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AB delete-when-unzip

Use when the user wants to extract/unpack large ZIP or RAR archives while disk space is limited, or mentions "delete when unzip", "边解压边删除", "extract and delete processed parts", "flat/unpack files", or segmented (multi-volume) archives (.z01/.zip.001/.part1.rar/.r01) under low free space. This project streams archives chunk by chunk and deletes already-processed parts so you do not need 2x the archive size in free space. Covers which script to run, chunk-size math, and the critical warning that the source archive is destroyed.

ClawHub Agent Skills author: auto-Dog v0.1.1 MIT-0 14 files body ≈ 2 157 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use when the user wants to extract/unpack large ZIP or RAR archives while disk space is limited, or mentions "delete when unzip", "边解压边删除", "extract and…

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureInfrastructuretype 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
94/100
safety, quality, tests
Safety 60%
95
Quality 40%
93
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-password-literal delete_when_unzip_cli.py:111
      Hard-coded password / key literal (may be an example)
      password = sys.argv[3]
    • low Secrets in code secret-password-literal delete_when_unzip_multi.py:88
      Hard-coded password / key literal (may be an example)
      password = sys.argv[3]
    • low Secrets in code secret-password-literal delete_when_unzip_rar_multi.py:171
      Hard-coded password / key literal (may be an example)
      password = sys.argv[3]
    • low Secrets in code secret-password-literal delete_when_unzip_rar.py:165
      Hard-coded password / key literal (may be an example)
      password = sys.argv[3]
    • low Secrets in code secret-password-literal delete_when_unzip.py:78
      Hard-coded password / key literal (may be an example)
      password = sys.argv[3]

    Files scanned: 14. 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 75/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 34 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 31 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2157 tokens

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 532: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 31 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    The skill does what it says, but it handles local archives destructively and has unsafe code paths that could run code or write files outside the intended output folder.
    LLM: suspicious (high) · 2 Sept 2026