SKILLEMALL.ai
GitHub ↗ RU Sign in

AA call-quality-review

Use when the user asks to review a contact centre conversation against the CRM record and the quality checklist, or says: оцени разговор оператора, проверь звонок по чек-листу, сверь расшифровку с карточкой обращения. Do not use for scoring an employee or for disciplinary decisions: this skill evaluates one conversation, not a person.

skillemall-templates Agent Skills 1 file body ≈ 1 455 tokens analyzed 34 h ago

Use when the user asks to review a contact centre conversation against the CRM record and the quality checklist, or says: оцени разговор оператора, проверь…

As a process A 97/100 · Runs to the end — no weak spots found

AnalyzerContact centreSales and CRMCustomer supporttype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
A
97/100
Runs to the end
Inputs and preconditions w 11
70
Tools and files w 18
100
Steps w 15
100
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 · 0

    ✓ No critical or high findings

    Files scanned: 1. 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 97/100

    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 13 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1455 tokens
    • 100Running it twice. No mutating operations
    • 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
    • +3Output format is not stated: the model decides each time
    • +4Description says when NOT to use the skill
    • +3Description length 336: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (1 code blocks)
    • +1License stated
    • +2Bilingual instructions (RU + EN)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.