SKILLEMALL.ai
GitHub ↗ RU Sign in

BD douyin-similar-account

抖音相似账号推荐工具，输入抖音账号名称或账号ID，通过红狐API接口获取本账号数据、内容数据和相似账号推荐数据，深度分析共通点、差异点和优化建议。当用户提到"推荐抖音相似账号"、"找抖音对标"、"抖音同类账号"、"抖音竞品分析"、"找抖音同行"时使用。

ClawHub Agent Skills author: RedFox v1.0.2 MIT-0 7 files body ≈ 1 188 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

抖音相似账号推荐工具，输入抖音账号名称或账号ID，通过红狐API接口获取本账号数据、内容数据和相似账号推荐数据，深度分析共通点、差异点和优化建议。当用户提到"推荐抖音相似账号"、"找抖音对标"、"抖音同类账号"、"抖音竞品分析"、"找抖音同行"时使用。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentAI 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
89/100
safety, quality, tests
Safety 60%
94
Quality 40%
82
Run on models
none yet
Process rating
D
46/100
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

What is at stake

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

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-eval-dynamic query_wrapper.py:15
    Dynamic code execution from decoded/untrusted input
    exec(open('scripts/douyin_similar_account.py', encoding='utf-8').read())
  • low Dangerous commands cmd-shell-rc SKILL.md:173
    Writes to a shell startup file (quoted — discussed, not commanded)
    3. macOS/Linux 用户执行：`echo 'export REDFOX_API_KEY=<你的API Key>' >> ~/.zshrc` 然后 `source ~/.zshrc`
    quoted

Files scanned: 7. 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 46/100

  • 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
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 47 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1188 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -217 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 126: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This Douyin analysis skill mostly matches its stated purpose, but it asks agents to persist and reveal API keys and includes an unsafe wrapper that ignores user input.
LLM: suspicious (high) · 6 Aug 2026