SKILLEMALL.ai

BC rules-of-the-claw

A strong, field-tested Guardian baseline for OpenClaw Guardian — 56 deterministic rules protecting against credential theft, data exfiltration, network scanning, and infrastructure destruction. No LLM voting overhead. Pure regex enforcement at the tool layer.

ClawHub Agent Skills author: Bahuleyan v1.0.0 MIT-0 5 files · 1 script body ≈ 1 170 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
72
Run on models
none yet
Process rating
C
51/100
Has gaps
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration read-dotenv rules-of-the-claw.json:701
    Reads a .env file (detector / deny-list definition)
    "description": "Block capturing sensitive file contents into shell variables (SECRET=$(cat .env), TOKEN=`cat ...`)",
    detector
  • low Exfiltration read-dotenv rules-of-the-claw.json:893
    Reads a .env file (detector / deny-list definition)
    "description": "Block process substitution reading sensitive files (<(cat .env))",
    detector

A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 5. 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 51/100

  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, git, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1170 tokens
  • low 10 top-level sections: this looks like several domains in one skill

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 259: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
This is a protective Guardian ruleset that persistently replaces the local Guardian rule file; its broad blocking and placeholders need review, but no hidden exfiltration or destructive behavior was found.
LLM: benign (high) · VirusTotal: · 29 May 2026