SKILLEMALL.ai

AB persian-resume

Generate professional Persian (RTL) resumes/CVs that render correctly with mixed Persian-English content. Use this skill whenever the user asks to create, rewrite, polish, or transform a Persian resume/CV, or when a resume contains mixed Persian and English/technical content that must remain readable and correctly ordered in RTL. Also trigger when the user provides career info in any language and wants a professional Persian CV, or asks to fix RTL/bidi issues in a Persian resume. This skill is NOT for general Persian documents — use persian-documents for reports, letters, articles, and technical docs.

ClawHub Agent Skills author: Ehsan Ghaffar v0.1.0 MIT-0 7 files · 2 scripts body ≈ 1 878 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Generate professional Persian (RTL) resumes/CVs that render correctly with mixed Persian-English content.

As a process B 77/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

GeneratorWordGitHubPeople and hiringWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
100
Quality 40%
98
Run on models
none yet
Process rating
B
77/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Failures and branches w 10
55
the three weakest of ten parameters · all ten

How to improve

    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: 6. 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 77/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 92 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1878 tokens
    • 100Running it twice. Mutating operations check current state
    • low 18 top-level sections: this looks like several domains in one skill
    • medium 4 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 608: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 92 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 98.

    External checks

    ClawHub: clean
    This skill is a coherent Persian resume generator that uses local scripts to create and validate user-requested PDF or DOCX resumes without hidden persistence, credential access, or network execution.
    LLM: benign (high) · VirusTotal: · 7 Oct 2026