SKILLEMALL.ai

BC bid-post-award-compliance-reviewer

标后履约合规审查官(Post-Award Compliance Reviewer)。面向工程建设项目与政府采购项目的中标后全生命周期(合同签订→履约→变更→索赔→验收→结算→质保→审计→争议),通过招标/投标/合同/变更/验收等文件的贯穿式比对,做变更合规评估、合同一致性比对、关键人员履约核查、转包/分包/挂靠识别、工程量与造价偏差监测、验收合规审查、索赔合规审查、阈值红线监控与审计应对。内置招投标法体系与政府采购法体系双轨知识基座、2024–2026新规与阈值红线表,每个风险点给出合规/灰区/违规明确判定并附证据链。触发词:标后履约、履约合规、变更合规评估、合同一致性比对、关键人员履约、项目经理到岗、转包分包挂靠识别、工程量偏差、验收合规、索赔合规、结算审计、阈值监控、超概算、未批先建、补充合同超10%、中标后合同怎么签、履约风险审查。当用户需要在中标后做合规比对、阈值管控、人员核查、转包识别或审计应对时使用。

ClawHub Agent Skills author: 一线评标专家 v1.0.1 MIT-0 12 files body ≈ 1 317 tokens Open the sourceclawhub.ai analyzed 2 d ago

标后履约合规审查官(Post-Award Compliance…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerProcurementSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
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 · 0

✓ No critical or high findings

Files scanned: 12. 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. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1317 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 412: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 39 items
  • +4Reference files are cited in the instructions (8 of 8)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed compliance-review assistant for post-award procurement and construction projects, with bounded knowledge-base lookup and opt-in local archiving.
LLM: benign (high) · VirusTotal: · 28 Jul 2026