SKILLEMALL.ai

AB alibabacloud-oss-presigned-url-v4-diagnosis

Zero-cloud-API diagnosis of OSS presigned (share) URL failures and V1-to-V4 migration: parses a pasted URL, routes to causes (expired, clock skew, V1 signature forbidden, credential rotation, method mismatch, malformed x-oss-credential, SDK config misuse, proxy header tampering). Triggers: "share link expired", "SignatureDoesNotMatch on presigned URL", "V1 signature is forbidden", "x-oss-credential error", "signed URL stops working"; Chinese ticket wording routes via the embedded catalog keyword layer. Do NOT use for transfer error codes, billing, endpoints, traffic abuse / AK-leak, CDN back-to-origin or Referer hotlink configuration requests, or other OSS domains (backup / image processing / direct-access links / static hosting) — route to the matching alibabacloud-oss-* skill. A presigned-URL signature failure stays here even when a CDN or a proxy sits in front of the bucket.

ClawHub Agent Skills author: alibabacloud v0.0.1 MIT-0 12 files · 3 scripts body ≈ 4 603 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Zero-cloud-API diagnosis of OSS presigned (share) URL failures and V1-to-V4 migration: parses a pasted URL, routes to causes (expired, clock skew, V1…

As a process B 66/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

IntegrationSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
100
Quality 40%
97
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 66/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 8 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
    • 70Execution cost. Instruction body is 4603 tokens
    • 100Steps. 42 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 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 skill ranks results itself: that belongs to the system behind the tool, not the model
    • low The response is described with custom markup (3 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 890: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.

    External checks

    ClawHub: suspicious
    The skill mainly performs local diagnosis, but it makes documentation network lookups and cache writes despite promising no network or writes.
    LLM: suspicious (high) · 9 Oct 2026