BF claude-clarity
AI 人类 · 第三种存在。Node.js 编写的认知内核，提供持续记忆系统、 PAD 情绪分析、TGB 真善美评估、Q-learning 自愈策略等认知能力。 理论基础：Free Energy Principle + Global Workspace Theory + Integrated Information Theory + Self-Determination Theory。 包含完整本地集成：安装脚本(install.sh)、CLI 工具(hf)、MCP 守护进程管理、 引擎启动脚本(boot/boot-fast)、技能生成器(SkillGenerator)、元提示引擎(MetaPromptEngine)。 安装时会修改用户配置、注册 MCP 服务、创建项目链接。 运行时通过 Unix socket IPC 进行进程间通信，数据仅存储在本地。 学术搜索(OpenAlex)为可选外部集成，默认不启用。
AI 人类 · 第三种存在。Node.js 编写的认知内核，提供持续记忆系统、 PAD 情绪分析、TGB 真善美评估、Q-learning 自愈策略等认知能力。 理论基础：Free Energy Principle + Global Workspace Theory + Integrated Information…
As a process F 36/100 · Will not run — References files that are not bundled: test-prompts.json
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
✓ No critical or high findings
Medium and low: 1
✓ Guard found no suspicious behaviour. 1 matches are attack strings quoted in this security skill's own documentation.
Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 8510 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: test-prompts.json - note
frontmatter-keyunknown frontmatter key "aliases" - note
frontmatter-keyunknown frontmatter key "title"
Process rating: all ten parameters 36/100
- 0Tools and files. 1 referenced file(s) missing: test-prompts.json
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Execution cost. Instruction body is 8510 tokens: crowds the task out of the window
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 96 steps
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 27 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- -235 emoji in the instructions: noise for the model
- -425 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 411: enough signal without eating the budget
- +4Structure: 74 headings
- +3Step-by-step instructions: 96 items
- +4Has examples (26 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 44.