SKILLEMALL.ai

AB weekly-report-generator

Generate polished Chinese R&D weekly reports from recent work logs, chat history, commit notes, or development notes. Use when the user asks to 生成、整理、润色、汇总本周、上周、最近7天或某日期范围的周报/研发周报, especially for tender-agent, RAG, prompt, skill, document parsing, table parsing, scoring-standard, content-generation, export-center, and Agent work. Automatically filters deployment, environment, operations, installation, and troubleshooting details.

ClawHub Agent Skills author: 柯南的栖息地 v1.0.0 MIT-0 5 files body ≈ 936 tokens Open the sourceclawhub.ai analyzed 35 h ago

Generate polished Chinese R&D weekly reports from recent work logs, chat history, commit notes, or development notes.

As a process B 68/100 · Nearly there — weak spots: failures and branches, consistency, running it twice

GeneratorAI and agentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
68/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 68/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (weekly-report-generator) differs from the folder (weekly-report-skill)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 46 steps
    • 100Execution cost. Instruction body is 936 tokens

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 433: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 46 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    The supplied scan evidence shows no malware detections or agent-risk findings, and there is no artifact-backed reason to hold this skill for review.
    LLM: benign (high) · VirusTotal: · 23 Jun 2026