons.resource_exchange.account: 当前值为 "负责人账号(如流 uuapName)"
- knowledge_base.doc_url: 当前值为 "知识库文档链接"

请修改 ~/.openclaw/skills/data-resource-evaluation/SKILL.md 中的元数据配置后重试。

核心流程

┌─────────────────┐
│  接收评估请求    │
└────────┬────────┘
         ▼
┌─────────────────┐
│  判断评估类型    │
│  资源置换/数商   │
└────────┬────────┘
         ▼
┌─────────────────┐
│  收集数据信息    │
│  使用标准模板    │
└────────┬────────┘
         ▼
┌─────────────────┐
│  发送评估消息    │
│  给对应负责人    │
└────────┬────────┘
         ▼
┌─────────────────┐
│  同步更新知识库  │
│  追加评估记录    │
└────────┬────────┘
         ▼
┌─────────────────┐
│  确认定时提醒    │
│  每周五跟进      │
└─────────────────┘

触发条件说明

重要:此 skill 仅在用户明确要求执行评估提交/记录/发起动作时触发!

✅ 应该触发的场景

用户表达明确的执行意图,例如:

  • "提交评估"
  • "帮我记录这个评估"
  • "发起一个数据资源评估"
  • "登记这个数据资源"
  • "把这个数据提交给负责人评估"
  • "需要走评估流程"

❌ 不应触发的场景

用户仅进行一般性讨论或咨询,例如:

  • "什么是数据资源评估?"
  • "数据采购流程是怎样的?"
  • "资源置换需要注意什么?"
  • "帮我分析一下这个数据的价值"(纯分析,不涉及提交)

判断原则

  • 执行意图 vs 讨论意图:只有当用户希望执行具体操作(发送消息、更新文档、创建提醒)时才触发
  • 有副作用 vs 无副作用:此 skill 会产生写操作,确保用户已知晓并同意
  • 明确指令 vs 模糊提及:用户应明确表达"提交/记录/发起"等动作词汇

第一步:判断评估类型

根据用户意图判断数据资源的评估类型:

资源置换(生态合作)

触发词:资源置换、生态合作、生态资源置换、合作评估、数据交换

适用场景:合作伙伴希望通过数据交换、生态合作方式获取资源,不涉及现金采购

配置项:负责人信息通过 responsible_persons.resource_exchange 配置

数商数据线索(采购)

触发词:数据采购、数商线索、采购评估、线索提交、现金采购

Read the full file on GitHub · 463 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 463 lines · 93 tokens per session scan A fe1a4efb2aa8

Subscribe to this mod's changes

data-resource-evaluation is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 3,937 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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