SKILLEMALL.ai

BC sheet-process

腾讯文档智能表格通用筛选处理工具。支持两种模式:工作流模式(一键输出JSON,适合作为下游AI节点输入)和原子模式(引导式问答,可自定义输出格式)。触发词:sheet-process(工作流)、表格筛选/表格处理/表格过滤(原子模式)。当用户在腾讯文档智能表格中需要按列进行多条件筛选时使用。

ClawHub Agent Skills author: liuyi v1.2.0 MIT-0 4 files body ≈ 1 603 tokens Open the sourceclawhub.ai analyzed 27 h ago

腾讯文档智能表格通用筛选处理工具。支持两种模式:工作流模式(一键输出JSON,适合作为下游AI节点输入)和原子模式(引导式问答,可自定义输出格式)。触发词:sheet-process(工作流)、表格筛选/表格处理/表格过滤(原子模式)。当用户在腾讯文档智能表格中需要按列进行多条件筛选时使用。

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

ProcedureSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 4. 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. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1603 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

  • +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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 146: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (12 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This Tencent Docs sheet filter matches its stated purpose, but it should be reviewed because it can read connected documents, load code from a hard-coded local path, and save filtered data locally.
LLM: suspicious (high) · VirusTotal: · 31 Jul 2026