SKILLEMALL.ai

BD 合同与招投标文件一致性审查助手

对照招标文件与投标文件(含中标通知书),逐条审查拟签/已签合同是否背离招投标实质性内容(标的、价款、质量、履行期限、违约责任),识别文字游戏与隐蔽让利,输出可审计的合规审查报告。触发词:合同与招标文件不一致、签约前核对、阴阳合同、黑白合同、合同背离投标、审查合同偏离、合同一致性审查、标后合同核对。当用户需要把合同和招/投标文件做一致性比对,或怀疑签约阶段存在变相让利、付款节点变更、违约金调低等情形时使用。

ClawHub Agent Skills author: 一线评标专家 v1.0.0 MIT-0 6 files body ≈ 1 396 tokens Open the sourceclawhub.ai analyzed 3 d ago

对照招标文件与投标文件(含中标通知书),逐条审查拟签/已签合同是否背离招投标实质性内容(标的、价款、质量、履行期限、违约责任),识别文字游戏与隐蔽让利,输出可审计的合规审查报告。触发词:合同与招标文件不一致、签约前核对、阴阳合同、黑白合同、合同背离投标、审查合同偏离、合同一致性审查、标后合同核对。当用户需要把合同和招…

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
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
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: 6. 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")

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 (合同与招投标文件一致性审查助手) differs from the folder (contract-and-tender-document-consistency-review-assistant-1-0-0)
  • 100Tools and files. No external tools needed
  • 100Steps. 67 steps
  • 100Execution cost. Instruction body is 1396 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
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 204: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: clean
This skill is a coherent contract-and-bidding consistency reviewer, with disclosed sensitive document handling but no hidden execution, persistence, or exfiltration behavior found.
LLM: benign (high) · VirusTotal: · 25 Jul 2026