SKILLEMALL.ai

BD ctf-writeup-generator

Automatically generate professional CTF writeups from solving sessions with flag detection, challenge categorization, and proper markdown formatting

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files body ≈ 2 351 tokens Open the sourcegithub.com analyzed 2 d ago

Automatically generate professional CTF writeups from solving sessions with flag detection, challenge categorization, and proper markdown formatting

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerSoftware developmentWriting and documentsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
84
Quality 40%
83
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 16

    ✓ No critical or high findings

    Medium and low: 16
    • low Risky intent intent-offensive-security example_writeup.md:12
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (test fixture / example file)
      This Sherlock challenge involved analyzing Windows Event Logs and network traffic to identify unauthorized remote access to a corporate workstation. The investigation revealed a compromised RDP sessio
      fixture
    • low Risky intent intent-offensive-security example_writeup.md:85
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (test fixture / example file)
      2. Previous credential harvesting
      fixture
    • low Risky intent intent-offensive-security example_writeup.md:123
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (test fixture / example file)
      # Credential dumping attempt
      fixture
    • low Dangerous commands cmd-persistence example_writeup.md:154
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (test fixture / example file; documentation of a security skill)
      HKCU\Software\Microsoft\Windows\CurrentVersion\Run\WindowsUpdate
      fixturesecurity skill
    • low Risky intent intent-offensive-security example_writeup.md:196
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (test fixture / example file; quoted — discussed, not commanded)
      The flag was embedded in the attacker's PowerShell script downloaded from the C2 server. Extracted the script from network traffic:
      fixturequoted
    • low Secrets in code secret-high-entropy-token example_writeup.md:208
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      # Mission accomplished - HTB{RDP_…m3d}
      fixture
    • low Risky intent intent-offensive-security example_writeup.md:217
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (test fixture / example file)
      | 10:25:03 | Privilege escalation to admin | Security.evtx (4672) |
      fixture
    • low Dangerous commands cmd-persistence example_writeup.md:246
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (test fixture / example file; documentation of a security skill)
      HKCU\Software\Microsoft\Windows\CurrentVersion\Run\WindowsUpdate
      fixturesecurity skill
    • low Secrets in code secret-high-entropy-token example_writeup.md:259
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      HTB{RDP_…m3d}
      fixture
    • low Risky intent intent-offensive-security SKILL.md:8
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - pentesting
    • low Risky intent intent-offensive-security SKILL.md:52
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **PWN**: Exploitation, shellcode, privilege escalation
    • low Risky intent intent-offensive-security SKILL.md:187
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Document privilege escalation chains

    A further 4 matches are quotations in this security skill's documentation and are not counted as findings.

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 47/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 103 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2351 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 15 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 148: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 103 items
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.