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Agent Skill · 研究检索

bookforge-closing-attitude-self-assessment(Bookforge 关闭态度自我评估)

bookforge-closing-attitude-self-assessment 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。

bookforge-closing-attitude-self-assessment 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,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 28,888。

总安装 3,143周安装 135GitHub Stars 公开资料未说明下载 1,102核验 2026-05-01

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GitHub
许可证
MIT-0
版本
1.0.0

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请帮我安装这个 Agent Skill:bookforge-closing-attitude-self-assessment(Bookforge 关闭态度自我评估)
来源仓库:https://github.com/quochungto/bookforge-closing-attitude-self-assessment
安装命令:
openclaw skills install bookforge-closing-attitude-self-assessment
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。

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openclaw skills install bookforge-closing-attitude-self-assessment

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。

用于管理 SPIN 销售研究的 15 项心理测量量表。评估销售人员结束态度的成熟度。识别改进空间并提供反馈方向。使用时需逐项回答量表问题。bookforge-closing-attitude-self-assessment 属于研究检索类 Skill,可作为该场景下的辅助能力补充。建议定期自测并结合导师评价调整策略。

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 bookforge-closing-attitude-self-assessment;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

bookforge-closing-attitude-self-assessment 怎么安装?

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

bookforge-closing-attitude-self-assessment 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。

bookforge-closing-attitude-self-assessment 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

bookforge-closing-attitude-self-assessment 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。

bookforge-closing-attitude-self-assessment 用的人多吗?

公开数据是累计安装 3,143 次,近一周安装 135 次,下载 1,102 次。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。

bookforge-closing-attitude-self-assessment 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。

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。
  • 需要处理研究检索类任务、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。

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
bookforge-closing-attitude-self-assessment

Bookforge 关闭态度自我评估 · 本页

3,143—调用外部服务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
closing-attitude-self-assessment
description
Administer and score the Closing-Attitude Scale — a 15-item validated psychometric from SPIN Selling research. Use when a salesperson wants to evaluate whether their attitude toward closing techniques fits the kind of sale they are running, assess whether they are closing too aggressively or too passively, diagnose if their pro-closing beliefs could be hurting their large-sale results, answer 'should I close harder?', 'am I closing too aggressively?', 'is my closing approach wrong for this type of deal?', or 'evaluate my closing attitude'. Also invoke for anyone who believes 'always be closing' is good sales practice, wants to test themselves against Rackham's research findings, or needs to understand why closing techniques hurt large-sale performance. The skill administers all 15 items interactively, calculates a total (15-75), interprets the score against the user's actual selling context (deal value, buyer sophistication, post-sale relationship), and delivers a written assessment with remediation guidance when score and context are mismatched.
version
1.0.0
homepage
https://github.com/bookforge-ai/bookforge-skills/tree/main/books/spin-selling/skills/closing-attitude-self-assessment
metadata
{"openclaw":{"emoji":"🎯","homepage":"https://github.com/bookforge-ai/bookforge-skills"}}
status
draft
source-books
["spin-selling"]
tags
["sales", "b2b-sales", "closing", "enterprise-sales", "self-assessment", "sales-methodology"]
depends-on
[]
execution
tier
1
mode
hybrid
inputs
description
User answers to 15 Likert items (1-5 each) administered one at a time or in batch
description
Selling context: deal value level, buyer sophistication, and post-sale relationship length
outputs
tools-required
[Write]
tools-optional
[Read]
mcps-required
[]
discovery
trigger_phrases

Closing-Attitude Self-Assessment

When to Use

You are working with a salesperson — B2B account executive, enterprise rep, solutions consultant, or founder-led seller — who wants to evaluate whether their beliefs and instincts about closing techniques align with the type of selling they actually do.

This skill is the right tool when:

  • The user asks "am I closing too hard?" or "should I be closing more?"
  • The user has been trained in closing techniques and wants to know if those beliefs are helping or hurting them
  • The user is losing large deals after what felt like strong calls, and instinct is to "close harder"
  • A sales manager suspects a rep's pro-closing attitude is alienating sophisticated buyers
  • The user wants to benchmark their beliefs against Rackham's empirical research

This skill is NOT the right tool when:

  • The user wants to plan how to obtain commitment on a specific upcoming call — use commitment-and-advance-planner
  • The user wants to classify the outcome of a past call — use call-outcome-classifier
  • The user wants to learn closing techniques (this skill may conclude the opposite is needed)

Scale origin: The Closing-Attitude Scale was developed by Neil Rackham and colleagues at Huthwaite when a chemical company's marketing director believed poor results were an "attitude problem." The researchers created the 15-item instrument and measured 38 salespeople. The results were the opposite of what the director expected: those with the most pro-closing attitude were *below* sales target, not above it. The scale and its interpretation framework appear verbatim in SPIN Selling, Appendix B.

Context and Input Gathering

Required (ask if not provided)

  • Nothing is required upfront. The skill administers the assessment first, then gathers selling context for interpretation.

Gathered During Administration

After scoring, ask about three contextual factors:

  1. Deal value: Are the deals you typically run low-value (under ~$5K), mid-range, or high-value/enterprise?
  2. Buyer sophistication: Are your buyers typically consumers or junior buyers — or trained procurement professionals, senior executives, and professional purchasing agents?
  3. Post-sale relationship: After the sale closes, do you have no ongoing relationship, or does your company provide ongoing service, support, or account management to that buyer?

These three factors are Rackham's exact criteria for determining whether a pro-closing attitude is justified or harmful.

Process

Step 1: Administer the Scale

ACTION: Present all 15 items from the Closing-Attitude Scale. Either administer one item at a time (recommended for reflective engagement) or present all 15 at once and ask for scores.

WHY: The scale is designed to surface instinctive beliefs, not considered positions. Presenting items one at a time reduces the tendency for the user to "correct" later answers based on pattern recognition from earlier ones. However, batch presentation is acceptable when the user explicitly prefers efficiency.

Administration format (one at a time):

"I'll ask you 15 statements. For each one, rate your agreement on a 1-5 scale where: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree There are no trick questions, and no answer is wrong — the scale is calibrated empirically. Answer what you actually believe, not what you think is 'correct.'"

Present each item and collect the numeric score. See references/closing-attitude-scale.md for all 15 items verbatim. Do not paraphrase the items.

Record scores in a running list: Item 1: ___, Item 2: ___, ... Item 15: ___

Step 2: Calculate the Total Score

ACTION: Sum all 15 scores. Present the result clearly.

WHY: The sum is the only metric — there are no subscales. The total positions the user on the pro-closing spectrum relative to Rackham's threshold.

Formula:

Total = Item1 + Item2 + Item3 + ... + Item15
Range: 15 (all 1s) to 75 (all 5s)
Neutral point: 45
Favorable-attitude threshold: > 50

Present as:

"Your total score is [X] out of 75. - Below 45: Skeptical of closing techniques - 45-50: Neutral to mildly favorable - Above 50: Favorable attitude toward closing techniques"

Do NOT interpret the score yet. Proceed to context gathering first.

WHY the order matters: A score of 58 means something very different for a door-to-door canvasser vs an enterprise software AE. Interpreting before establishing context produces advice that could be directionally wrong.

Step 3: Gather Selling Context

ACTION: Ask three context questions about the user's typical sales:

"Before I interpret your score, I need to understand the type of selling you do. Three quick questions: 1. Deal value: What is the typical deal size in your work — roughly low-value (under $5K, quick transactions), mid-range ($5K-$50K), or high-value/enterprise ($50K+, multi-month sales cycles)? 2. Buyer sophistication: Are the people you sell to typically consumers or informal buyers — or professional procurement agents, trained purchasing managers, and senior executives who buy for organizations regularly? 3. Post-sale relationship: After a deal closes, does the relationship end, or does your company have an ongoing relationship with that buyer (account management, support contracts, renewals, expansions)?"

Record responses for use in Step 4.

WHY: Rackham's key finding was that the *effectiveness* of closing techniques depends entirely on sale type. The same pro-closing behavior that helps in low-value transactional sales actively hurts in large, sophisticated, or relationship-based sales. Context is not a secondary consideration — it is the interpretation framework.

Step 4: Apply Context-Aware Interpretation

ACTION: Apply Rackham's interpretation matrix against the user's score and context. Output a clear verdict — ALIGNED, MISMATCH-MILD, or MISMATCH-CRITICAL.

WHY: A high score (>50) is only a problem if the selling context is large/sophisticated/relational. The skill must be willing to tell a high-scoring user that their attitude is a liability in their context — this is Rackham's empirical finding, not opinion.

Interpretation Matrix:

ScoreDeal ValueBuyer SophisticationPost-Sale RelationshipVerdict
≤ 50AnyAnyAnyALIGNED — skepticism about closing is well-founded across all sale types
> 50Low-valueUnsophisticatedNone/minimalALIGNED — pro-closing attitude may be justified for transactional selling
> 50Low-valueUnsophisticatedOngoingMISMATCH-MILD — closing pressure strains relationships even in smaller sales
> 50Mid/HighAnyAnyMISMATCH-CRITICAL — pro-closing attitude is a liability in your context
> 50AnySophisticatedAnyMISMATCH-CRITICAL — professional buyers actively resist detected closing techniques

Deliver verdict with evidence:

For ALIGNED (low score, any context):

"Your score of [X] indicates a skeptical or neutral attitude toward closing techniques. This aligns with Rackham's research. In the Huthwaite 190-call study, calls with the fewest closing attempts outsold calls with the most closing attempts (21 vs 11 sales out of 30 calls each). Your instincts are evidence-based."

For ALIGNED (high score, transactional context):

"Your score of [X] shows a favorable attitude toward closing. Given your context — [describe their context] — this is defensible. Rackham's Photo-Store Study found that closing training improved low-value sales success from 72% to 76%. The pro-closing approach is suited to transactional, high-volume selling where decision speed matters."

For MISMATCH-MILD:

"Your score of [X] shows a favorable attitude toward closing. However, your context — [describe their context] — introduces friction. [Explain relevant mismatch factor.] The BP buyer questionnaire found that 34 of 54 professional buyers said they were *less likely* to buy when they detected closing techniques. Consider the risk of eroding the post-sale relationship."

For MISMATCH-CRITICAL:

"Your score of [X] shows a strongly favorable attitude toward closing. In your selling context, this is a liability, not an asset. Rackham's evidence: - Photo-Store Study: Closing training *reduced* high-value sales success from 42% to 33%. The same training that helped with cheap goods hurt with expensive goods. - 190-Call Study: Among 190 observed calls, the 30 calls with the most closing attempts produced only 11 sales. The 30 calls with the fewest closing attempts produced 21 sales. - BP Buyer Questionnaire: 34 of 54 professional buyers said detecting closing techniques made them *less* likely to buy. Only 2 said it made them more likely. - Chemical Company Attitude Study (the origin of this scale): The salespeople with the most favorable closing attitude were *below sales target*. The pro-closing group underperformed the skeptical group. Your beliefs about closing are optimized for a type of sale you are NOT running."

Step 5: Deliver Remediation Guidance (if MISMATCH)

ACTION: For any MISMATCH verdict, explain the replacement behavior framework and point to the relevant skill.

WHY: Telling a user their beliefs are counterproductive without giving them a replacement creates anxiety without direction. Rackham's research identified exactly what should replace closing pressure — a framework called the Four Successful Actions for Obtaining Commitment.

Remediation message:

"The goal is not to close less — the goal is to replace closing pressure with a framework that actually works in large sales. The research-backed replacement is called Advance-targeting: defining specific customer actions (advances) you want before each call, and using the Four Successful Actions to obtain them. The Four Successful Actions (Rackham, Chapter 2/Chapter 6): 1. Invest in investigating — spend enough time in discovery that the buyer has expressed real explicit needs, not just surface-level curiosity 2. Check for unresolved concerns — explicitly ask if there are remaining objections or issues before moving toward commitment 3. Summarize benefits linked to the buyer's explicit needs — not features or advantages, but benefits tied to what they said they needed 4. Propose a specific commitment — name a concrete next action, not a vague 'where do we go from here?' For a full tool to plan a specific advance for your next call, use commitment-and-advance-planner."

Step 6: Write the Assessment Artifact

ACTION: Write a closing-attitude-assessment.md file summarizing the full assessment.

WHY: The assessment is a starting point for behavioral change, not a one-time read. A written artifact the user can return to — and share with their manager — increases the probability that the insights translate into practice.

File structure:

# Closing-Attitude Assessment
**Date:** [date]
**Score:** [X] / 75
**Verdict:** [ALIGNED / MISMATCH-MILD / MISMATCH-CRITICAL]

## My Scores
[Item-by-item list with values]

## My Selling Context
- Deal value: [their answer]
- Buyer sophistication: [their answer]
- Post-sale relationship: [their answer]

## Interpretation
[Full interpretation text from Step 4]

## Recommended Next Steps
[Remediation from Step 5, if applicable; or affirmation if aligned]

Key Principles

The scale is empirically grounded, not prescriptive. Rackham did not design this scale to push a philosophical position about selling. It was created in response to a manager's hypothesis that pro-closing attitudes would predict better results. The data falsified that hypothesis. The scale's interpretation reflects what the data showed.

High score in the right context is fine. Do not treat every score above 50 as a failure. The skill's job is context-sensitive interpretation, not universal anti-closing advocacy. A door-to-door canvasser, a retail floor salesperson, or a telesales rep handling low-value inbound may legitimately be well-served by pro-closing instincts.

The mismatch verdict must be stated clearly. Baseline language models, trained on general sales literature, will validate pro-closing beliefs because most sales books still teach closing techniques. This skill enforces Rackham's empirical finding: in large, sophisticated, or relationship-based sales, closing pressure correlates with worse outcomes. The skill must be willing to state this plainly to a user who scores >50 and works in that context. Softening the verdict to avoid discomfort defeats the purpose.

Remediation, not criticism. When delivering a mismatch verdict, always pair the critique with the replacement behavior (Four Successful Actions / Advance-targeting). The goal is to change behavior, not shame beliefs.

Score items at face value — do not reverse-score. Items 2, 6, 8, 10, and 15 express skepticism about closing techniques. A high raw score on these means the user *disagrees* with the skepticism (i.e., is pro-closing). Score all items 1-5 as stated and sum them directly. The scale is calibrated so the sum produces the correct result without any adjustment.

Examples

Example 1: Enterprise AE with high score

Scenario: Senior enterprise AE, $200K average deal size, 6-month sales cycles, ongoing account management. Trigger: User asks "I always close hard — is that hurting me?" Process: Administer 15 items → score = 62 → gather context (high-value deals, trained procurement buyers, long-term account relationships) → apply matrix → MISMATCH-CRITICAL → deliver Photo-Store Study + BP buyer evidence → explain Four Successful Actions → write assessment artifact. Output: closing-attitude-assessment.md with MISMATCH-CRITICAL verdict, citing that 42→33% high-value closing data matches their context exactly, plus pointer to commitment-and-advance-planner.

Example 2: Inside sales rep with high score — aligned context

Scenario: Inside sales rep, $500 SaaS monthly subscriptions, 1-week close cycles, no post-sale relationship (product-led growth, no CSM). Trigger: User wants to test their beliefs before a sales training. Process: Administer 15 items → score = 55 → gather context (low-value, semi-sophisticated buyers, minimal ongoing relationship) → apply matrix → ALIGNED (pro-closing justified) → affirm with Photo-Store low-value data (72→76%) → acknowledge tradeoff (shorter relationship window). Output: closing-attitude-assessment.md with ALIGNED verdict, noting that transactional context makes pro-closing attitude defensible.

Example 3: New rep wanting to test themselves

Scenario: SDR transitioning to AE role, not sure if their closing instincts fit enterprise selling. Trigger: Manager asks them to assess their beliefs before joining the SPIN training cohort. Process: Administer 15 items → score = 47 → context (moving to $80K avg deal size, will be dealing with VP-level buyers) → ALIGNED (neutral score is already appropriate for the context they're entering) → affirm the score, note that as they enter enterprise AE work, scores above 50 would become a risk. Output: closing-attitude-assessment.md with ALIGNED verdict and context-forward note about why maintaining this skeptical orientation matters for the new role.

References

  • Full 15-item instrument, scoring formula, and supporting study data: references/closing-attitude-scale.md
  • For planning specific commitments and advances using the Four Successful Actions: commitment-and-advance-planner
  • For classifying past call outcomes (Order / Advance / Continuation / No-sale): call-outcome-classifier

License

This skill is licensed under CC-BY-SA-4.0. Source: BookForge — SPIN Selling by Neil Rackham.

Related BookForge Skills

This skill is standalone. Companion skills from SPIN Selling:

  • clawhub install bookforge-commitment-and-advance-planner — plan the specific commitment to seek on your next call using the Four Successful Actions
  • clawhub install bookforge-call-outcome-classifier — classify whether a past call ended in an Advance, Continuation, Order, or No-sale

Browse more BookForge skills: bookforge-skills

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