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CF visual-analysis

Verify composed ChatCut edits, compare source frames, locate visual changes, and build labeled contact sheets using the hosted plugin's actual frame delivery.

ChatCut-Inc/agent-plugin Agent Skills author: ChatCut-Inc 1 file body ≈ 1 453 tokens Open the sourcegithub.com↗ analyzed 19 h ago

Verify composed ChatCut edits, compare source frames, locate visual changes, and build labeled contact sheets using the hosted plugin's actual frame delivery.

As a process F 30/100 · No process to follow — References files that are not bundled: scripts/concat-images.mjs, ../asset-import/SKILL.md

AnalyzerSoftware developmentData and analyticsWriting and documentstype 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
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
30/100
No process to follow
References files that are not bundled: scripts/concat-images.mjs, ../asset-import/SKILL.md
Tools and files w 18
0
Steps w 15
0
Result and completion w 14
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: visual-analysis (ChatCut-Inc/agent-plugin)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/concat-images.mjs
  • warning missing-ref reference to a missing file: ../asset-import/SKILL.md

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: scripts/concat-images.mjs, ../asset-import/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: scripts/concat-images.mjs, ../asset-import/SKILL.md
  • 0Steps. Prose only: no discrete steps
  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1453 tokens
  • 100Running it twice. No mutating operations

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 158: enough signal without eating the budget
  • +4Structure: 6 headings
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.