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BC biaoshu-bailian

上传招标/投标文件，AI 一站式完成智能解读（废标红线/评分标准/控标洞察）、成品投标文件(.docx)生成、标书审查（分级风险+雷同检测）和标书查重（2-3份投标文件相似/雷同风险检查）。覆盖投标、招标、标书、投标文件、竞标、围标、控标、废标、评分标准、资格条件、技术标、商务标、暗标、响应文件、应答文件、雷同检测、相似检查、标书查重等场景——当用户提供或提及招标/投标文件、问「这个标能不能投 / 有哪些废标红线 / 帮我写投标书 / 检查标书有没有问题 / 两份投标文件像不像 / 会不会被判雷同」，或想解读招标文件、生成投标文件、做标书审查或查重时使用。需百炼®标书 Api Key（手机号注册赠 5 万字）；文件经百炼®标书云端处理，标书生成消耗可用字数。

ClawHub Agent Skills author: 标书筑造师 v1.0.13 MIT-0 7 files body ≈ 1 955 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

上传招标/投标文件，AI…

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationWordPDFProcurementtype 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%
95
Quality 40%
62
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 9 more places: ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Bash

Files scanned: 7. 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 "permissions"

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (biaoshu-bailian) differs from the folder (biaoshu-writer-turbo)
  • 55Failures and branches. 1 branches
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 65 steps
  • 100Execution cost. Instruction body is 1955 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -224 emoji in the instructions: noise for the model
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 333: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 65 items
  • +4Reference files are cited in the instructions (2 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill is a disclosed cloud bidding-document assistant that uploads user-selected tender/bid files to its service and stores outputs for normal workflow use.
LLM: benign (high) · VirusTotal: · 1 Sept 2026