SKILLEMALL.ai

BB s2-vision-projection

S2-SP-OS Vision Cast. Features a universal Protocol Sniffer (AirPlay/Chromecast/DLNA) for native casting, backed by our secure S2 ephemeral push fallback. / S2 视觉投屏。内置通用协议嗅探狗,优先建议原生投屏协议,并辅以 S2 阅后即焚加密推送作为绝对兜底。

ClawHub Agent Skills author: MilesXiang v1.1.0 MIT-0 6 files body ≈ 353 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process B 65/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
97
Quality 40%
67
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token S2-MEMZERO-PROTOCOL.md:5
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    Before any projection, the Agent must read the `supported_protocols` array (e.g., `["Apple_AirPlay", "S2_N…ble"]`).
    quoted
  • low Secrets in code secret-high-entropy-token S2-MEMZERO-PROTOCOL.md:11
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    3. `S2_N…ble` (The absolute secure fallback for image snapshots).
    quoted
  • low Secrets in code secret-high-entropy-token vision_cast.py:65
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    discovered.append("S2_N…ble")
    quoted

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

Process rating: all ten parameters 65/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 75Steps. 3 steps
  • 100Tools and files. Tools declared in frontmatter
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 353 tokens

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 208: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 3 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill is not clearly malicious, but it asks agents to probe LAN devices and route visual content with credentials while consent and scope controls are too loose.
LLM: suspicious (high) · VirusTotal: · 29 May 2026