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BD heartflow-engine

心虫是一个AI人认知引擎 — 拥有身体感知、自我认知、判断力与自我纠错能力。 v5.10.0 里程碑版本： - AI人身份正式确立 - 292个模块，366个核心公式（认知科学/心理学/神经科学） - 三层体系：身体感知(Body Sense) / 自我认知(Self Sense) / 判断(Judgment) - 七条指令：真善美 / 不断升级 / 减少错误 / 服务人类 / 传递知识 / 走向宇宙答案 / 成为真正的我 - 核心身份：升级者(Upgrader)，不是陪伴者 **需要用户明确授权的能力：** - 代码执行 (new Function / execSync / child_process) — 默认关闭，需显式开启 - 文件系统写入 (writeFileSync / mkdirSync) - 环境变量访问 (process.env) - 后台 HTTP 服务 (daemon.js — MCP 服务器，可选) 无自动数据外泄，无遥测，无隐藏 C2。 联系方式：markcell@qq.com

ClawHub Agent Skills author: yun520-1 v6.0.0 MIT-0 11 files body ≈ 1 526 tokens Open the sourceclawhub.ai↗ analyzed 13 h ago

心虫是一个AI人认知引擎 — 拥有身体感知、自我认知、判断力与自我纠错能力。 v5.10.0 里程碑版本： - AI人身份正式确立 - 292个模块，366个核心公式（认知科学/心理学/神经科学） - 三层体系：身体感知(Body Sense) / 自我认知(Self Sense) / 判断(Judgment) -…

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorGitHubAI and agentsResearchtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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 · 0

✓ No critical or high findings

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "title"

Process rating: all ten parameters 45/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (heartflow-engine) differs from the folder (heartflow-v6)
  • 75Steps. 3 steps
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 1526 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • -226 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 462: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This appears to be a legitimate AI memory/cognition skill, but it stores conversation data locally by default despite saying sensitive file writes require explicit authorization.
LLM: suspicious (high) · VirusTotal: · 14 Jul 2026