SKILLEMALL.ai

CC operating-sliver-c2

Stand up a Sliver C2 server and mTLS listeners, generate cross-platform implants and beacons, and run post-exploitation, pivoting, and BOF/.NET tooling via the Armory for adversary emulation. Use during authorized, rules-of-engagement-bound red-team engagements that need a full open-source C2 lifecycle spanning server setup, implant generation, and post-exploitation tradecraft.

mukul975/Anthropic-Cybersecurity-Skills Agent Skills author: mukul975 Apache-2.0 5 files · 1 script body ≈ 2 824 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Stand up a Sliver C2 server and mTLS listeners, generate cross-platform implants and beacons, and run post-exploitation, pivoting, and BOF/.NET tooling via…

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

GeneratorGitHubData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
94
Quality 40%
75
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Risky intent intent-offensive-security SKILL.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      description: Stand up a Sliver C2 server and mTLS listeners, generate cross-platform implants and beacons, and run post-exploitation, pivoting, and BOF/.NET tooling via the Armory for adversary emulat
    • low Risky intent intent-offensive-security SKILL.md:38
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - When demonstrating post-exploitation and lateral movement impact for a report
    • low Dangerous commands cmd-pipe-to-shell SKILL.md:52
      Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation of a security skill; the skill's own vendor host)
      curl https://sliver.sh/install | sudo bash
      security skillvendor-host
    • low Dangerous commands cmd-privilege SKILL.md:52
      Privilege escalation / world-writable permissions (documentation of a security skill)
      curl https://sliver.sh/install | sudo bash
      security skill
    • low Risky intent intent-offensive-security SKILL.md:214
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ### Step 7: Privilege escalation and credential access
    • low Risky intent intent-offensive-security SKILL.md:276
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Sliver (BishopFox) | C2 framework source and releases | https://github.com/BishopFox/sliver |

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "domain"
    • note frontmatter-key unknown frontmatter key "subdomain"
    • note frontmatter-key unknown frontmatter key "nist_csf"
    • note frontmatter-key unknown frontmatter key "mitre_attack"

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 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. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 27 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2824 tokens

    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
    • -42 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 380: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 27 items
    • +4Has examples (18 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.