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AB alibabacloud-oss-transfer-error-code-diagnosis

Zero-cloud-API routing of OSS upload/download error codes to root causes. Do NOT use for: endpoint (alibabacloud-oss-endpoint-internal-diagnosis), billing (alibabacloud-oss-billing-diagnosis), multipart (alibabacloud-oss-multipart-upload-diagnosis), presigned URL (alibabacloud-oss-presigned-url-v4-diagnosis), image processing (alibabacloud-oss-image-processing-diagnosis), deletion/residue (alibabacloud-oss-deletion-recovery-diagnosis), forensics (alibabacloud-oss-security-incident-forensics), client tools (alibabacloud-oss-client-tools-diagnosis), throttling (alibabacloud-oss-quota-throttling-diagnosis). Triggers: "403 AccessDenied during OSS upload", "SignatureDoesNotMatch", "OSS RequestTimeout", "OSS upload timeout", "EntityTooLarge", "SlowDown", "InvalidAccessKeyId", "SecurityTokenExpired", "OSS download fails with 403", "OSS upload failed", "409 BucketAlreadyExists". Skip non-OSS errors (SSH/MySQL/CDN).

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 11 files body ≈ 4 459 tokens Open the sourceclawhub.ai↗ analyzed 11 h ago

Zero-cloud-API routing of OSS upload/download error codes to root causes.

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

IntegrationMySQLSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
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: 11. 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. 12 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 4459 tokens
    • 100Steps. 43 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 1 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 (5 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 920: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 11 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 43 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 3 scripts are documented

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

    External checks

    ClawHub: suspicious
    The skill is mostly a coherent OSS error-diagnosis tool, but it contradicts its offline/no-write promises by performing online documentation lookups and writing a persistent cache.
    LLM: suspicious (high) · 15 Sept 2026