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BC Zen+ Health

Workplace wellness for stress, anxiety, and burnout - mindfulness exercises, breathing techniques, mood check-ins, notifications, timeline, and a full wellbeing catalogue from Zen+ Health

ClawHub Agent Skills author: ollieparsley v1.0.4 4 files body ≈ 859 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

ProcedureInfrastructuretype 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
B
77/100
safety, quality, tests
Safety 60%
75
Quality 40%
79
Run on models
none yet
Process rating
C
55/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
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.

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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Exfiltration net-credential-use SKILL.md:57
      Credential used in a network call (verify the destination is the intended service)
      curl -H "Authorization: Bearer ${ZEN_API_KEY}" \
    • medium Exfiltration net-credential-use SKILL.md:68
      Credential used in a network call (verify the destination is the intended service)
      curl -H "Authorization: Bearer ${ZEN_API_KEY}" \
    • medium Exfiltration net-credential-use SKILL.md:79
      Credential used in a network call (verify the destination is the intended service)
      curl -H "Authorization: Bearer ${ZEN_API_KEY}" \
    • medium Exfiltration net-credential-use SKILL.md:90
      Credential used in a network call (verify the destination is the intended service)
      curl -H "Authorization: Bearer ${ZEN_API_KEY}" \
    • medium Exfiltration net-credential-use SKILL.md:102
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer ${ZEN_API_KEY}" \

    Files scanned: 4. 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)
    • note frontmatter-key unknown frontmatter key "requires_auth"
    • note frontmatter-key unknown frontmatter key "auth_type"
    • note frontmatter-key unknown frontmatter key "base_url_env"
    • note frontmatter-key unknown frontmatter key "api_key_env"

    Process rating: all ten parameters 55/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (Zen+ Health) differs from the folder (zenplus-health)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 23 steps
    • 100Execution cost. Instruction body is 859 tokens
    • 100Progress reporting. Reports progress

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 187: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 23 items
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This is a disclosed read-only Zen+ Health integration, but it can expose sensitive wellness information if used in shared or poorly scoped environments.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026