SKILLEMALL.ai

BD work-report-generator

自动生成工作日报和周报的技能。当用户需要生成工作总结、工作汇报、日报或周报时使用。 技能通过分析git提交记录、TODO注释和工作日志,自动生成结构化的工作报告。 使用此技能的场景包括:用户需要向领导汇报工作进展、总结本周完成的任务、 准备每日站立会议内容、记录工作成果、规划下周工作等。 确保在用户提到"日报"、"周报"、"工作汇报"、"工作总结"、"daily report"、 "weekly report"、"工作记录"、"进度报告"等关键词时触发此技能。

ClawHub Agent Skills author: Flonerze v1.0.0 MIT-0 4 files · 1 script body ≈ 1 253 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorData 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%
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
  • 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: 3. 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 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 (work-report-generator) differs from the folder (daily-report-and-weekly-report)
  • 100Tools and files. No external tools needed
  • 100Steps. 50 steps
  • 100Execution cost. Instruction body is 1253 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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
  • -5TODO / placeholder text left in the skill
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 232: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (10 code blocks)

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

External checks

ClawHub: clean
This appears to be a repository report-generation skill whose broad project scanning is purpose-aligned, but users should scope it carefully before generating shareable reports.
LLM: benign (medium) · VirusTotal: · 29 May 2026