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BF cv-builder

Create a free digital identity, professional resume and CV — from classic PDF and HTML layouts to 3D worlds and playable games. Permanent public URL with own slug. Free API for AI agents — basic use without API key, full features with Access-ID. Use when the user wants to build, create, or generate a resume, CV, or set up an online professional profile. ATS-ready.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 8 files body ≈ 5 003 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Create a free digital identity, professional resume and CV — from classic PDF and HTML layouts to 3D worlds and playable games.

As a process F 40/100 · Will not run — References files that are not bundled: review_url, ../shared/access.md, ../shared/errors.md

GeneratorPeople and hiringAI and agentstype 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
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: review_url, ../shared/access.md, ../shared/errors.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5003 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: review_url
  • warning missing-ref reference to a missing file: ../shared/access.md
  • warning missing-ref reference to a missing file: ../shared/errors.md
  • warning missing-ref reference to a missing file: ../shared/privacy.md
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "env_vars"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: review_url, ../shared/access.md, ../shared/errors.md
  • 0Tools and files. 4 referenced file(s) missing: review_url, ../shared/access.md, ../shared/errors.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 17 mutating operations with no state check
  • 40Consistency. Frontmatter name (cv-builder) differs from the folder (id-cv-resume-creator)
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5003 tokens
  • 85Steps. 41 steps, 2 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 top-level sections: this looks like several domains in one skill

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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 366: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.