SKILLEMALL.ai

BC red-team-tactics

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 1 file body ≈ 1 404 tokens Open the sourcegithub.com analyzed 2 d ago

Red team tactics principles based on MITRE ATT&CK.

As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
78
Run on models
none yet
Process rating
C
64/100
Has gaps
Failures and branches w 10
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: agentic-awesome-skills, 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 SKILL.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
      description: "Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting."
      quoted
    • low Risky intent intent-offensive-security SKILL.md:25
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Red Team Tactics
    • low Risky intent intent-offensive-security SKILL.md:40
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      LATERAL MOVEMENT → COLLECTION → C2 → EXFILTRATION → IMPACT
    • low Risky intent intent-offensive-security SKILL.md:51
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | **Privilege Escalation** | Get admin/root |
    • low Risky intent intent-offensive-security SKILL.md:55
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | **Lateral Movement** | Spread to other systems |

    Files scanned: 1. 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 64/100

    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 25 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1404 tokens
    • 100Progress reporting. Reports progress
    • low 12 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 95: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.