SKILLEMALL.ai

BF WebSocket Audit

WebSocket security auditor. Scans source code for 10 WebSocket-specific vulnerabilities — plaintext ws:// connections, missing Origin header validation (CSWSH — Cross-Site WebSocket Hijacking), no authentication before accept, missing message size limits, no rate limiting, unauthenticated client broadcasts, reflected message relay (XSS-over-WS), error stack trace leaks, insecure subprotocol negotiation, and missing heartbeat/timeout configuration. Supports Node.js (ws, Socket.IO), Python (websockets, FastAPI, Django Channels), Go (gorilla/websocket), Java (Spring WebSocket), Ruby (ActionCable). Zero external dependencies. Zero competitors on ClawHub.

ClawHub Agent Skills author: Lucius Pang v1.0.3 MIT-0 2 files body ≈ 9 329 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 24/100 · Will not run — References files that are not bundled: ?:connection|upgrade

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
100
Quality 40%
47
Run on models
none yet
Process rating
F
24/100
Will not run
References files that are not bundled: ?:connection|upgrade
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 9329 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ?:connection|upgrade
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 24/100

Will not run. References files that are not bundled: ?:connection|upgrade
  • 0Tools and files. 1 referenced file(s) missing: ?:connection|upgrade
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (WebSocket Audit) differs from the folder (phy-websocket-audit)
  • 40Execution cost. Instruction body is 9329 tokens: crowds the task out of the window
  • 100Steps. 4 steps

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +2Single-language instructions
  • +3Description length 658: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (5 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 47.

External checks

ClawHub: clean
This skill is a disclosed local WebSocket source-code scanner and its file access is proportionate to that purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026