SKILLEMALL.ai

AC challenger-thesis

以"假想新进入者从0挑战目标公司"的视角,对一家上市/拟上市公司做体系化竞争与投资研究。 当用户提出要研究某公司的护城河、竞争壁垒、行业进入门槛、是否值得长期持有/跟踪, 或说"帮我分析XX公司"、"XX的生意能不能被颠覆"、"我想从0做XX这门生意"、 "拆解XX所在行业"、"XX值不值得长期持有"时,务必使用本 skill。 即使用户没有明确说"竞争分析"或"护城河",只要是对单一公司的深度投研、 行业进入门槛拆解、或长期投资逻辑判断,也应触发本 skill。 NOT for(不要触发):纯行情/盘面/技术面问题;宏观数据点评(CPI、利率、PMI 等); 多公司横向排序或打分;个股买卖时点建议;不涉及单一具体公司的泛行业概述。 本 skill 不提供投资建议,仅输出研究框架与事实分层分析。

ClawHub Agent Skills author: sunrise_lfx v1.0.0 MIT-0 3 files body ≈ 831 tokens Open the sourceclawhub.ai analyzed 3 d ago

以"假想新进入者从0挑战目标公司"的视角,对一家上市/拟上市公司做体系化竞争与投资研究。 当用户提出要研究某公司的护城河、竞争壁垒、行业进入门槛、是否值得长期持有/跟踪, 或说"帮我分析XX公司"、"XX的生意能不能被颠覆"、"我想从0做XX这门生意"、 "拆解XX所在行业"、"XX值不值得长期持有"时,务必使用本…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
57/100
Has gaps
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: 0. 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")

Process rating: all ten parameters 57/100

  • 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
  • 50When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 831 tokens
  • 100Running it twice. No mutating operations

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

  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 352: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 26 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is an instruction-only research framework for single-company competitive analysis, with no hidden code, persistence, credentials, or install-time behavior.
LLM: benign (high) · VirusTotal: · 16 Jun 2026