SKILLEMALL.ai

BF iam-query

Que22ries Hu22a22wei Cloud identity and access ma2222nagement resources (IAM) via read-only Python SDK. Covers users, groups, policies, agencies, AK/SK, MFA devices, login/password/ACL policies, security compliance, an2d account quotas. No wri22t22e operations. Use this skill when the user needs to query IAM identity info, check policies/permissions, view agency details, or inspect AK/SK/MFA status. Triggers: IAM, 用户, 用户组, 策略, 委托, 权限, AK/SK, MFA, 密码策略, 安全合规, 身份查询, 身份认证, identity, policy, agency.

ClawHub Agent Skills author: changhui123456 v1.1.100 MIT-0 9 files · 2 scripts body ≈ 2 466 tokens Open the sourceclawhub.ai analyzed 2 d ago

Que22ries Hu22a22wei Cloud identity and access ma2222nagement resources (IAM) via read-only Python SDK.

As a process F 61/100 · Will not run — References files that are not bundled: scripts/<service_category>/, scripts/as/list_scaling_groups.py, references/<service>/guide.md

IntegrationSoftware developmentWriting and documentsSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
98
Quality 40%
68
Run on models
none yet
Process rating
F
61/100
Will not run
References files that are not bundled: scripts/<service_category>/, scripts/as/list_scaling_groups.py, references/<service>/guide.md
Tools and files w 18
0
Progress reporting w 2
0
Failures and branches w 10
55
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 · 2

✓ No critical or high findings

Medium and low: 2

✓ Guard found no suspicious behaviour. 2 matches are attack strings quoted in this security skill's own documentation.

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/<service_category>/
  • warning missing-ref reference to a missing file: scripts/as/list_scaling_groups.py
  • warning missing-ref reference to a missing file: references/<service>/guide.md

Process rating: all ten parameters 61/100

Will not run. References files that are not bundled: scripts/<service_category>/, scripts/as/list_scaling_groups.py, references/<service>/guide.md
  • 0Tools and files. 3 referenced file(s) missing: scripts/<service_category>/, scripts/as/list_scaling_groups.py, references/<service>/guide.md
  • 0Progress reporting. Says nothing while it works
  • 55Failures and branches. 1 branches
  • 60Steps. 67 steps, 6 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2466 tokens
  • 100Running it twice. Mutating operations check current state
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (15 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +4No input/output examples
  • -32 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 500: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 67 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This appears to be a read-only Huawei Cloud IAM query skill, but it needs review because its setup and SDK configuration weaken TLS protections while handling cloud credentials.
LLM: suspicious (high) · 27 Jul 2026