SKILLEMALL.ai

BC nist-800-171

Knowledge base from NIST SP 800-171 Rev. 3 (Protecting CUI in Nonfederal Systems). Use for CUI confidentiality requirements on contractors and other nonfederal organizations, the 17 requirement families, ODPs, SSPs, POA&Ms, and tailoring from SP 800-53. Covers 800-171r3 only; does not replace SP 800-171A assessment procedures, full SP 800-53 baselines, CMMC scoring mechanics, or classified-information controls.

jgsystemsconsulting/jgs-se-knowledge-packs Agent Skills author: jgsystemsconsulting 14 files body ≈ 2 148 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Knowledge base from NIST SP 800-171 Rev.

As a process C 60/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ReferenceAI and agentsInfrastructureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
81
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
When it triggers w 12
20
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Risky intent intent-offensive-security chapters/ch07-communications-and-integrity.md:40
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      1. Managed boundaries, deny-by-default networking, and session controls reduce lateral movement and exposure of CUI.
      detector

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2148 tokens
    • 100Progress reporting. Reports progress

    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
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 414: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 39 items
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.