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BC Zendesk

Manage Zendesk tickets, users, and support workflows with API integration and automation.

ClawHub Agent Skills author: Iván v1.0.0 6 files body ≈ 1 179 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

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
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
73
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Exfiltration net-credential-use setup.md:25
      Credential used in a network call (verify the destination is the intended service) (destination host is a configured variable)
      curl -s -u "$EMAIL/token:$TOKEN" "https://$SUBDOMAIN.zendesk.com/api/v2/users/me.json" | jq .user.name
      variable host
    • low Exfiltration net-credential-use SKILL.md:45
      Credential used in a network call (verify the destination is the intended service) (destination host is a configured variable)
      curl -u "$ZENDESK_EMAIL/token:$ZENDESK_TOKEN" "https://$ZENDESK_SUBDOMAIN.zendesk.com/api/v2/users/me.json"
      variable host
    • low Exfiltration net-credential-use SKILL.md:73
      Credential used in a network call (verify the destination is the intended service) (destination host is a configured variable; quoted — discussed, not commanded)
      Set auth: `AUTH="$ZENDESK_EMAIL/token:$ZENDESK_TOKEN"` and `BASE="https://$ZENDESK_SUBDOMAIN.zendesk.com/api/v2"`
      variable hostquoted

    Files scanned: 6. 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 "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1179 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 14 top-level sections: this looks like several domains in one skill

    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 89: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

    External checks

    ClawHub: suspicious
    The Zendesk skill appears purpose-aligned, but it asks users to persist a Zendesk API token in a plaintext local memory file while enabling access to sensitive support data and ticket/user changes.
    LLM: suspicious (medium) · VirusTotal: suspicious · 28 May 2026