SKILLEMALL.ai

AB alibabacloud-oss-lifecycle-runtime-diagnosis

Read-only OSS diagnosis for lifecycle runtime and archive restore. Use when a lifecycle rule does not take effect (loading window, prefix/tag matching, one-way transition, versioning), when an archive / cold archive / deep cold archive object cannot be read (restore tiers, archive direct read), or for storage tiering advice and restore/retrieval fee composition. Triggers: "lifecycle rule not working", "archive file cannot download", "InvalidObjectState", "RestoreAlreadyInProgress", "Overlap for same action type", "The operation is not valid for the object's state", "restore fee", "storage class transition", "cold archive restore duration", "storage tiering". Do NOT use for bill line-items (alibabacloud-oss-billing-diagnosis), data recovery (alibabacloud-oss-deletion-recovery-diagnosis), transfer error codes (alibabacloud-oss-transfer-error-code-diagnosis), backup-tool retrieval fees (alibabacloud-oss-backup-integration-diagnosis), or write operations.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 11 files body ≈ 6 108 tokens Open the sourceclawhub.ai analyzed 2 d ago

Read-only OSS diagnosis for lifecycle runtime and archive restore.

As a process B 65/100 · Nearly there — weak spots: result and completion, running it twice

AnalyzerSoftware 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
B
65/100
Nearly there
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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6108 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 65/100

  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 15 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 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 6108 tokens
  • 100Steps. 51 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 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 (9 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 965: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 10 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 (3 of 3)
  • +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 read-only Alibaba Cloud OSS diagnostic tool, but it can automatically list bucket names across the configured account when the user does not provide a bucket.
LLM: suspicious (high) · 15 Sept 2026