SKILLEMALL.ai

BB anti-reversing-techniques

AUTHORIZED USE ONLY: This skill contains dual-use security techniques. Before proceeding with any bypass or analysis: > 1.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 2 files body ≈ 748 tokens Open the sourcegithub.com analyzed 26 h ago

AUTHORIZED USE ONLY: This skill contains dual-use security techniques.

As a process B 68/100 · Nearly there — weak spots: result and completion, failures and branches, progress reporting

AnalyzerSecuritySoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
77
Run on models
none yet
Process rating
B
68/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
Result and completion w 14
40
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: anti-reversing-techniques (sickn33/agentic-awesome-skills)

How to improve

    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 Risky intent intent-offensive-security resources/implementation-playbook.md:7
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      Understanding protection mechanisms encountered during authorized software analysis, security research, and malware analysis. This knowledge helps analysts bypass protections to complete legitimate an
    • low Risky intent intent-offensive-security resources/implementation-playbook.md:531
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Malware analysis (defensive)
    • low Risky intent intent-offensive-security SKILL.md:24
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      > 1. **Verify authorization**: Confirm you have explicit written permission from the software owner, or are operating within a legitimate security context (CTF, authorized pentest, malware analysis, s
    • low Risky intent intent-offensive-security SKILL.md:28
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      > **Legitimate use cases**: Malware analysis, authorized penetration testing, CTF competitions, academic security research, analyzing software you own/have rights to
    • low Risky intent intent-offensive-security SKILL.md:33
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Conducting malware analysis or security research in scope

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "risk"
    • note frontmatter-key unknown frontmatter key "source"
    • note frontmatter-key unknown frontmatter key "date_added"

    Process rating: all ten parameters 68/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 40Result and completion. Does not say what the result is
    • 50When it triggers. No condition that starts the skill
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 17 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 748 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 122: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 17 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.