SKILLEMALL.ai

AF alibabacloud-ram-permission-diagnose

Alibaba Cloud RAM permission diagnosis and repair assistant. When an agent encounters any permission-related error while operating Alibaba Cloud resources (403, NoPermission, Forbidden, AccessDenied, InvalidSecurityToken, etc.), or when the user describes an Alibaba Cloud RAM permission issue, use this skill immediately. Do not wait for the user to explicitly request it — proactively start the diagnostic process whenever a permission error appears. Also applies when: a developer encounters permission issues while writing Alibaba Cloud SDK code, the user asks how to configure minimum permissions for an operation, or the user wants to know which permissions the current identity is missing.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.2 MIT-0 7 files body ≈ 2 719 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 46/100 · Will not run — References files that are not bundled: references/cli-installation-guide.md

AnalyzerSoftware developmentInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
82
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: references/cli-installation-guide.md
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

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1

✓ Guard found no suspicious behaviour. 1 matches are attack strings quoted in this security skill's own documentation.

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/cli-installation-guide.md

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: references/cli-installation-guide.md
  • 0Tools and files. 1 referenced file(s) missing: references/cli-installation-guide.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 32 steps, 2 vague phrases
  • 100Failures and branches. 8 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2719 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 696: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (4 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This skill is coherent for Alibaba Cloud permission repair, but it needs review because it can alter local CLI setup and make high-impact cloud access-control changes.
LLM: suspicious (high) · VirusTotal: · 29 May 2026