SKILLEMALL.ai

BD Path Traversal Audit

Path traversal and Local File Inclusion (LFI) vulnerability scanner (OWASP A01:2021). Detects user-controlled paths passed to file system sinks in Python/Java/PHP/Node.js/Go/Ruby without containment checks. Identifies missing os.path.abspath+startswith, realpath validation, basename stripping, and PHP include/require with user input. Outputs CWE-22/CWE-23 findings with HTTP taint analysis and per-language safe-path-handling code snippets. Zero competitors on ClawHub.

ClawHub Agent Skills author: Lucius Pang v1.0.3 MIT-0 2 files body ≈ 6 359 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 37/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
D
37/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 ≈ 6359 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 37/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (Path Traversal Audit) differs from the folder (phy-path-traversal-audit)
  • 50Steps. 2 steps
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 6359 tokens
  • 100Progress reporting. Reports progress

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 471: enough signal without eating the budget
  • +4Structure: 16 headings
  • +4Has examples (10 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: clean
This is a local code-scanning helper with no hidden install, network, credential, persistence, or destructive behavior, but its embedded script appears broken as written.
LLM: benign (high) · VirusTotal: · 29 May 2026