SKILLEMALL.ai
RU Sign in

BF ai-sidekick

OpenClaw AI 员工（龙虾）全面调教技能包。覆盖人设配置（SOUL.md）、用户画像（USER.md）、 记忆系统（Memory）、安全防护、技能管理、工作流串联、Token 优化等全生命周期管理。 当用户说"调教龙虾"、"配置 AI"、"训练 AI"、"设置 AI 行为"、"管理记忆"、"安全设置"、"优化 AI" 或任何涉及 OpenClaw Agent 个性化配置、行为规则编写、记忆持久化、安全加固的需求时触发。

ClawHub Agent Skills author: bbroot v1.0.1 MIT-0 2 files body ≈ 1 260 tokens Open the sourceclawhub.ai↗ analyzed 22 h ago

OpenClaw AI 员工（龙虾）全面调教技能包。覆盖人设配置（SOUL.md）、用户画像（USER.md）、 记忆系统（Memory）、安全防护、技能管理、工作流串联、Token 优化等全生命周期管理。 当用户说"调教龙虾"、"配置 AI"、"训练 AI"、"设置 AI…

As a process F 33/100 · Will not run — References files that are not bundled: references/soul-guide.md, references/memory-guide.md, references/security-guide.md

ProcedureAI and agentstype 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
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/soul-guide.md, references/memory-guide.md, references/security-guide.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 2. 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")
  • warning missing-ref reference to a missing file: references/soul-guide.md
  • warning missing-ref reference to a missing file: references/memory-guide.md
  • warning missing-ref reference to a missing file: references/security-guide.md
  • warning missing-ref reference to a missing file: references/workflow-guide.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/soul-guide.md, references/memory-guide.md, references/security-guide.md
  • 0Tools and files. 4 referenced file(s) missing: references/soul-guide.md, references/memory-guide.md, references/security-guide.md
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 56 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1260 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 215: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
This skill is not malware, but it broadly enables automatic persistent memory and backups of personal/project details without clear consent or retention controls.
LLM: suspicious (high) · 8 Jul 2026