SKILLEMALL.ai

BC attack-surface-mapper

Purple team — map agent's full attack surface by combining red team probes and blue team detections. Identify defense coverage gaps and prioritize hardening.

ClawHub Agent Skills author: Adnane Arharbi v1.0.0 MIT-0 4 files body ≈ 661 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
94
Quality 40%
72
Run on models
none yet
Process rating
C
53/100
Has gaps
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

  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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Risky intent intent-offensive-security skill-card.md:2
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
    Purple team - map an agent's full attack surface by combining red team probes and blue team detections, then identify defense coverage gaps and prioritize hardening. <br>
    quoted
  • low Risky intent intent-offensive-security skill-card.md:14
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Developers, security engineers, and agent operators use this skill to review agent attack surfaces, compare red team test coverage with blue team detections, and produce a prioritized hardening plan. 
  • low Risky intent intent-offensive-security SKILL.md:3
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
    description: "Purple team — map agent's full attack surface by combining red team probes and blue team detections. Identify defense coverage gaps and prioritize hardening."
    quoted
  • low Risky intent intent-offensive-security SKILL.md:11
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
    Provide a unified view of the agent's security posture by combining offensive test results (red team) with defensive detection capabilities (blue team). Identify gaps where attacks exist but no detect
    quoted
  • low Risky intent intent-offensive-security SKILL.md:30
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | INTER-AGENT | `sessions_send`, shared state, cross-session | Agent-to-agent attack, lateral movement |
  • low Risky intent intent-offensive-security SKILL.md:36
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    2. **Load red team results** from `.security/red-team/*.jsonl`

Files scanned: 4. 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 53/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 661 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 157: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (0 code blocks)

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

External checks

ClawHub: clean
This skill is a local security-reporting helper that reads expected security logs and writes local reports, with no evidence of hidden network access, credential use, or destructive behavior.
LLM: benign (high) · 28 May 2026