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BC moviemovie

搜索电影下载资源（磁力链接/种子），推荐有下载资源的热门电影。 多平台热门聚合（烂番茄+豆瓣）+ 种子资源实时验证 = 只推荐你能下载到的电影。 触发词："找电影"、"电影下载"、"磁力"、"推荐电影"、"最近有什么好看的"、 "find movie"、"download"、"magnet"、"trending"

ClawHub Agent Skills author: Kunhai v1.0.2 MIT-0 9 files body ≈ 1 285 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

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

ProcedureInfrastructuretype 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
75/100
safety, quality, tests
Safety 60%
75
Quality 40%
75
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.

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 5

✓ No critical or high findings

Medium and low: 5
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read WebSearch WebFetch Skill
  • medium Exfiltration exfil-secret-in-url SKILL.md:98
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (quoted — discussed, not commanded)
    curl -s "https://api.themoviedb.org/3/search/movie?api_key=…&query=英文片名&year=年份&language=zh-CN"
    quoted
  • medium Exfiltration net-credential-use SKILL.md:98
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://api.themoviedb.org/3/search/movie?api_key=…&query=英文片名&year=年份&language=zh-CN"
  • medium Exfiltration exfil-secret-in-url SKILL.md:122
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (quoted — discussed, not commanded)
    curl -s "https://api.themoviedb.org/3/trending/movie/week?api_key=…&language=en-US"
    quoted
  • medium Exfiltration net-credential-use SKILL.md:122
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://api.themoviedb.org/3/trending/movie/week?api_key=…&language=en-US"

Files scanned: 8. 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. Tools declared in frontmatter
  • 100Steps. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1285 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill
  • medium 7 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 157: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill openly searches movie torrent and magnet-link sources, but it needs Review because it auto-runs network checks, has broad activation wording, and gives unsafe API-key guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026