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AB resume-builder

Build, rewrite, and tailor premium white-collar resumes from real candidate information, then render the final resume to PDF with Typst. Use when the user wants a professional resume or CV, resume rewrite, JD-targeted resume optimization, or a Typst-generated PDF resume.

ClawHub Agent Skills author: hilaraklesantosw-art v0.1.0 MIT-0 6 files · 1 script body ≈ 968 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Build, rewrite, and tailor premium white-collar resumes from real candidate information, then render the final resume to PDF with Typst.

As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, consistency

GeneratorPeople and hiringtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
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: 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 72/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (resume-builder) differs from the folder (resume-builder-2)
    • 100Tools and files. No external tools needed
    • 100Steps. 58 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 968 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 271: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 58 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This resume-building skill is coherent and purpose-aligned, with no evidence of hidden data access, persistence, exfiltration, or unsafe automatic behavior.
    LLM: benign (high) · VirusTotal: · 15 Sept 2026