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BC pixel-art

Pixel art w/ era palettes (NES, Game Boy, PICO-8).

nousresearch/hermes-agent Hermes author: NousResearch MIT 7 files · 4 scripts body ≈ 1 790 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Pixel art w/ era palettes (NES, Game Boy, PICO-8).

As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureSoftware developmentMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Hermes Agent
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
50/100
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: hermes-agent

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: 7. 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 50/100

    • 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. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 60Consistency. The Hermes dialect needs category and tags
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 28 steps, 2 vague phrases
    • 100Execution cost. Instruction body is 1790 tokens
    • low 10 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)
    • +3Description length 50: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -31 of 4 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    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 3 скрипта; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

    Из них 2 не дошли до работы, и об их поведении мы ничего не узнали.

    scripts/palettes.pyничего за пределами своей папки
    scripts/pixel_art_video.pyне запустился: ModuleNotFoundError: No module named 'PIL'
    scripts/pixel_art.pyне запустился: ModuleNotFoundError: No module named 'PIL'

    6 Oct 2026