SKILLEMALL.ai

BD Bank Regulatory Reporting Assistant

AI-powered banking regulatory reporting assistant - generate NFRA/PBOC/SAFE reports, 1104 statistical submissions, Basel III capital reports, and compliance documentation. Updated to 2026-08-21: 2026 1104制度升级(金发[2025]40号,53张表)、央行大集中/金数升级、新反洗钱法+FATF第五轮互评估、数字人民币统计、绿色金融(2025版目录)、托管业务G01_Ⅵ、严重失信名单、资本管理办法杠杆率、AI安全/网络安全/保险适当性新规. Keywords: bank regulatory reporting, 1104, Basel III, NFRA, PBOC, SAFE, AML reporting, capital adequacy, 监管报告, 监管报送, NRTA报告, 1104报表, 资本充足率, 反洗钱报告, 统计报送, 数字人民币报送, 托管业务报表, 绿色金融统计, 普惠金融, 严重失信名单, 一表通, 数据治理, 季度报告, 年度报告.

ClawHub Agent Skills author: lingfeng-19 v5.2.2 MIT-0 2 files body ≈ 4 468 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
D
47/100
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 frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: AI-powered banking regulatory reporting assistant - generate NFRA/… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • 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 "triggers"

Process rating: all ten parameters 47/100

  • 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 (Bank Regulatory Reporting Assistant) differs from the folder (bank-regulatory-reporting)
  • 70Execution cost. Instruction body is 4468 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 41 steps
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 537: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (15 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This is a disclosed, markdown-only banking regulatory reporting aid with high-stakes compliance content but no hidden execution, persistence, or data access behavior.
LLM: benign (high) · VirusTotal: · 7 Sept 2026