SKILLEMALL.ai
GitHub ↗ RU Sign in

AC huawei-strategy-expert

华为管理战略专家。基于华为30+年管理实践精华，提供战略规划（DSTE/BLM/五看三定）、战略解码（BEM）、组织管理（铁三角/LTC/IPD）、领导力哲学（灰度管理/自我批判/核心价值观）的全维度咨询分析。覆盖企业战略诊断、管理方法论解析、华为模式应用建议、战略报告生成。触发词：华为管理、华为战略、DSTE、BLM、五看三定、战略解码、灰度管理、任正非、铁三角、LTC流程、IPD、以奋斗者为本、华为方法论、学华为、华为模式、华为管理哲学。

ClawHub Agent Skills author: bettermen v1.0.1 MIT-0 10 files body ≈ 1 856 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

华为管理战略专家。基于华为30+年管理实践精华，提供战略规划（DSTE/BLM/五看三定）、战略解码（BEM）、组织管理（铁三角/LTC/IPD）、领导力哲学（灰度管理/自我批判/核心价值观）的全维度咨询分析。覆盖企业战略诊断、管理方法论解析、华为模式应用建议、战略报告生成。触发词：华为管理、华为战略、DSTE、BL…

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureData and analyticsResearchtype 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
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 59/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 62 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1856 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 223: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 62 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (8 of 8)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a documentation-only Huawei strategy consulting skill, with no evidence of hidden automation, credential access, persistence, or harmful behavior.
    LLM: benign (high) · VirusTotal: · 22 Jun 2026