SKILLEMALL.ai

AF review-summary

Generate 4-sheet Excel review summary (评审汇总表) from 广联达 export data for budget review projects. Auto-classifies review line items into 7 categories: repeat-billing, omission, quantity, quota-subitem, material-price, other, base-adjustment. Use when: (1) user says "评审汇总表"/"审减底稿"/"审增减明细"/ "审核汇总"/"导出审减成果"/"生成评审底稿", (2) user provides a folder with 广联达导表 files and asks for review output, (3) user needs to produce the 4-sheet review package (评审底稿+汇总表+导表填写+审增减明细), or (4) user wants to auto-classify review changes into the standard 7-category breakdown.

ClawHub Agent Skills author: lialia691691-alt v1.0.0 MIT-0 5 files body ≈ 174 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: assets/评审汇总表模板(四张表).xls

AnalyzerWriting and documentsData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/评审汇总表模板(四张表).xls
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. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/评审汇总表模板(四张表).xls

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/评审汇总表模板(四张表).xls
  • 0Tools and files. 1 referenced file(s) missing: assets/评审汇总表模板(四张表).xls
  • 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
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 174 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 550: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

External checks

ClawHub: clean
The supplied scan signals do not show malicious behavior, and the visible artifacts appear coherent with normal developer-assistant workflows.
LLM: benign (medium) · VirusTotal: · 29 May 2026