SKILLEMALL.ai

BF 投标模拟评标 · 评标表逆向工程

投标人侧「评标表逆向工程」三合一技能:A 模拟评标(魔鬼评委逐项打分找最弱项)、B 得分点导航+响应覆盖审计(得分地图+隐性丢分/废标风险+形式瑕疵+评分索引表)、C 评标表合规审查(找歧视/违规条款、生成可质疑点清单与法条依据)。支持无脚本降级(LLM 直接结构化抽取)、输入完整性预检、多标段识别、多包差异比对、价格分开标前策略(含边界防幻觉)、法条核验声明;内置 is_knockout 否决红线标记、覆盖初判脚本、format-risk 形式瑕疵状态、禁编造证据/禁骗分/只识别不捏造护栏。

ClawHub Agent Skills author: 一线评标专家 v1.0.0 MIT-0 18 files body ≈ 2 004 tokens Open the sourceclawhub.ai analyzed 2 d ago

投标人侧「评标表逆向工程」三合一技能:A 模拟评标(魔鬼评委逐项打分找最弱项)、B 得分点导航+响应覆盖审计(得分地图+隐性丢分/废标风险+形式瑕疵+评分索引表)、C 评标表合规审查(找歧视/违规条款、生成可质疑点清单与法条依据)。支持无脚本降级(LLM…

As a process F 31/100 · Will not run — References files that are not bundled: references/...

ProcedureWordProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/...
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: 4. 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")
  • warning missing-ref reference to a missing file: references/...

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/...
  • 0Tools and files. 1 referenced file(s) missing: references/...
  • 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 (投标模拟评标 · 评标表逆向工程) differs from the folder (bid-mock-evaluation-1-0-0)
  • 100Steps. 41 steps
  • 100Execution cost. Instruction body is 2004 tokens
  • 100Running it twice. No mutating operations
  • low 10 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
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 249: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill is a disclosed bid-document analysis helper that reads user-provided procurement materials and optionally runs a local parser, with no evidence of hidden data sharing or destructive behavior.
LLM: benign (high) · VirusTotal: · 28 Jul 2026