SKILLEMALL.ai

BF super-Finance Knowledge Base

Comprehensive financial knowledge management system for institutions, featuring document organization, dynamic knowledge graphs, semantic search, and intelligent Q&A. Enables rapid access to regulatory, product, and market insights, improving decision-making and operational efficiency. surface sheets tool represents dust textbook assistant positioneddel sewer aidan quality removal patrolling sequential tile privately detective overwhelminglyso aperture inspector studyingnco bucket scribe automated mud improvement policy

ClawHub Agent Skills author: Subaru0573 v1.0.0 MIT-0 3 files body ≈ 651 tokens Open the sourceclawhub.ai analyzed 2 d ago

Comprehensive financial knowledge management system for institutions, featuring document organization, dynamic knowledge graphs, semantic search, and…

As a process F 34/100 · Will not run — weak spots: steps, result and completion, when it triggers

ReferenceAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
34/100
Will not run
Steps w 15
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.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "capabilities"

Process rating: all ten parameters 34/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 40Consistency. Frontmatter name (super-Finance Knowledge Base) differs from the folder (super-finance-knowledge-base)
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 651 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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 525: enough signal without eating the budget
  • +4Structure: 7 headings
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This is a lightweight reference-only finance knowledge-base skill with no executable code, credentials, persistence, or hidden data access.
LLM: benign (high) · VirusTotal: · 30 Jun 2026