SKILLEMALL.ai

BF nextcloud-aio-oc (NextCloud AIO OpenClaw)

Reliable Nextcloud integration for Notes, Tasks, Calendar, Files, and Contacts (CardDAV-safe vCard handling with robust contact create/update).

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 3 files body ≈ 4 288 tokens Open the sourcegithub.com analyzed 2 d ago

Reliable Nextcloud integration for Notes, Tasks, Calendar, Files, and Contacts (CardDAV-safe vCard handling with robust contact create/update).

As a process F 42/100 · Will not run — References files that are not bundled: scripts/nextcloud.js

IntegrationWordPersonal productivityAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
65
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: scripts/nextcloud.js
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read

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

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/nextcloud.js
  • note frontmatter-key unknown frontmatter key "required-binaries"
  • note frontmatter-key unknown frontmatter key "required-env-vars"
  • note frontmatter-key unknown frontmatter key "optional-env-vars"
  • note frontmatter-key unknown frontmatter key "requiredBinaries"
  • note frontmatter-key unknown frontmatter key "requiredEnv"
  • note frontmatter-key unknown frontmatter key "optionalEnv"
  • note frontmatter-key unknown frontmatter key "primaryEnv"

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: scripts/nextcloud.js
  • 0Tools and files. 1 referenced file(s) missing: scripts/nextcloud.js
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 45 mutating operations with no state check
  • 40Consistency. Frontmatter name (nextcloud-aio-oc (NextCloud AIO OpenClaw)) differs from the folder (nextcloud-aio-oc)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4288 tokens
  • 85Steps. 190 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (63 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +2Single-language instructions
  • +3Description length 143: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 190 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.