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CF bid-quote-cockpit

通用投标报价对比分析驾驶舱。适用于新门店/新项目收到多家供应商报价（支持多轮回标/澄清后报价），需快速产出「总价排名 + 分部分项横向对比 + 单方造价 + 异常报价核查 + 勾稽校验 + 评分定标 + 行动清单」自包含交互式 HTML 看板的场景，并可直接上线发布（云端 Page / 公开链接）。支持条件模块：历史门店数据、评委打分与定标结论均由使用者**可选**提供（提供才渲染对应节）；评委打分一经提供即**固化进 HTML 字节**，任何人任何设备打开结果一致，页面只读不可改。

ClawHub Agent Skills author: chenzhe223-tech v1.0.0 MIT-0 28 files body ≈ 3 389 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

通用投标报价对比分析驾驶舱。适用于新门店/新项目收到多家供应商报价（支持多轮回标/澄清后报价），需快速产出「总价排名 + 分部分项横向对比 + 单方造价 + 异常报价核查 + 勾稽校验 + 评分定标 + 行动清单」自包含交互式 HTML 看板的场景，并可直接上线发布（云端 Page /…

As a process F 33/100 · No process to follow — References files that are not bundled: references/publish-and-verify.md, references/data-contract.md, references/pitfalls.md

ProcedureProcurementData and analyticstype 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
C
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: references/publish-and-verify.md, references/data-contract.md, references/pitfalls.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 3. 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")
  • warning missing-ref reference to a missing file: references/publish-and-verify.md
  • warning missing-ref reference to a missing file: references/data-contract.md
  • warning missing-ref reference to a missing file: references/pitfalls.md
  • warning missing-ref reference to a missing file: examples/history.json
  • warning missing-ref reference to a missing file: references/score-panel-contract.md
  • warning missing-ref reference to a missing file: references/design-conventions.md
  • warning missing-ref reference to a missing file: references/module-spec.md
  • warning missing-ref reference to a missing file: scripts/build_dashboard.py
  • warning missing-ref reference to a missing file: scripts/gen_score_panel.py
  • warning missing-ref reference to a missing file: scripts/verify_score_frozen.py
  • warning missing-ref reference to a missing file: scripts/verify_dashboard.js
  • warning missing-ref reference to a missing file: scripts/check_overflow.py
  • warning missing-ref reference to a missing file: scripts/dump_rendered.py
  • warning missing-ref reference to a missing file: scripts/lint_py_const_leak.py
  • warning missing-ref reference to a missing file: scripts/normalize_quote.py
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/publish-and-verify.md, references/data-contract.md, references/pitfalls.md
  • 0Tools and files. 15 referenced file(s) missing: references/publish-and-verify.md, references/data-contract.md, references/pitfalls.md
  • 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
  • 30Running it twice. 4 mutating operations with no state check
  • 100Steps. 51 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3389 tokens
  • 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
  • -224 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 244: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 51 items
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
The skill mostly does what it claims, but it can generate and publish sensitive bid dashboards with a real script-injection weakness and insufficient confidentiality gating.
LLM: suspicious (high) · 23 Sept 2026