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AC webdav-sync

Archive local files or directories into tar/tar.gz and upload them to a WebDAV endpoint, with optional notifications. Use when the user asks to back up a folder, sync files to WebDAV on a schedule, or update archive exclusions and remote paths. Trigger when user asks->'Sync this folder to WebDAV every night', 'Back up this directory to WebDAV and notify me'. Capabilities->(1) Create deterministic archives with exclude rules, (2) create remote WebDAV directories and upload via PUT, (3) integrate with wrappers and scheduled jobs, (4) evolve sync rules safely over time.

ClawHub Agent Skills author: xyanmi v1.0.4 MIT-0 4 files · 1 script body ≈ 541 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Archive local files or directories into tar/tar.gz and upload them to a WebDAV endpoint, with optional notifications. Use when the user asks to back up a…

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions

IntegrationSoftware developmenttype 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
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
55
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "learnable"

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 541 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 573: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This skill does what it says, but it can upload local archives and WebDAV credentials without enforcing HTTPS, so users should review it before installing.
    LLM: suspicious (high) · VirusTotal: · 14 Sept 2026