SKILLEMALL.ai

BC procurement-compliance-advisor

政府采购法体系合规实务与政策执行专家(覆盖货物、服务及非招标工程)。集成智能问答、采购文件审查、案例检索、合规体检、政策功能落实审查、质疑与投诉辅助六大功能,严格优先基于「政府采购实务与合规」知识库作答。 触发:政府采购法条解释、采购方式与程序、采购需求与文件审查、评审定标、合同履约、政策功能落实(中小企业/绿色/乡村振兴/监狱残疾人/进口产品)、质疑与投诉等。 排除:采用招标方式的政府采购工程、非财政性资金的企业自主采购(引导至「招标投标合规实务助手」)。

ClawHub Agent Skills author: 一线评标专家 v1.0.0 MIT-0 5 files body ≈ 1 706 tokens Open the sourceclawhub.ai analyzed 2 d ago

政府采购法体系合规实务与政策执行专家(覆盖货物、服务及非招标工程)。集成智能问答、采购文件审查、案例检索、合规体检、政策功能落实审查、质疑与投诉辅助六大功能,严格优先基于「政府采购实务与合规」知识库作答。…

As a process C 53/100 · Has gaps — 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 0. 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")
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1706 tokens
  • 100Running it twice. No mutating operations
  • low 12 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
  • -236 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 231: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This skill is a scoped government-procurement compliance advisor with disclosed knowledge-base and web-search fallback behavior and no executable or persistence mechanism.
LLM: benign (high) · VirusTotal: · 24 Jul 2026