SKILLEMALL.ai

CC webdav-backup

WebDAV 备份工具 - 将 OpenClaw 工作目录备份到 WebDAV 服务器(如坚果云、Nextcloud、阿里云盘等)。当用户需要备份数据、同步文件到云端、或配置自动备份计划时使用此技能。

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 532 tokens Open the sourcegithub.com analyzed 2 d ago

WebDAV 备份工具 - 将 OpenClaw 工作目录备份到 WebDAV 服务器(如坚果云、Nextcloud、阿里云盘等)。当用户需要备份数据、同步文件到云端、或配置自动备份计划时使用此技能。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
69/100
safety, quality, tests
Safety 60%
64
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • medium Dangerous commands cmd-shell-rc references/config.md:46
    Writes to a shell startup file
    echo 'export WEBDAV_URL="https://dav.jianguoyun.com/dav/"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc references/config.md:47
    Writes to a shell startup file
    echo 'export WEBDAV_USERNAME="your-email"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc references/config.md:48
    Writes to a shell startup file
    echo 'export WEBDAV_PASSWORD="your-password"' >> ~/.bashrc
  • medium Exfiltration net-credential-use references/config.md:56
    Credential used in a network call (verify the destination is the intended service)
    curl -u $WEBDAV_USERNAME:$WEBDAV_PASSWORD -X PROPFIND $WEBDAV_URL
  • medium Dangerous commands cmd-shell-rc SKILL.md:56
    Writes to a shell startup file
    echo 'export WEBDAV_URL="https://dav.jianguoyun.com/dav/"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:57
    Writes to a shell startup file
    echo 'export WEBDAV_USERNAME="your-email"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:58
    Writes to a shell startup file
    echo 'export WEBDAV_PASSWORD="your-password"' >> ~/.bashrc
  • low Dangerous commands cmd-cron-mention references/config.md:64
    Mentions editing / listing crontab
    crontab -e

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 532 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 100: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (7 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: 76.