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BD bidding_document_analyzer

专业招投标智能分析工具，深度解析招标文件与投标书内容，自动提取投标准备全流程事项；基于企业知识库自动匹配采购需求并生成技术方案核心内容；识别废标风险、评分弱点与合规注意事项；提供评分模拟分析与中标率预测功能，输出标准化投标辅助清单与竞争分析报告。内置预算-篇幅动态控制引擎。

ClawHub Agent Skills author: boboy v1.2.0 MIT-0 5 files body ≈ 832 tokens Open the sourceclawhub.ai↗ analyzed 3 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
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • 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 "parameters"
  • note frontmatter-key unknown frontmatter key "output_format"
  • note frontmatter-key unknown frontmatter key "max_tokens"
  • note frontmatter-key unknown frontmatter key "temperature"
  • note frontmatter-key unknown frontmatter key "stream"

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 (bidding_document_analyzer) differs from the folder (bidding-analyzer)
  • 100Tools and files. No external tools needed
  • 100Steps. 37 steps
  • 100Execution cost. Instruction body is 832 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
  • +4No input/output examples
  • -215 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 137: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 37 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: clean
This is a prompt-only bidding analysis skill whose sensitive inputs are relevant to its purpose, but users should be careful about what business and competitor information they provide.
LLM: benign (high) · 28 May 2026