SKILLEMALL.ai

AC alibabacloud-sas-vul-repair

Alicloud Service Scenario-Based Skill. Use for the vulnerability module of Alibaba Cloud Security Center (SAS): querying and filtering vulnerabilities (by severity/type/asset/status), triggering vulnerability repair and post-fix re-verification, interpreting repair failure error codes (8009, 8037, 9003, etc.) with repository and network troubleshooting, handling "fixed but still detected" status refresh, and manual repair guidance for non-standard systems (self-compiled kernels, non-Alibaba-Cloud hosts, offline environments, custom images, EOL systems). Triggers: "Security Center vulnerability", "vulnerability repair", "vulnerability fix", "fix failed", "repair failed", "vulnerability error code", "fixed but still detected", "re-verify vulnerability", "unfixed vulnerability list", "self-compiled kernel", "manual vulnerability fix", "CVE", "漏洞修复", "修复失败", "漏洞错误码", "已修复仍检出", "重新验证漏洞", "漏洞复检", "未修复漏洞清单", "yum 源超时", "自编译内核", "手动修复漏洞".

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 15 files body ≈ 6 935 tokens Open the sourceclawhub.ai analyzed 3 d ago

Alicloud Service Scenario-Based Skill.

As a process C 63/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting

ProcedureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
97
Quality 40%
80
Run on models
none yet
Process rating
C
63/100
Has gaps
Progress reporting w 2
0
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Risky intent intent-offensive-security references/api-reference.md:432
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | SearchTags | string | No | Filter by tag: reboot required, remote exploit, EXP exists, exploitable, local privilege escalation, code execution |
  • low Dangerous commands cmd-privilege references/cli-installation-guide.md:37
    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:43
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo mv aliyun /usr/local/bin/
    security skill

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6935 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 63/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 16 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Steps. 33 steps, 7 vague phrases
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6935 tokens
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 944: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 17 example trigger phrases
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (12 of 12)

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

External checks

ClawHub: suspicious
The skill fits Alibaba Cloud vulnerability repair, but it includes risky installation, credential, and privileged repair-command guidance that users should review before installing.
LLM: suspicious (high) · 11 Sept 2026