SKILLEMALL.ai

DC pentest-interactive

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Tooled-app v1.0.0 MIT-0 3 files body ≈ 2 590 tokens Open the sourceclawhub.ai analyzed 26 h ago

A vanilla, interactive penetration testing methodology.

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

ProcedureAI and agentsSoftware developmentSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
D
55/100
safety, quality, tests
Safety 60%
92
Quality 40%
0
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 skill-card.md:2
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Provides an interactive, structured reference for authorized manual penetration testing across seven phases with command templates and assessment guidance. <br>
  • low Risky intent intent-offensive-security skill-card.md:27
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - [Pentest Interactive on ClawHub](https://clawhub.ai/tooled-app/pentest-interactive) <br>
  • low Risky intent intent-offensive-security SKILL.md:1
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    # Skill: Interactive Penetration Test
  • low Risky intent intent-offensive-security SKILL.md:4
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    A vanilla, interactive penetration testing methodology. This is a **reference guide for AI agents and security professionals** — it provides structured checklists, read-safe command templates, and "wh
  • low Risky intent intent-offensive-security SKILL.md:12
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Bug bounty prep
  • low Risky intent intent-offensive-security SKILL.md:48
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    [3] Authorization      — IDOR, role checks, privilege escalation
  • low Risky intent intent-offensive-security SKILL.md:306
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    These complementary skills are available on ClawHub and work well alongside this penetration test:

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

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 4 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 36 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2590 tokens
  • 100Progress reporting. Reports progress
  • low 18 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (25 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This is a legitimate manual penetration-testing guide, but it understates the risk of commands that can change state, execute probes, or stress a live service.
LLM: suspicious (high) · VirusTotal: · 28 May 2026