SKILLEMALL.ai

AB thesis-literature-review-writer

Write detailed, academically rigorous Chinese literature review chapters or literature review sections for theses, dissertations, and undergraduate papers from a user's topic, research problem, variables/concepts, theory, method, population, references, and extra information. Use when users ask to write, expand, polish, organize, synthesize, or structure only the Literature Review/Chapter Two/文献综述/国内外研究现状 section, including search scope, conceptual review, theoretical review, empirical review, themes, gaps, critique, summary, and transition to research questions or design.

ClawHub Agent Skills author: John Do v1.0.0 MIT-0 4 files body ≈ 947 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process B 73/100 · Nearly there — weak spots: when it triggers, progress reporting

AnalyzerResearchtype 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
73/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Failures and branches w 10
55
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: 4. 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 73/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 33 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 947 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 579: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 33 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: clean
    This appears to be a narrow academic writing helper, with no evidence of unsafe system access or hidden behavior.
    LLM: benign (medium) · VirusTotal: · 29 May 2026