SKILLEMALL.ai

AC zoho

Interact with Zoho CRM, Projects, and Meeting APIs. Use when managing deals, contacts, leads, tasks, projects, milestones, meeting recordings, or any Zoho workspace data. Triggers on mentions of Zoho, CRM, deals, pipeline, projects, tasks, milestones, meetings, recordings, standups.

ClawHub Agent Skills author: Shreef Entsar v2.0.2 8 files · 1 script body ≈ 2 568 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationSales and CRMInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
87
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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 exfil-secret-in-url scripts/standup-summarizer.sh:157
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      "https://generativelanguage.googleapis.com/upload/v1beta/files?key=…" \
      placeholder
    • low Exfiltration exfil-secret-in-url scripts/standup-summarizer.sh:203
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
      placeholder
    • low Exfiltration exfil-secret-in-url scripts/standup-summarizer.sh:217
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
      placeholder

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "repository"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2568 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)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 283: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (16 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This Zoho skill is purpose-aligned, but it needs review because it combines broad business-data authority, local long-lived secrets, destructive examples, and third-party meeting transcription without enough safeguards.
    LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026