SKILLEMALL.ai

BC investment-analyzer

Investment analysis for properties and ETFs. BUY/PASS/INVESTIGATE verdicts backed by data. Scans Centris for listings, advises DCA allocation. Triggers: analyze property, ETF, scan Centris, 定投, DCA, 投资房, compare real estate vs ETF.

ClawHub Agent Skills author: clairproqc-star v1.0.0 MIT-0 11 files body ≈ 755 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, progress reporting

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
78
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token references/portfolio.md:24
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Google Drive folder**: `1Avp…sbl`
    quoted
  • low Secrets in code secret-high-entropy-token references/portfolio.md:33
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Google Drive folder**: `1APx…5tX`
    quoted
  • low Secrets in code secret-high-entropy-token references/portfolio.md:42
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Spreadsheet**: Longueuil Control `1698…N0g`
    quoted

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")

Process rating: all ten parameters 60/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 755 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 231: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 37 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 5 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This investment skill mostly matches its stated purpose, but it bundles specific personal financial and property details and requests a Gemini API key without a clear runtime need.
LLM: suspicious (high) · VirusTotal: · 29 May 2026