SKILLEMALL.ai

BD local-industrial-fund-analysis-writer

地方产业基金投资分析写作专家。面向专业公众号内容生产,产出三类内容:产业投资观察周报、地方产业投资案例分析、产业投资专业文章。受众为地方产业招商人员、政府引导基金/国资GP、投委等专业读者,对标专业公众号(招商引资内参/清科·投资界/母基金研究中心等)深度。内化专业6标尺 + 五层分析(政府层为重点)+ 去AI味写作。自包含,不调用外部专家,不依赖其代码/配置。

ClawHub Agent Skills author: perrykono-debug v1.1.0 MIT-0 2 files body ≈ 1 079 tokens Open the sourceclawhub.ai analyzed 2 d ago

地方产业基金投资分析写作专家。面向专业公众号内容生产,产出三类内容:产业投资观察周报、地方产业投资案例分析、产业投资专业文章。受众为地方产业招商人员、政府引导基金/国资GP、投委等专业读者,对标专业公众号(招商引资内参/清科·投资界/母基金研究中心等)深度。内化专业6标尺 + 五层分析(政府层为重点)+…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
46/100
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: 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")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 62 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1079 tokens
  • 100Running it twice. No mutating operations
  • low 10 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 182: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 62 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill is mostly a coherent writing assistant, but its publication instructions conflict with its stated no-external-write boundary and could cause draft content to be sent to external document services without a clear confirmation gate.
LLM: suspicious (medium) · VirusTotal: · 5 Sept 2026