SKILLEMALL.ai

AC clawhub

Draft Chinese daily reports, weekly/monthly summaries, meeting recaps, study notes, and concise research digests from rough notes, links, chat logs, documents, or web research. Use when the user asks to 写日报、周报、月报、总结、复盘、学习笔记,or to research and explain networking and cybersecurity topics for learning, internal sharing, or defensive understanding.

ClawHub Agent Skills author: 381608544 v1.0.0 MIT-0 5 files body ≈ 870 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 59/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

GeneratorData and analyticsInfrastructuretype 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
C
59/100
Has gaps
Inputs and preconditions w 11
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 59/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (clawhub) differs from the folder (clawhub-report)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 77 steps
    • 100Execution cost. Instruction body is 870 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 346: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 77 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (3 of 3)

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

    External checks

    ClawHub: clean
    This is a markdown-only Chinese writing and research skill whose behavior matches its stated purpose and does not request special system access.
    LLM: benign (high) · VirusTotal: · 29 May 2026