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DF color-expert

Use when working with color naming, color theory, color spaces, color definitions, or any task involving color knowledge - palettes, ramps, gradients, conversions, accessibility, perceptual matching, pigment mixing, print-vs-screen color, CSS color syntax, or historical color terminology. Use this skill whenever the user is choosing, comparing, generating, naming, converting, or explaining colors, even if they do not explicitly ask for "color theory."

Not recommendedcritical or high security findings · low grade D
meodai/skill.color-expert Agent Skills author: meodai 80 files body ≈ 8 880 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Use when working with color naming, color theory, color spaces, color definitions, or any task involving color knowledge - palettes, ramps, gradients…

As a process F 28/100 · No process to follow — References files that are not bundled: references/INDEX.md, references/techniques/color-cycling-indexed-palette-animation.md, references/techniques/

ProcedureSoftware 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
D
72/100
safety, quality, tests
Safety 60%
80
Quality 40%
59
Run on models
none yet
Process rating
F
28/100
No process to follow
References files that are not bundled: references/INDEX.md, references/techniques/color-cycling-indexed-palette-animation.md, references/techniques/
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

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Obfuscation
If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 3

  • high Obfuscation uni-bidi-override references/contemporary/huevaluechroma/ch11-afterthoughts.md:1375
    Bidirectional override characters (Trojan Source) (1 occurrence)
    (February 2016 – May 2017, Smithsonian Libraries, ␀National Museum of Natural History) and
Medium and low: 2
  • low Secrets in code secret-high-entropy-token references/contemporary/colorandcontrast/color-spaces.md:119
    High-entropy token-like string (may be an id, hash or a credential)
    data:image/png;base64,iVBO…AAA+gAAAHcCAMAAAByCXBEAAACoFBMVEV/fn6D…cnJ
  • low Secrets in code secret-high-entropy-token references/contemporary/colorandcontrast/color-spaces.md:183
    High-entropy token-like string (may be an id, hash or a credential)
    data:image/png;base64,iVBO…fc4/IzgE…zwH

Files scanned: 76. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8880 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/INDEX.md
  • warning missing-ref reference to a missing file: references/techniques/color-cycling-indexed-palette-animation.md
  • warning missing-ref reference to a missing file: references/techniques/
  • warning missing-ref reference to a missing file: references/techniques/color-collapse-tone-mapping.md
  • warning missing-ref reference to a missing file: references/techniques/designbook-reactive-design-token-spec.md
  • warning missing-ref reference to a missing file: references/techniques/strom-least-wrong-colors-simulated-annealing.md
  • warning missing-ref reference to a missing file: references/techniques/lightfield-sunlit-city-palettes.md
  • warning missing-ref reference to a missing file: references/techniques/colorsort-js.md
  • warning missing-ref reference to a missing file: references/historical/INDEX.md
  • warning missing-ref reference to a missing file: references/techniques/ONLINE-TOOLS.md

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: references/INDEX.md, references/techniques/color-cycling-indexed-palette-animation.md, references/techniques/
  • 0Tools and files. 10 referenced file(s) missing: references/INDEX.md, references/techniques/color-cycling-indexed-palette-animation.md, references/techniques/
  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (color-expert) differs from the folder (skill.color-expert)
  • 40Execution cost. Instruction body is 8880 tokens: crowds the task out of the window
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 108 steps, 2 vague phrases
  • low 12 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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 455: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 108 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.