SKILLEMALL.ai

CB alibabacloud-tair-devtoolset

Alibaba Cloud Tair development toolkit — 7 capabilities covering architecture selection, data structure design, instance creation & configuration, connection management, performance monitoring, error troubleshooting, and backup & recovery. Executes real cloud operations via aliyun CLI (creating instances, modifying whitelists, managing backups, restoring data). Restore operations are high-risk and will overwrite current data. Ensure the RAM account has required permissions (see references/ram-policies.md). Triggers: "tair", "create tair instance", "tair instance", "redis", "data structure", "backup", "PITR", "tair architecture", "tair connection", "tair error".

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.3 MIT-0 18 files · 1 script body ≈ 5 848 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 70/100 · Nearly there — weak spots: result and completion, when it triggers

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
72/100
safety, quality, tests
Safety 60%
63
Quality 40%
86
Run on models
none yet
Process rating
B
70/100
Nearly there
When it triggers w 12
20
Result and completion w 14
40
Tools and files w 18
60
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. 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 · 13

✓ No critical or high findings

Medium and low: 13
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:30
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:45
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:58
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:71
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/instance-creation/connect-create-instance.md:19
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/instance-creation/connect-create-instance.md:24
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • low Secrets in code secret-high-entropy-token references/connection-management/connect-cluster.md:168
    High-entropy token-like string (may be an id, hash or a credential)
    template.setValueSerializer(new Gene…zer());
  • low Secrets in code secret-password-literal references/connection-management/connect-standalone-or-proxy.md:37
    Hard-coded password / key literal (may be an example)
    String password = "r-bp…3p1****:Dat…123";
  • low Secrets in code secret-high-entropy-token references/connection-management/connect-standalone-or-proxy.md:182
    High-entropy token-like string (may be an id, hash or a credential)
    template.setValueSerializer(new Gene…zer());
  • low Secrets in code secret-password-literal references/connection-management/connect-with-tls.md:84
    Hard-coded password / key literal (may be an example)
    password="redistest:Pas***23",
  • low Secrets in code secret-password-literal references/connection-management/connect-with-tls.md:102
    Hard-coded password / key literal (may be an example)
    password="redi…234",
  • low Secrets in code secret-password-literal references/connection-management/connect-with-tls.md:164
    Hard-coded password / key literal (may be an example)
    Password = "redistest:Pas***23",
  • low Secrets in code secret-password-literal references/connection-management/connect-with-tls.md:283
    Hard-coded password / key literal (may be an example)
    Password:  "redistest:Pas***23",

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5848 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 70/100

  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5848 tokens
  • 100Steps. 58 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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

  • +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
  • +5Description quotes 7 example trigger phrases
  • +3Description length 669: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 58 items
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: suspicious
This is a coherent Alibaba Cloud Tair admin skill, but it needs review because it can create billable resources, expose database endpoints, change access rules, restore data, and includes unsafe security examples.
LLM: suspicious (high) · 27 May 2026