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CF review-against-ai-patterns

创建、编辑或审查任何人类可见产物时使用：方向决定前按风险读取反模式图鉴标本并建立 ANTI-SLOP-CHECK.md，制作中任一图鉴组成形即停下重构并记账，交付前对完整产物做全局扫描与反模板渲染审查；不代替领域 Skill 的专业门槛，也不裁决审美阶段。

EverMind-AI/Raven Agent Skills author: EverMind-AI Apache-2.0 4 files body ≈ 316 tokens Open the sourcegithub.com↗ analyzed 5 d ago

创建、编辑或审查任何人类可见产物时使用：方向决定前按风险读取反模式图鉴标本并建立 ANTI-SLOP-CHECK.md，制作中任一图鉴组成形即停下重构并记账，交付前对完整产物做全局扫描与反模板渲染审查；不代替领域 Skill 的专业门槛，也不裁决审美阶段。

As a process F 28/100 · No process to follow — References files that are not bundled: references/anti-slop-gallery/page-1.jpg

AnalyzerSoftware 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
C
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
28/100
No process to follow
References files that are not bundled: references/anti-slop-gallery/page-1.jpg
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. 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: 4. 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: references/anti-slop-gallery/page-1.jpg

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: references/anti-slop-gallery/page-1.jpg
  • 0Tools and files. 1 referenced file(s) missing: references/anti-slop-gallery/page-1.jpg
  • 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
  • 20When it triggers. No condition that starts the skill
  • 50Steps. 2 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 316 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 128: enough signal without eating the budget
  • +4Structure: 4 headings
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.