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DD gog

Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: GIZMO v1.0.0 MIT-0 4 files body ≈ 357 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGmailPersonal productivitytype 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
D
74/100
safety, quality, tests
Safety 60%
81
Quality 40%
60
Run on models
54
No improvement model run: 70% with skill · 39% without
Process rating
D
46/100
Unfinished process
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
This is a copy of a skill from another catalog; the rating counts the canonical one: gog (ClawHub)

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. 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 · 2

  • high Secrets in code meta-credential-files credentials.json
    Credential / dotenv files bundled with the skill (1)
    credentials.json
Medium and low: 1
  • low Secrets in code secret-high-entropy-token credentials.json:1
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    {"installed":{"client_id":"4996…com","project_id":"eco-…-p1","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_u
    quoted

Files scanned: 4. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (gog) differs from the folder (gog-jasmine-yottol)
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Execution cost. Instruction body is 357 tokens
  • low The response is described with custom markup (8 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)
  • +3Description length 76: 120–800 characters recommended
  • +4Structure: 1 headings, hard to scan
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Step-by-step instructions: 20 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

Model run · 7 Sept 2026

With the skill
70%
+30 pp vs baseline
Without the skill (baseline)
39%
triggers: +67% / −100%

No improvement Pass rate 70% is below threshold 80%; Positive triggers activate in 67% of cases (threshold 80%) · 7 cases · $0.055

External checks

ClawHub: suspicious
The skill is mostly a coherent Google Workspace CLI helper, but it ships a real Google OAuth client credential file that is not disclosed or needed for the documented setup.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026