SKILLEMALL.ai

BD littlebeaver-financial-assistant

读取并分析本机“小河狸财报助手”中已导入的财务数据。用户询问公司财务指标、资产负债表、利润表、现金流量表、历年或跨期趋势、财务数据对比、回款金额、本地财务问答时使用;仅通过 localhost 的只读接口访问数据。

ClawHub Agent Skills author: LittleBeaverStudio v1.0.3 MIT-0 6 files body ≈ 712 tokens Open the sourceclawhub.ai analyzed 2 d ago

读取并分析本机“小河狸财报助手”中已导入的财务数据。用户询问公司财务指标、资产负债表、利润表、现金流量表、历年或跨期趋势、财务数据对比、回款金额、本地财务问答时使用;仅通过 localhost 的只读接口访问数据。

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
49/100
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: 6. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (littlebeaver-financial-assistant) differs from the folder (financial-assistant)
  • 100Tools and files. No external tools needed
  • 100Steps. 53 steps
  • 100Execution cost. Instruction body is 712 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)
  • +3Description length 107: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a disclosed local financial-data helper that uses a limited localhost read-only API and does not show hidden persistence, credential use, external exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 31 Jul 2026