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AF headshot-portrait-maker

Generate a polished single-subject headshot from a reference selfie or a short verbal description. Picks a use-case preset (LinkedIn, founder, academic, creator, badge), expands the brief into a 6-dimension creative spec (pose, framing, lighting, palette, texture, mood), shows the spec back for review, then renders one final portrait or three controlled variations. Trigger when the user says "make me a headshot", "generate a LinkedIn photo", "AI portrait", "professional photo", "founder press shot", or asks to polish a selfie into a profile picture.

genspark Agent Skills author: Genspark 1 file body ≈ 2 075 tokens Open the sourcegenspark.ai↗ analyzed 4 d ago

As a process F 68/100 · Will not run — References files that are not bundled: assets/use_case_presets.md, assets/lighting_lens_cheatsheet.md, assets/prompt_template.md

GeneratorResearchtype and topics are labelled automatically from the skill text
Runs in: Genspark 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) OpenClaw Goose OpenCode
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
68/100
Will not run
References files that are not bundled: assets/use_case_presets.md, assets/lighting_lens_cheatsheet.md, assets/prompt_template.md
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/use_case_presets.md
  • warning missing-ref reference to a missing file: assets/lighting_lens_cheatsheet.md
  • warning missing-ref reference to a missing file: assets/prompt_template.md

Process rating: all ten parameters 68/100

Will not run. References files that are not bundled: assets/use_case_presets.md, assets/lighting_lens_cheatsheet.md, assets/prompt_template.md
  • 0Tools and files. 3 referenced file(s) missing: assets/use_case_presets.md, assets/lighting_lens_cheatsheet.md, assets/prompt_template.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 48 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 6 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2075 tokens

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)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 555: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 48 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.