SKILLEMALL.ai

AC google-workspace

Manage Google Workspace via the `gws` CLI — Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, Tasks, Meet, Slides, Forms, Contacts, and every other Workspace API. Use when: (1) listing, uploading, downloading, or sharing files on Google Drive, (2) reading, sending, labeling, or filtering Gmail messages, (3) creating, updating, or querying Google Calendar events, (4) reading or writing Google Sheets data, (5) creating or editing Google Docs, (6) sending Google Chat messages, (7) managing Google Tasks, (8) any other Google Workspace operation. Wraps the official `gws` CLI which dynamically discovers all Workspace APIs. Outputs structured JSON suitable for agent pipelines.

ClawHub Agent Skills author: eladrave v1.0.2 MIT-0 5 files body ≈ 2 292 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: google-workspace (ClawHub)

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: 5. 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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (google-workspace) differs from the folder (google-workspace-rave)
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 12 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 2292 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

    • +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
    • -2localhost URLs: will not work for another user
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 679: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 12 items
    • +4Has examples (17 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

    External checks

    ClawHub: suspicious
    The skill is openly for controlling Google Workspace, but its setup asks an agent to handle sensitive Google OAuth secrets and callback URLs in chat and workspace files.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026