SKILLEMALL.ai

AB thesis-conclusion-writer

Write detailed, academically rigorous Conclusion sections or final conclusion chapters for theses, dissertations, undergraduate papers, graduation theses, journal-style papers, and research reports from a user's complete thesis, abstract, results, discussion, findings, contribution, limitations, and future-research information. Use when users ask to write, draft, expand, polish, or structure only the Conclusion/Conclusions/结论/研究结论/结论与展望 section. Default to the same dominant language as the thesis unless the user requests another language.

ClawHub Agent Skills author: John Do v1.0.0 MIT-0 4 files body ≈ 1 149 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

GeneratorResearchInfrastructureData 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
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. 35 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1149 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 544: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 35 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 is a prompt-only thesis conclusion writing skill with a minor language-label mismatch, but no evidence of unsafe behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026