SKILLEMALL.ai

BD blender-product-film

Premium 3D product films rendered in Blender (headless, GPU) — dark studio, rim light, light sweeps, glass/liquid/metal materials, condensation and bubbles, macro and orbit camera moves, shallow depth of field, then crisp 2D titles, transitions, music and SFX in the edit. Builds a round product (bottle, can, jar) directly from a user's product photo (real silhouette + projected label), or a procedural one. Use for product launch / hero / commercial films whose reference is 3D or photoreal CG (Apple-style "black stage + a line of light" films), for any request to make a product look expensive, and whenever the video-clone router picks the premium-product-3d style.

edenfunf/reelmimic Agent Skills author: edenfunf 5 files · 4 scripts body ≈ 2 401 tokens Open the sourcegithub.com↗ analyzed 16 h ago

Premium 3D product films rendered in Blender (headless, GPU) — dark studio, rim light, light sweeps, glass/liquid/metal materials, condensation and bubbles…

As a process D 39/100 · Unfinished process — References files that are not bundled: scripts/compare.py

GeneratorBlenderInfrastructureMedia and videoSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
39/100
Unfinished process
References files that are not bundled: scripts/compare.py
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 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/compare.py

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: scripts/compare.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/compare.py
  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 6 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 34 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2401 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 671: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (1 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.