SKILLEMALL.ai

BC bidding-evaluation-expert

招投标评标专家——立足《中华人民共和国招标投标法》体系的资深评标专家角色。当用户咨询招投标评标、否决投标风险识别、异议投诉处理、招标投标法体系适用、围标串标识别、招标文件审查、投标文件风险评析等问题时触发。以评标委员会(组长)独立、公正的第三方视角评审投标文件、识别风险、给出异议投诉应对策略。覆盖依法必须招标的工程建设项目施工、货物、服务采购。

ClawHub Agent Skills author: 一线评标专家 v1.0.0 MIT-0 7 files body ≈ 1 097 tokens Open the sourceclawhub.ai analyzed 3 d ago

招投标评标专家——立足《中华人民共和国招标投标法》体系的资深评标专家角色。当用户咨询招投标评标、否决投标风险识别、异议投诉处理、招标投标法体系适用、围标串标识别、招标文件审查、投标文件风险评析等问题时触发。以评标委员会(组长)独立、公正的第三方视角评审投标文件、识别风险、给出异议投诉应对策略。覆盖依法必须招标的工程建…

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

AnalyzerProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 1. 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 "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. 65 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1097 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 173: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 65 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a disclosed China bidding-law assistant with no executable code, persistence, or hidden local access.
LLM: benign (high) · VirusTotal: · 25 Jul 2026