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BD path-alerts

Get real-time NJ PATH train service alerts, delays, status updates, and live arrival times. Monitors official Port Authority alerts feed and GTFS-Realtime data.

ClawHub Agent Skills author: Liam Sawyer v1.0.0 MIT-0 10 files body ≈ 409 tokens Open the sourceclawhub.ai↗ analyzed 21 h ago

Get real-time NJ PATH train service alerts, delays, status updates, and live arrival times.

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

ProcedureOperations and projectsSoftware developmenttype 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
B
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
72
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:27
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…55h/ff8EMaJ+cYhy…4pW+sXf9…fFg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:146
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…dfW+r2Wn…xUV+azxA…TQk+2N2X…Rtg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:152
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…UoE+WAfd…VOI+Z3ND4+SZbN…5eA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:337
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…3dS+nxxS…uex+k0GF…oCQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:461
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…oGF+6LucL3/FtiN…07J/ZuRF…EWg==",
    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
  • 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 (path-alerts) differs from the folder (path-alerts-main)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 409 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 160: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
The supplied evidence does not show hidden behavior, sensitive access, persistence, or other material security concerns.
LLM: benign (medium) · VirusTotal: · 14 Jun 2026