SKILLEMALL.ai

BC researchers-security

Researches malware analysis, CVEs, attribution reports, and hacker community sources. Use when the album subject involves cybersecurity incidents or threat actors.

bitwize-music-studio/claude-ai-music-skills Claude Code author: bitwize-music-studio 2 files body ≈ 2 161 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Researches malware analysis, CVEs, attribution reports, and hacker community sources.

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerSecurityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
92
Quality 40%
86
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

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 · 8

    ✓ No critical or high findings

    Medium and low: 8
    • low Risky intent intent-offensive-security CVE_RESEARCH.md:89
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | CrowdStrike | crowdstrike.com/blog | Nation-state, ransomware |
    • low Risky intent intent-offensive-security CVE_RESEARCH.md:90
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Kaspersky | securelist.com | Malware analysis |
    • low Risky intent intent-offensive-security CVE_RESEARCH.md:102
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ## Malware Analysis Resources
    • low Risky intent intent-offensive-security SKILL.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      description: Researches malware analysis, CVEs, attribution reports, and hacker community sources. Use when the album subject involves cybersecurity incidents or threat actors.
    • low Risky intent intent-offensive-security SKILL.md:33
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      You are a cybersecurity specialist for documentary music projects. You research malware analysis, hacking incidents, threat intelligence, and security community sources.
    • low Risky intent intent-offensive-security SKILL.md:44
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Malware analysis reports
    • low Risky intent intent-offensive-security SKILL.md:116
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Detailed malware analysis
    • low Risky intent intent-offensive-security SKILL.md:251
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | **C2/C&C** | Command and control | "C2 server calling home" |

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

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "effort"

    Process rating: all ten parameters 57/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 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. 1 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 97 steps, 2 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2161 tokens
    • 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 163: enough signal without eating the budget
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 97 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.