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AC resume-builder

Build, edit, and format professional resumes with PDF import, styled HTML/PDF export, and multi-language support. Use this skill whenever a user mentions resumes, CVs, or curriculum vitae — whether they want to create one from scratch, import and edit an existing PDF resume, add or update sections (education, experience, projects, skills), export to a styled HTML or PDF document, generate multi-language versions, or apply professional formatting. Also triggers for requests like "help me update my CV", "format my resume", "translate my resume to Chinese", or "I need a professional-looking resume".

ClawHub Agent Skills author: chijiang v1.3.4 MIT-0 21 files body ≈ 2 706 tokens Open the sourceclawhub.ai↗ analyzed 14 h ago

Build, edit, and format professional resumes with PDF import, styled HTML/PDF export, and multi-language support.

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

GeneratorPDFPlaywrightPeople and hiringWriting and documentstype 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
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 21. 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 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (resume-builder) differs from the folder (resume-editor)
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 85Steps. 46 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 2706 tokens
    • 100Progress reporting. Reports progress

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -31 of 8 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 603: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 46 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This resume skill mostly matches its stated purpose, but review is warranted because it can start a lingering local write-back server and includes an under-scoped theme helper that can delete arbitrary directories when forced.
    LLM: suspicious (high) · VirusTotal: · 1 Jul 2026