SKILLEMALL.ai

BC bid-rejection-risk-radar

废标风险雷达——专攻招标文件中的否决投标(废标)条款、硬性资质要求、保证金条款及隐性风险点提取。触发词:"废标风险检查""审查否决条款""提取★号条款""封标前检查""风险雷达""检查废标项""否决项清单""标书体检""这个标能不能投""资格审查能不能过""★条款有哪些"。当用户明确要求对招标文件做专项风险筛查时触发。输出结构化检查清单,便于审核人员逐项核对。不适用:招标文件全文解读/翻译、投标文件编制、合同审查、评标打分、报价策略与评分拆解建议。

ClawHub Agent Skills author: 一线评标专家 v1.2.0 MIT-0 4 files body ≈ 2 444 tokens Open the sourceclawhub.ai analyzed 2 d ago

废标风险雷达——专攻招标文件中的否决投标(废标)条款、硬性资质要求、保证金条款及隐性风险点提取。触发词:"废标风险检查""审查否决条款""提取★号条款""封标前检查""风险雷达""检查废标项""否决项清单""标书体检""这个标能不能投""资格审查能不能过""★条款有哪些"。当用户明确要求对招标文件做专项风险筛查时触发…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWordProcurementtype 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
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. 67 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2444 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (16 tags): a typed call is more reliable

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 226: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: clean
This skill is a coherent bid-document risk checklist helper, with no evidence of hidden execution, credential access, or unrelated data handling.
LLM: benign (high) · VirusTotal: · 24 Jul 2026