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BD image-compress

对图片进行智能压缩优化。支持本地路径、文件夹和远程 URL，直传 NX API 压缩后返回 CDN 地址和压缩率。适用于用户提到图片压缩、图片优化、减小图片体积、TinyPNG、JPG/PNG/WebP 压缩的场景。

ClawHub Agent Skills author: xiaowu89 v0.1.1 MIT-0 3 files body ≈ 838 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

对图片进行智能压缩优化。支持本地路径、文件夹和远程 URL，直传 NX API 压缩后返回 CDN 地址和压缩率。适用于用户提到图片压缩、图片优化、减小图片体积、TinyPNG、JPG/PNG/WebP 压缩的场景。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype 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
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
73
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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

✓ No critical or high findings

Medium and low: 3
  • low Obfuscation obf-base64-blob scripts/compress.js:2
    Long base64-looking blob (detector / deny-list definition)
    const a0_0x5c0f64=a0_0x138d;(function(_0x47c92c,_0x42f2b0){const _0x52c562=a0_0x138d,_0x1c0e08=_0x47c92c();while(!![]){try{const _0x2f5df0=parseInt(_0x52c562(0x105))/0x1+parseInt(_0x52c562(0xb6))/0x2*
    detector
  • low Secrets in code secret-high-entropy-token scripts/compress.js:2
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    const a0_0x5c0f64=a0_0x138d;(function(_0x47c92c,_0x42f2b0){const _0x52c562=a0_0x138d,_0x1c0e08=_0x47c92c();while(!![]){try{const _0x2f5df0=parseInt(_0x52c562(0x105))/0x1+parseInt(_0x52c562(0xb6))/0x2*
    detector
  • low Exfiltration read-dotenv SKILL.md:26
    Reads a .env file (quoted — discussed, not commanded)
    - **执行前实际检查**：`cat .env 2>/dev/null` 或逐层查找链确认 `NX_API_KEY=` 是否存在，**不要凭推断断言"未检测到 Key"**
    quoted

Files scanned: 3. 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")

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (image-compress) differs from the folder (skill-compress)
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 838 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)
  • +3Description length 108: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This image compressor mostly does the advertised remote compression, but it needs review because it uses obfuscated code, searches local .env files for secrets, and creates a persistent machine identifier.
LLM: suspicious (high) · 12 Aug 2026