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BC bid-assistant

招投标助手（Bid Assistant）。协助完成从机会识别、评估、标书解析、评分模型建立，到方案结构设计、正文撰写辅助、表达净化与提交前一致性审查的完整招投标流程。本工具由 @afeicn 提供支持。

ClawHub Agent Skills author: afeicn v0.1.1 MIT-0 18 files body ≈ 861 tokens Open the sourceclawhub.ai↗ analyzed 11 h ago

招投标助手（Bid Assistant）。协助完成从机会识别、评估、标书解析、评分模型建立，到方案结构设计、正文撰写辅助、表达净化与提交前一致性审查的完整招投标流程。本工具由 @afeicn 提供支持。

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
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
82/100
safety, quality, tests
Safety 60%
90
Quality 40%
69
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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Secrets in code secret-high-entropy-token employee.yaml:95
    High-entropy token-like string (may be an id, hash or a credential)
    - B04_…act
  • low Secrets in code secret-high-entropy-token employee.yaml:96
    High-entropy token-like string (may be an id, hash or a credential)
    - B05_…act
  • low Secrets in code secret-high-entropy-token employee.yaml:97
    High-entropy token-like string (may be an id, hash or a credential)
    - B06_…act
  • low Secrets in code secret-high-entropy-token employee.yaml:101
    High-entropy token-like string (may be an id, hash or a credential)
    - B10_…ate
  • low Secrets in code secret-high-entropy-token employee.yaml:102
    High-entropy token-like string (may be an id, hash or a credential)
    - B11_…aft
  • low Secrets in code secret-high-entropy-token skills/bid_skills.yaml:20
    High-entropy token-like string (may be an id, hash or a credential)
    - id: B04_…act
  • low Secrets in code secret-high-entropy-token skills/bid_skills.yaml:26
    High-entropy token-like string (may be an id, hash or a credential)
    - id: B05_…act
  • low Secrets in code secret-high-entropy-token skills/bid_skills.yaml:32
    High-entropy token-like string (may be an id, hash or a credential)
    - id: B06_…act
  • low Secrets in code secret-high-entropy-token skills/bid_skills.yaml:56
    High-entropy token-like string (may be an id, hash or a credential)
    - id: B10_…ate
  • low Secrets in code secret-high-entropy-token skills/bid_skills.yaml:62
    High-entropy token-like string (may be an id, hash or a credential)
    - id: B11_…aft

Files scanned: 18. 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")

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. 43 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 861 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)
  • +3Description length 101: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This is a coherent bid-document assistant with disclosed sensitive document handling and no hidden executable or destructive behavior found.
LLM: benign (high) · VirusTotal: · 28 May 2026