SKILLEMALL.ai

BD voice-reply

语音回复技能 - 每次回复自动生成语音并保存到桌面,支持 Noiz AI TTS

ClawHub Agent Skills author: richardx0319 v1.0.0 MIT-0 9 files body ≈ 348 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
96
Quality 40%
66
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-labelled-token scripts/noiz_tts.py:202
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector
  • low Secrets in code secret-password-literal scripts/noiz_tts.py:202
    Hard-coded password / key literal (may be an example) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector
  • low Secrets in code secret-labelled-token scripts/render_timeline.py:381
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector
  • low Secrets in code secret-password-literal scripts/render_timeline.py:381
    Hard-coded password / key literal (may be an example) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (voice-reply) differs from the folder (voice-reply-oc)
  • 100Tools and files. No external tools needed
  • 100Steps. 21 steps
  • 100Execution cost. Instruction body is 348 tokens
  • 100Running it twice. No mutating operations

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 40: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -35 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This is a real TTS voice-reply skill, but it needs review because it can automatically send replies and voice samples to Noiz, store files and an API key locally, install a dependency at runtime, and exposes broader voice-cloning/timeline features than the description makes clear.
LLM: suspicious (high) · VirusTotal: · 29 May 2026