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BC alibabacloud-ddos-native-intercept-query

Alibaba Cloud scenario-based skill. Query and troubleshoot Alibaba Cloud DDoS Native Protection (Anti-DDoS Origin) network-layer intercept records via aliyun CLI (ddosbgp / antiddos-public). Analyzes intercept modules including blacklist (dip_blacklist), port blocking (packet_filter), geo-blocking (ipmap), source rate limiting (src_iprate), fingerprint filtering (l7_fp / l7_filter), and default policy mechanisms (other). Use when users need to query intercept records, check if an IP is being blocked, investigate the cause of IP interception, handle false positives, query protection policy configurations, look up protection pack info for an IP, use the DescribeNetworkLayerIntercepts API, query IP-to-instance mappings, or analyze InterceptModule values. Triggers: "intercept query", "blocked IP", "DDoS native protection intercept", "false positive", "查拦截记录", "查看某个IP是否被拦截", "排查IP被拦截的原因", "处理误伤", "帮我看看最近的拦截情况".

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 9 files body ≈ 8 333 tokens Open the sourceclawhub.ai↗ analyzed 29 h ago

Alibaba Cloud scenario-based skill.

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, execution cost

ProcedureData and analyticstype 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%
95
Quality 40%
80
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
30
Running it twice w 4
30
Result and completion w 14
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Dangerous commands cmd-privilege references/cli-installation-guide.md:30
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo mv aliyun /usr/local/bin/
    security skill
  • low Dangerous commands cmd-privilege references/cli-installation-guide.md:45
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo mv aliyun /usr/local/bin/
    security skill
  • low Dangerous commands cmd-privilege references/cli-installation-guide.md:58
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo mv aliyun /usr/local/bin/
    security skill
  • low Dangerous commands cmd-privilege references/cli-installation-guide.md:71
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo mv aliyun /usr/local/bin/
    security skill

A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8333 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 205, 206): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 58/100

  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 24 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Execution cost. Instruction body is 8333 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Steps. 55 steps, 4 vague phrases
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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)
  • +3Description length 919: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
This looks like a legitimate Alibaba Cloud DDoS troubleshooting skill, but it needs review because it changes local Aliyun CLI and plugin settings while presenting the workflow as read-only.
LLM: suspicious (high) · VirusTotal: · 28 May 2026