SKILLEMALL.ai
GitHub ↗ RU Sign in

CC side-project-validator

副业/独立开发项目验证工具。当用户有了一个副业想法、产品 idea、或者想验证某个方向能不能做时使用。帮助分析需求真伪、竞品情况、市场规模、变现可能和实施难度。适用于副业规划、独立开发、产品验证等场景。附带真实案例库、数据调研脚本。

ClawHub Agent Skills author: yoyo v1.0.0 MIT-0 9 files · 3 scripts body ≈ 977 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype 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
C
71/100
safety, quality, tests
Safety 60%
69
Quality 40%
74
Run on models
none yet
Process rating
C
53/100
Has gaps
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 7

✓ No critical or high findings

Medium and low: 7
  • medium Exfiltration exfil-secret-in-url scripts/find-competitors.sh:27
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (quoted — discussed, not commanded)
    echo "https://sspai.com/search?keyword=…"
    quoted
  • medium Exfiltration exfil-secret-in-url scripts/find-competitors.sh:31
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (quoted — discussed, not commanded)
    echo "https://www.coolapk.com/search?keyword=…"
    quoted
  • medium Exfiltration net-credential-use scripts/research-demand.sh:15
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://www.zhihu.com/api/v4/search_v5?q=…&type=topic" 2>/dev/null | \
  • medium Exfiltration exfil-secret-in-url scripts/research-demand.sh:26
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (quoted — discussed, not commanded)
    echo "https://search.bilibili.com/all?keyword=…&order=…"
    quoted
  • medium Exfiltration exfil-secret-in-url scripts/research-demand.sh:30
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (quoted — discussed, not commanded)
    echo "https://www.xiaohongshu.com/search_result?keyword=…"
    quoted
  • medium Exfiltration net-credential-use scripts/search-trend.sh:15
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://trends.google.com/trends/explore?q=… $KEYWORD | jq -Rs .)" 2>/dev/null | grep -o '"value":[0-9]*' | head -5 || echo "查询失败"
  • low Exfiltration net-credential-use scripts/find-competitors.sh:19
    Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)
    curl -s "https://api.github.com/search/repositories?q=…&sort=stars&order=desc&per_page=5" 2>/dev/null | \
    known service

Files scanned: 9. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 977 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 116: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -238 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a coherent side-project validation skill whose main risk is that optional research scripts send idea keywords to public web services.
LLM: benign (high) · VirusTotal: · 29 May 2026