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BC taste-application

Generate new video against a distilled style pack and cut it into a finished piece - plan takes from the reference's cut rhythm, generate on fal, grade with the pack's measured LUT, cut at the measured cadence, weave in existing footage, composite overlay plates, mint 3D props, and verify the result numerically. Use when the user wants to make a video in a captured style, supplement existing footage, or assemble generated clips into a real edit.

affaan-m/everything-claude-code Agent Skills author: affaan-m MIT 80 files · 61 scripts body ≈ 4 802 tokens Open the sourcegithub.com↗ analyzed 25 h ago

Generate new video against a distilled style pack and cut it into a finished piece - plan takes from the reference's cut rhythm, generate on fal, grade with…

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorBlenderMedia and videoSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: 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
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ECC

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: 63. 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 53/100

    • 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. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Execution cost. Instruction body is 4802 tokens
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • low 15 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
    • -37 of 11 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 449: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (4 code blocks)

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

    In the sandbox The scripts kept to themselves

    The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

    Запущено 12 скриптов, ещё 30 не поместились в лимит; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

    Из них 11 не дошли до работы, и об их поведении мы ничего не узнали.

    scripts/apply.pyне запустился: ModuleNotFoundError: No module named 'numpy'
    scripts/blender_prop.pyне запустился: blender_prop.py: error: the following arguments are required: --mesh, --pack
    scripts/distill.pyне запустился: distill.py: error: the following arguments are required: --genre
    scripts/falapi.pyничего за пределами своей папки
    scripts/forge.pyне запустился: ModuleNotFoundError: No module named 'numpy'
    scripts/mint.pyне запустился: ModuleNotFoundError: No module named 'numpy'
    scripts/mint3d.pyне запустился: ModuleNotFoundError: No module named 'numpy'
    scripts/pipeline.pyне запустился: pipeline.py: error: the following arguments are required: --genre
    scripts/resolve_ingest.pyне запустился: ModuleNotFoundError: No module named 'numpy'
    scripts/verify.pyне запустился: ModuleNotFoundError: No module named 'cv2'
    scripts/workflow_graphs.pyне запустился: workflow_graphs.py: error: the following arguments are required: --kind, --config, --out
    scripts/taste/assemble.pyне запустился: ImportError: attempted relative import with no known parent package

    6 Oct 2026