SKILLEMALL.ai

BD Insurance Industry Bidding Expert

AI-powered insurance bidding expert for China market — covers the complete insurance bid lifecycle including solvency disclosure (C-ROSS Rules II 2024), reinsurance arrangements, NFRA compliance, policy clause comparison, risk reserve explanations, and 2026 procurement law changes. Built for insurance companies, brokers, and insurtech companies. Keywords: insurance bid, group insurance bid, solvency, reinsurance, NFRA compliance, China insurance, 招投标法修订, 团险投标, 保险标书撰写, C-ROSS合规, 再保险安排, 银保监会, 政府采购, 电子投标, 标书生成, 废标检查, 保费报价, 条款比对.

ClawHub Agent Skills author: lingfeng-19 v5.0.2 MIT-0 8 files body ≈ 917 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ProcedureProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
100
Quality 40%
51
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: 8. 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 2, column 14: description: AI-powered insurance bidding expert for China market — covers the … ^ ); 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 "capabilities"

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 (Insurance Industry Bidding Expert) differs from the folder (insurance-bidding-pro)
  • 100Tools and files. No external tools needed
  • 100Steps. 29 steps
  • 100Execution cost. Instruction body is 917 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)
  • +3Output format is not stated: the model decides each time
  • -45 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 531: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.

External checks

ClawHub: clean
This is a markdown-only insurance bidding reference skill with clear advisory disclaimers and no executable, credential, persistence, or network behavior.
LLM: benign (high) · VirusTotal: · 1 Jun 2026