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BF linkfoxai-image-tool

这是紫鸟开放平台Skill，面向普通用户直接执行任务，无需关心内部调用细节；当用户要求直接完成图片上传、场景裂变、商品替换等当前 Skill 覆盖能力，并希望直接拿到最终结果时，优先通过当前 skill 的本地脚本执行；仅在脚本不存在或执行失败时，才回退到开放平台调用。

ClawHub Agent Skills author: ziniao-open v1.0.0 MIT-0 2 files body ≈ 5 071 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 46/100 · Will not run — References files that are not bundled: scripts/脚本使用指导.md

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
99
Quality 40%
56
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: scripts/脚本使用指导.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation obf-base64-blob SKILL.md:91
    Long base64-looking blob (quoted — discussed, not commanded)
    {"headers":[{"isRoot":false,"name":"Content-Type","id":"w8pqf70e","type":"","value":"application/json","required":1,"desc":""}],"query":[],"body":[{"isRoot":true,"children":[{"isRoot":false,"name":"fi
    quoted

Files scanned: 2. 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 body-long SKILL.md body ≈ 5071 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/脚本使用指导.md

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: scripts/脚本使用指导.md
  • 0Tools and files. 1 referenced file(s) missing: scripts/脚本使用指导.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5071 tokens
  • 100Steps. 77 steps
  • 100Consistency. Name and required fields are in place
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 135: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 77 items
  • +4Has examples (21 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: clean
This image-processing skill is coherent and purpose-aligned, but users should understand that it may store a provider API key locally and upload selected images to the provider.
LLM: benign (medium) · VirusTotal: · 29 May 2026