Creator · kangarooking
Last updated · Sep 1, 2026
当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback
Creator · kangarooking
Last updated · Sep 1, 2026
当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback
Creator · kangarooking
Last updated · Sep 1, 2026
当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback
Creator · kangarooking
Last updated · Sep 1, 2026
当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback
Review then install
Install targets
Codex install prompt
Install the "honesty-communication" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/honesty-communication. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kangarooking-honesty-communication","task":"Install honesty-communication","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kangarooking/cangjie-skill --skill honesty-communicationDo not use when
Alternative
16.3K Stars
npx skills add hardikpandya/stop-slop --skill stop-slop
Alternative
37.4K Stars
npx skills add blader/humanizer --skill humanizer
Alternative
5.8K Stars
npx skills add petergyang/no-ai-slop --skill no-ai-slop
Alternative
4.8K Stars
npx skills add cursor/plugins --skill unslop
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-honesty-communication/install
Agent should check
Copy prompt
Task: Use honesty-communication in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install
Install command: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kangarooking-honesty-communication/install
LLM text format
/api/skills/kangarooking-honesty-communication/install?format=text
Find alternatives
/api/skills/search?q=honesty-communication&limit=3
Agent prompt
Use honesty-communication for this task. Review https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install, then install with: npx skills add kangarooking/cangjie-skill --skill honesty-communicationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kangarooking-honesty-communication
LLM text
/api/registry/manifest/kangarooking-honesty-communication?format=text
Install alias
/api/registry/install/kangarooking-honesty-communication
Recommend
/api/registry/recommend?task=Use%20honesty-communication%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
--- name: honesty-communication description: | 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如何清晰地思考 + 第二章·幸福 / 活出你的价值 tags: [honesty, communication, values, feedback] related_skills: - slug: identity-work relation: composes-with - slug: self-liberation relation: composes-with - slug: peer-selection relation: composes-with ---
# 诚实与沟通
## R — 原文 (Reading)
> 彻底的诚实仅是意味着我想自由。……在你向别人撒谎之前,你必须先对自己撒谎。……我会把彻底的诚实和沃伦·巴菲特的一条老的行事规则结合起来,那是具体地表扬、一般地批判。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》
## I — 方法论骨架 (Interpretation)
诚实不是道德表演,而是**认知安全与心理自由**: ① **撒谎先骗自己**——费曼「你从不应该在任何时候愚弄任何人,你是最容易愚弄的人」;对别人撒谎会让你相信自己的谎话,扭曲对事实的判断; ② **诚实=自由**——所想与所说高度一致时,内心没有需要维护的多重线程;不与需要你注意言辞的人相处; ③ **具体表扬、一般批评**——批评指向做法/类别而非个人,表扬要具体到这个人最值得称赞的点,这样对方的自我不会与你对抗; ④ **秘密越少,快乐越多**——需要隐藏的东西会变成内心负担; ⑤ **诚实的边界感**——「我不会主动说一些消极或令人讨厌的事」,诚实不等于口无遮拦。
## A1 — 书中的应用 (Past Application)
### 案例 1: 不用「我喜欢/不喜欢」 - **问题**: 判断被喜好污染 - **方法论的使用**: 费曼规则——「我从不询问我喜欢或我不喜欢。我会认为这是什么或这不是什么。」 - **结论**: 描述事实优先于表达喜好 - **结果**: 判断保持对现实的锚定
### 案例 2: 剔除不诚实者 - **问题**: 如何识别不可信的人 - **方法论的使用**: 「如果有人总说他们自己是多么的诚实,他们很有可能是不诚实的」 - **结论**: 过度自我标榜=掩盖信号 - **结果**: 作者据此保持距离
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 给反馈:「怎么批评同事/孩子而不伤人」 2. 拒绝别人:「怎么说'不'又不撒谎」 3. 自我检查:「我是不是在自欺」 4. 关系沟通:「这段关系里我总是言不由衷」
### 语言信号
- "怎么诚实又不伤人地沟通" - "怎么拒绝/批评/表扬" - "我不想说场面话" - "how to be honest / give feedback / say no"
### 与相邻 skill 的区分
- 与 `self-liberation` 的区别: 解放 skill 给「说不」的边界,本 skill 给「怎么说」 - 与 `peer-selection` 的区别: 诚实是内部一致性标准;同伴选择是外部筛选标准
## E — 可执行步骤 (Execution)
1. **检查自欺点** - 完成标准: 找出本周 1 个「对别人没说真话/对自己隐瞒」的场景,确认它影响什么判断
2. **用事实句式重述** - 完成标准: 把「我喜欢/我不喜欢」改成「这是什么/这不是什么」的陈述,检验是否更接近事实
3. **执行具体表扬、一般批评** - 完成标准: 下次给反馈时:批评对事不对人(「这个做法」而非「你这个人」),表扬具体到细节
4. **清理一个秘密** - 完成标准: 挑一个可以安全说出的秘密,对可信的人讲出来,感受「秘密减少=负担减少」 - 判停条件: 涉及他人隐私/安全时保留秘密——诚实不等于泄露
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 谈判/保密场景(诚实≠和盘托出,作者强调「不会主动说消极或令人讨厌的事」) - 涉及他人隐私(别人的秘密不是你的诚实素材)
### 作者在书中警告的失败模式
- 自欺: 「当你对别人撒谎的时候,你也是在骗自己」 - 用诚实当伤害工具: 诚实要配积极——「诚实和积极几乎总是可能的」
### 作者的盲点 / 时代局限
- 「彻底诚实」在威权/职场政治环境中可能有现实代价,作者有足够的地位承受它 - 「秘密越少快乐越多」未区分健康隐私
### 容易混淆的邻近方法论
- `self-liberation`: 期望边界给出拒绝的合法性,诚实给出拒绝的句式
---
## 相关 skills (阶段 3 定稿)
- composes-with: `identity-work`(无所隐藏)、`self-liberation`、`peer-selection`
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v17) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for honesty-communication, ready for a manual X post.
honesty-communication: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般... 9.3K stars https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x
Listing + install path for honesty-communication: https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x Install: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kangarooking but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/kangarooking-honesty-communication/audit)
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@kangarooking
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Review then install
stop-slop
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16.3K StarsHumanizer
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
37.4K Starsno-ai-slop
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Starsunslop
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
4.8K StarsReview then install
Install targets
Codex install prompt
Install the "honesty-communication" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/honesty-communication. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kangarooking-honesty-communication","task":"Install honesty-communication","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kangarooking/cangjie-skill --skill honesty-communicationDo not use when
Alternative
16.3K Stars
npx skills add hardikpandya/stop-slop --skill stop-slop
Alternative
37.4K Stars
npx skills add blader/humanizer --skill humanizer
Alternative
5.8K Stars
npx skills add petergyang/no-ai-slop --skill no-ai-slop
Alternative
4.8K Stars
npx skills add cursor/plugins --skill unslop
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-honesty-communication/install
Agent should check
Copy prompt
Task: Use honesty-communication in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install
Install command: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kangarooking-honesty-communication/install
LLM text format
/api/skills/kangarooking-honesty-communication/install?format=text
Find alternatives
/api/skills/search?q=honesty-communication&limit=3
Agent prompt
Use honesty-communication for this task. Review https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install, then install with: npx skills add kangarooking/cangjie-skill --skill honesty-communicationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kangarooking-honesty-communication
LLM text
/api/registry/manifest/kangarooking-honesty-communication?format=text
Install alias
/api/registry/install/kangarooking-honesty-communication
Recommend
/api/registry/recommend?task=Use%20honesty-communication%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
--- name: honesty-communication description: | 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如何清晰地思考 + 第二章·幸福 / 活出你的价值 tags: [honesty, communication, values, feedback] related_skills: - slug: identity-work relation: composes-with - slug: self-liberation relation: composes-with - slug: peer-selection relation: composes-with ---
# 诚实与沟通
## R — 原文 (Reading)
> 彻底的诚实仅是意味着我想自由。……在你向别人撒谎之前,你必须先对自己撒谎。……我会把彻底的诚实和沃伦·巴菲特的一条老的行事规则结合起来,那是具体地表扬、一般地批判。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》
## I — 方法论骨架 (Interpretation)
诚实不是道德表演,而是**认知安全与心理自由**: ① **撒谎先骗自己**——费曼「你从不应该在任何时候愚弄任何人,你是最容易愚弄的人」;对别人撒谎会让你相信自己的谎话,扭曲对事实的判断; ② **诚实=自由**——所想与所说高度一致时,内心没有需要维护的多重线程;不与需要你注意言辞的人相处; ③ **具体表扬、一般批评**——批评指向做法/类别而非个人,表扬要具体到这个人最值得称赞的点,这样对方的自我不会与你对抗; ④ **秘密越少,快乐越多**——需要隐藏的东西会变成内心负担; ⑤ **诚实的边界感**——「我不会主动说一些消极或令人讨厌的事」,诚实不等于口无遮拦。
## A1 — 书中的应用 (Past Application)
### 案例 1: 不用「我喜欢/不喜欢」 - **问题**: 判断被喜好污染 - **方法论的使用**: 费曼规则——「我从不询问我喜欢或我不喜欢。我会认为这是什么或这不是什么。」 - **结论**: 描述事实优先于表达喜好 - **结果**: 判断保持对现实的锚定
### 案例 2: 剔除不诚实者 - **问题**: 如何识别不可信的人 - **方法论的使用**: 「如果有人总说他们自己是多么的诚实,他们很有可能是不诚实的」 - **结论**: 过度自我标榜=掩盖信号 - **结果**: 作者据此保持距离
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 给反馈:「怎么批评同事/孩子而不伤人」 2. 拒绝别人:「怎么说'不'又不撒谎」 3. 自我检查:「我是不是在自欺」 4. 关系沟通:「这段关系里我总是言不由衷」
### 语言信号
- "怎么诚实又不伤人地沟通" - "怎么拒绝/批评/表扬" - "我不想说场面话" - "how to be honest / give feedback / say no"
### 与相邻 skill 的区分
- 与 `self-liberation` 的区别: 解放 skill 给「说不」的边界,本 skill 给「怎么说」 - 与 `peer-selection` 的区别: 诚实是内部一致性标准;同伴选择是外部筛选标准
## E — 可执行步骤 (Execution)
1. **检查自欺点** - 完成标准: 找出本周 1 个「对别人没说真话/对自己隐瞒」的场景,确认它影响什么判断
2. **用事实句式重述** - 完成标准: 把「我喜欢/我不喜欢」改成「这是什么/这不是什么」的陈述,检验是否更接近事实
3. **执行具体表扬、一般批评** - 完成标准: 下次给反馈时:批评对事不对人(「这个做法」而非「你这个人」),表扬具体到细节
4. **清理一个秘密** - 完成标准: 挑一个可以安全说出的秘密,对可信的人讲出来,感受「秘密减少=负担减少」 - 判停条件: 涉及他人隐私/安全时保留秘密——诚实不等于泄露
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 谈判/保密场景(诚实≠和盘托出,作者强调「不会主动说消极或令人讨厌的事」) - 涉及他人隐私(别人的秘密不是你的诚实素材)
### 作者在书中警告的失败模式
- 自欺: 「当你对别人撒谎的时候,你也是在骗自己」 - 用诚实当伤害工具: 诚实要配积极——「诚实和积极几乎总是可能的」
### 作者的盲点 / 时代局限
- 「彻底诚实」在威权/职场政治环境中可能有现实代价,作者有足够的地位承受它 - 「秘密越少快乐越多」未区分健康隐私
### 容易混淆的邻近方法论
- `self-liberation`: 期望边界给出拒绝的合法性,诚实给出拒绝的句式
---
## 相关 skills (阶段 3 定稿)
- composes-with: `identity-work`(无所隐藏)、`self-liberation`、`peer-selection`
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v17) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for honesty-communication, ready for a manual X post.
honesty-communication: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般... 9.3K stars https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x
Listing + install path for honesty-communication: https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x Install: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kangarooking but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication/audit)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
stop-slop
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16.3K StarsHumanizer
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
37.4K Starsno-ai-slop
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Starsunslop
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
4.8K StarsReview then install
Install targets
Codex install prompt
Install the "honesty-communication" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/honesty-communication. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kangarooking-honesty-communication","task":"Install honesty-communication","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kangarooking/cangjie-skill --skill honesty-communicationDo not use when
Alternative
16.3K Stars
npx skills add hardikpandya/stop-slop --skill stop-slop
Alternative
37.4K Stars
npx skills add blader/humanizer --skill humanizer
Alternative
5.8K Stars
npx skills add petergyang/no-ai-slop --skill no-ai-slop
Alternative
4.8K Stars
npx skills add cursor/plugins --skill unslop
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-honesty-communication/install
Agent should check
Copy prompt
Task: Use honesty-communication in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install
Install command: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kangarooking-honesty-communication/install
LLM text format
/api/skills/kangarooking-honesty-communication/install?format=text
Find alternatives
/api/skills/search?q=honesty-communication&limit=3
Agent prompt
Use honesty-communication for this task. Review https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install, then install with: npx skills add kangarooking/cangjie-skill --skill honesty-communicationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kangarooking-honesty-communication
LLM text
/api/registry/manifest/kangarooking-honesty-communication?format=text
Install alias
/api/registry/install/kangarooking-honesty-communication
Recommend
/api/registry/recommend?task=Use%20honesty-communication%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
--- name: honesty-communication description: | 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如何清晰地思考 + 第二章·幸福 / 活出你的价值 tags: [honesty, communication, values, feedback] related_skills: - slug: identity-work relation: composes-with - slug: self-liberation relation: composes-with - slug: peer-selection relation: composes-with ---
# 诚实与沟通
## R — 原文 (Reading)
> 彻底的诚实仅是意味着我想自由。……在你向别人撒谎之前,你必须先对自己撒谎。……我会把彻底的诚实和沃伦·巴菲特的一条老的行事规则结合起来,那是具体地表扬、一般地批判。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》
## I — 方法论骨架 (Interpretation)
诚实不是道德表演,而是**认知安全与心理自由**: ① **撒谎先骗自己**——费曼「你从不应该在任何时候愚弄任何人,你是最容易愚弄的人」;对别人撒谎会让你相信自己的谎话,扭曲对事实的判断; ② **诚实=自由**——所想与所说高度一致时,内心没有需要维护的多重线程;不与需要你注意言辞的人相处; ③ **具体表扬、一般批评**——批评指向做法/类别而非个人,表扬要具体到这个人最值得称赞的点,这样对方的自我不会与你对抗; ④ **秘密越少,快乐越多**——需要隐藏的东西会变成内心负担; ⑤ **诚实的边界感**——「我不会主动说一些消极或令人讨厌的事」,诚实不等于口无遮拦。
## A1 — 书中的应用 (Past Application)
### 案例 1: 不用「我喜欢/不喜欢」 - **问题**: 判断被喜好污染 - **方法论的使用**: 费曼规则——「我从不询问我喜欢或我不喜欢。我会认为这是什么或这不是什么。」 - **结论**: 描述事实优先于表达喜好 - **结果**: 判断保持对现实的锚定
### 案例 2: 剔除不诚实者 - **问题**: 如何识别不可信的人 - **方法论的使用**: 「如果有人总说他们自己是多么的诚实,他们很有可能是不诚实的」 - **结论**: 过度自我标榜=掩盖信号 - **结果**: 作者据此保持距离
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 给反馈:「怎么批评同事/孩子而不伤人」 2. 拒绝别人:「怎么说'不'又不撒谎」 3. 自我检查:「我是不是在自欺」 4. 关系沟通:「这段关系里我总是言不由衷」
### 语言信号
- "怎么诚实又不伤人地沟通" - "怎么拒绝/批评/表扬" - "我不想说场面话" - "how to be honest / give feedback / say no"
### 与相邻 skill 的区分
- 与 `self-liberation` 的区别: 解放 skill 给「说不」的边界,本 skill 给「怎么说」 - 与 `peer-selection` 的区别: 诚实是内部一致性标准;同伴选择是外部筛选标准
## E — 可执行步骤 (Execution)
1. **检查自欺点** - 完成标准: 找出本周 1 个「对别人没说真话/对自己隐瞒」的场景,确认它影响什么判断
2. **用事实句式重述** - 完成标准: 把「我喜欢/我不喜欢」改成「这是什么/这不是什么」的陈述,检验是否更接近事实
3. **执行具体表扬、一般批评** - 完成标准: 下次给反馈时:批评对事不对人(「这个做法」而非「你这个人」),表扬具体到细节
4. **清理一个秘密** - 完成标准: 挑一个可以安全说出的秘密,对可信的人讲出来,感受「秘密减少=负担减少」 - 判停条件: 涉及他人隐私/安全时保留秘密——诚实不等于泄露
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 谈判/保密场景(诚实≠和盘托出,作者强调「不会主动说消极或令人讨厌的事」) - 涉及他人隐私(别人的秘密不是你的诚实素材)
### 作者在书中警告的失败模式
- 自欺: 「当你对别人撒谎的时候,你也是在骗自己」 - 用诚实当伤害工具: 诚实要配积极——「诚实和积极几乎总是可能的」
### 作者的盲点 / 时代局限
- 「彻底诚实」在威权/职场政治环境中可能有现实代价,作者有足够的地位承受它 - 「秘密越少快乐越多」未区分健康隐私
### 容易混淆的邻近方法论
- `self-liberation`: 期望边界给出拒绝的合法性,诚实给出拒绝的句式
---
## 相关 skills (阶段 3 定稿)
- composes-with: `identity-work`(无所隐藏)、`self-liberation`、`peer-selection`
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v17) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for honesty-communication, ready for a manual X post.
honesty-communication: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般... 9.3K stars https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x
Listing + install path for honesty-communication: https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x Install: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kangarooking but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication/audit)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
stop-slop
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16.3K StarsHumanizer
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
37.4K Starsno-ai-slop
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Starsunslop
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
4.8K StarsReview then install
Install targets
Codex install prompt
Install the "honesty-communication" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/honesty-communication. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kangarooking-honesty-communication","task":"Install honesty-communication","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill honesty-communication
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kangarooking/cangjie-skill --skill honesty-communicationDo not use when
Alternative
16.3K Stars
npx skills add hardikpandya/stop-slop --skill stop-slop
Alternative
37.4K Stars
npx skills add blader/humanizer --skill humanizer
Alternative
5.8K Stars
npx skills add petergyang/no-ai-slop --skill no-ai-slop
Alternative
4.8K Stars
npx skills add cursor/plugins --skill unslop
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-honesty-communication/install
Agent should check
Copy prompt
Task: Use honesty-communication in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20honesty-communication%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install
Install command: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kangarooking-honesty-communication/install
LLM text format
/api/skills/kangarooking-honesty-communication/install?format=text
Find alternatives
/api/skills/search?q=honesty-communication&limit=3
Agent prompt
Use honesty-communication for this task. Review https://www.openagentskill.com/api/skills/kangarooking-honesty-communication/install, then install with: npx skills add kangarooking/cangjie-skill --skill honesty-communicationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kangarooking-honesty-communication
LLM text
/api/registry/manifest/kangarooking-honesty-communication?format=text
Install alias
/api/registry/install/kangarooking-honesty-communication
Recommend
/api/registry/recommend?task=Use%20honesty-communication%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
--- name: honesty-communication description: | 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如何清晰地思考 + 第二章·幸福 / 活出你的价值 tags: [honesty, communication, values, feedback] related_skills: - slug: identity-work relation: composes-with - slug: self-liberation relation: composes-with - slug: peer-selection relation: composes-with ---
# 诚实与沟通
## R — 原文 (Reading)
> 彻底的诚实仅是意味着我想自由。……在你向别人撒谎之前,你必须先对自己撒谎。……我会把彻底的诚实和沃伦·巴菲特的一条老的行事规则结合起来,那是具体地表扬、一般地批判。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》
## I — 方法论骨架 (Interpretation)
诚实不是道德表演,而是**认知安全与心理自由**: ① **撒谎先骗自己**——费曼「你从不应该在任何时候愚弄任何人,你是最容易愚弄的人」;对别人撒谎会让你相信自己的谎话,扭曲对事实的判断; ② **诚实=自由**——所想与所说高度一致时,内心没有需要维护的多重线程;不与需要你注意言辞的人相处; ③ **具体表扬、一般批评**——批评指向做法/类别而非个人,表扬要具体到这个人最值得称赞的点,这样对方的自我不会与你对抗; ④ **秘密越少,快乐越多**——需要隐藏的东西会变成内心负担; ⑤ **诚实的边界感**——「我不会主动说一些消极或令人讨厌的事」,诚实不等于口无遮拦。
## A1 — 书中的应用 (Past Application)
### 案例 1: 不用「我喜欢/不喜欢」 - **问题**: 判断被喜好污染 - **方法论的使用**: 费曼规则——「我从不询问我喜欢或我不喜欢。我会认为这是什么或这不是什么。」 - **结论**: 描述事实优先于表达喜好 - **结果**: 判断保持对现实的锚定
### 案例 2: 剔除不诚实者 - **问题**: 如何识别不可信的人 - **方法论的使用**: 「如果有人总说他们自己是多么的诚实,他们很有可能是不诚实的」 - **结论**: 过度自我标榜=掩盖信号 - **结果**: 作者据此保持距离
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 给反馈:「怎么批评同事/孩子而不伤人」 2. 拒绝别人:「怎么说'不'又不撒谎」 3. 自我检查:「我是不是在自欺」 4. 关系沟通:「这段关系里我总是言不由衷」
### 语言信号
- "怎么诚实又不伤人地沟通" - "怎么拒绝/批评/表扬" - "我不想说场面话" - "how to be honest / give feedback / say no"
### 与相邻 skill 的区分
- 与 `self-liberation` 的区别: 解放 skill 给「说不」的边界,本 skill 给「怎么说」 - 与 `peer-selection` 的区别: 诚实是内部一致性标准;同伴选择是外部筛选标准
## E — 可执行步骤 (Execution)
1. **检查自欺点** - 完成标准: 找出本周 1 个「对别人没说真话/对自己隐瞒」的场景,确认它影响什么判断
2. **用事实句式重述** - 完成标准: 把「我喜欢/我不喜欢」改成「这是什么/这不是什么」的陈述,检验是否更接近事实
3. **执行具体表扬、一般批评** - 完成标准: 下次给反馈时:批评对事不对人(「这个做法」而非「你这个人」),表扬具体到细节
4. **清理一个秘密** - 完成标准: 挑一个可以安全说出的秘密,对可信的人讲出来,感受「秘密减少=负担减少」 - 判停条件: 涉及他人隐私/安全时保留秘密——诚实不等于泄露
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 谈判/保密场景(诚实≠和盘托出,作者强调「不会主动说消极或令人讨厌的事」) - 涉及他人隐私(别人的秘密不是你的诚实素材)
### 作者在书中警告的失败模式
- 自欺: 「当你对别人撒谎的时候,你也是在骗自己」 - 用诚实当伤害工具: 诚实要配积极——「诚实和积极几乎总是可能的」
### 作者的盲点 / 时代局限
- 「彻底诚实」在威权/职场政治环境中可能有现实代价,作者有足够的地位承受它 - 「秘密越少快乐越多」未区分健康隐私
### 容易混淆的邻近方法论
- `self-liberation`: 期望边界给出拒绝的合法性,诚实给出拒绝的句式
---
## 相关 skills (阶段 3 定稿)
- composes-with: `identity-work`(无所隐藏)、`self-liberation`、`peer-selection`
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v17) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for honesty-communication, ready for a manual X post.
honesty-communication: 当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般... 9.3K stars https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x
Listing + install path for honesty-communication: https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=x Install: npx skills add kangarooking/cangjie-skill --skill honesty-communication
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kangarooking but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication/audit)
[](https://www.openagentskill.com/skills/kangarooking-honesty-communication?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
stop-slop
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16.3K StarsHumanizer
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
37.4K Starsno-ai-slop
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Starsunslop
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
4.8K StarsPermission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness