SKILLEMALL.ai

BB logic-hunter

Hard-core logic verification and evidence tracing tool based on the "Golden Triangle" knowledge mining framework

ClawHub Agent Skills author: ken0122 v1.0.0 5 files body ≈ 1 036 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 67/100 · Nearly there — weak spots: when it triggers, failures and branches, running it twice

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
92
Quality 40%
72
Run on models
none yet
Process rating
B
67/100
Nearly there
Failures and branches w 10
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Risky intent intent-offensive-security README.md:13
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Red Team Challenge** — Automatically finds survivor bias, reverse causality, and other logical vulnerabilities
  • low Risky intent intent-offensive-security README.md:78
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    🔴 Red Team Attack Points
  • low Risky intent intent-offensive-security README.md:125
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    🔴 Red Team Attack Points
  • low Risky intent intent-offensive-security SKILL.md:23
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    4. **Red Team Challenge**: Simulate opponent role to find "survivor bias" or "reverse causality" in current evidence chain
  • low Risky intent intent-offensive-security SKILL.md:68
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    🔴 Red Team Attack Points
  • low Risky intent intent-offensive-security SKILL.md:106
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    4. Execute red team attack to identify vulnerabilities
  • low Risky intent intent-offensive-security SKILL.md:120
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    4. Red team attack: Find survivor bias, reverse causality
  • low Risky intent intent-offensive-security SKILL.md:134
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    🔴 Red Team Attack Points

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 67/100

  • 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. 2 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1036 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)
  • +3Description length 112: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 20 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
Logic Hunter is a coherent fact-checking skill that uses search and a local scoring helper without evidence of hidden, destructive, or privileged behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026