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AF hifi-review

Objective, source-traceable evaluation of HiFi gear — transducers (IEM/HP/TWS) and source gear (DAC/amp/DAP) — as a bilingual, evidence-traced verdict. Use for an objective sound assessment or A/B: "客观评价这条耳机", "这个 DAC 素质如何", "$hifi-review". NOT for buying recommendations, EQ, or speakers.

ClawHub Agent Skills author: VincentJiang06 v1.0.2 MIT-0 38 files body ≈ 1 022 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Objective, source-traceable evaluation of HiFi gear — transducers (IEM/HP/TWS) and source gear (DAC/amp/DAP) — as a bilingual, evidence-traced verdict.

As a process F 39/100 · Will not run — References files that are not bundled: references/*.json

AnalyzerSoftware developmentFinancetype 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: references/*.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 38. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/*.json

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: references/*.json
  • 0Tools and files. 1 referenced file(s) missing: references/*.json
  • 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
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1022 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 289: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 8 items
  • +4Reference files are cited in the instructions (10 of 11)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

External checks

ClawHub: clean
This is a focused HiFi review skill with disclosed evidence-gathering and analysis scripts, and I found no hidden data access, persistence, credential use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 9 Jul 2026