SKILLEMALL.ai

AC alibabacloud-oss-ossfs-mount-diagnosis

Read-only diagnostics for ossfs and container OSS mounts. Use when an ossfs mount fails, a mounted directory disappears, an ACK/ACS storage volume mount returns 403, or reading archive objects through a mount returns 403. Attributes causes (credential file, endpoint region, RAM permission, FUSE dependency) and checks bucket region/storage class read-only for the archive direct-read judgment; never executes mounts, never changes anything. Triggers: "ossfs mount failed", "mount directory disappeared", "mount OSS in container", "storage volume mount 403", "ossfs archive read 403". Do NOT use for endpoint selection (use alibabacloud-oss-endpoint-internal-diagnosis), authorization config (use alibabacloud-oss-cross-account-auth-diagnosis), archive restore or lifecycle (use alibabacloud-oss-lifecycle-runtime-diagnosis), or transfer acceleration error codes (use alibabacloud-oss-transfer-error-code-diagnosis).

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 12 files body ≈ 5 914 tokens Open the sourceclawhub.ai analyzed 2 d ago

Read-only diagnostics for ossfs and container OSS mounts.

As a process C 60/100 · Has gaps — weak spots: result and completion, running it twice

AnalyzerKubernetesSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
When it triggers w 12
50
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 · 0

✓ No critical or high findings

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5914 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 60/100

  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 3 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5914 tokens
  • 100Steps. 51 steps
  • 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 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 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

  • +3Description length 916: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 51 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

External checks

ClawHub: suspicious
The skill is mostly a disclosed read-only Alibaba Cloud OSS mount diagnostic, but it uses broad cloud-account metadata access and recommends an unpinned host CLI upgrade that users should review before installing.
LLM: suspicious (high) · 15 Sept 2026