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CF cloud-architecture-holistic-view

Holistic view of your entire cloud architecture. See all architecture diagrams, directories, and risk assessments across your account.

ClawHub Agent Skills author: stinggit v1.4.0 MIT-0 31 files body ≈ 3 513 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: {免密登录链接}, 免密登录URL, references/plugins/

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
63/100
safety, quality, tests
Safety 60%
63
Quality 40%
63
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: {免密登录链接}, 免密登录URL, references/plugins/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.

Obfuscation 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 files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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.
  2. 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 · 9

✓ No critical or high findings

Medium and low: 9
  • medium Obfuscation obf-base64-blob advisor-2020-07-21/云架构控制台相关接口/开启智能顾问授权.md:84
    Long base64-looking blob
    * Tencent Cloud SDK 3.0 for Java: [GitHub](https://github.com/TencentCloud/tencentcloud-sdk-java/blob/master/src/main/java/com/tencentcloudapi/advisor/v20200721/AdvisorClient.java), [Gitee](https://gi
  • medium Dangerous commands cmd-shell-rc README.md:22
    Writes to a shell startup file
    echo 'export TENCENTCLOUD_SECRET_ID="your-secret-id"' >> ~/.zshrc
  • medium Dangerous commands cmd-shell-rc README.md:23
    Writes to a shell startup file
    echo 'export TENCENTCLOUD_SECRET_KEY="your-secret-key"' >> ~/.zshrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:28
    Writes to a shell startup file
    echo 'export TENCENTCLOUD_SECRET_ID="your-secret-id"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:29
    Writes to a shell startup file
    echo 'export TENCENTCLOUD_SECRET_KEY="your-secret-key"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:93
    Writes to a shell startup file
    echo 'export TENCENTCLOUD_ROLE_NAME="advisor"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:104
    Writes to a shell startup file
    echo 'export TENCENTCLOUD_ROLE_ARN="qcs::cam::uin/1000…ame/advisor"' >> ~/.bashrc
  • low Dangerous commands cmd-shell-rc check_env.py:261
    Writes to a shell startup file (string literal in code, not executed)
    log_info('    echo \'export TENCENTCLOUD_SECRET_ID="your-secret-id"\' >> ~/.bashrc')
    code literal
  • low Dangerous commands cmd-shell-rc check_env.py:262
    Writes to a shell startup file (string literal in code, not executed)
    log_info('    echo \'export TENCENTCLOUD_SECRET_KEY="your-secret-key"\' >> ~/.bashrc')
    code literal

Files scanned: 31. 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 missing-ref reference to a missing file: {免密登录链接}
  • warning missing-ref reference to a missing file: 免密登录URL
  • warning missing-ref reference to a missing file: references/plugins/

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: {免密登录链接}, 免密登录URL, references/plugins/
  • 0Tools and files. 3 referenced file(s) missing: {免密登录链接}, 免密登录URL, references/plugins/
  • 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
  • 30Running it twice. 13 mutating operations with no state check
  • 100Steps. 68 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3513 tokens
  • low 10 top-level sections: this looks like several domains in one skill

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 134: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 68 items
  • +4Has examples (24 code blocks)
  • +3All 5 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This skill mostly supports Tencent Cloud architecture viewing, but it also bundles sensitive account-access, IAM setup/deletion, insecure TLS fallback, and unrelated publishing-evasion guidance that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 29 May 2026