SKILLEMALL.ai

CC tsa-compliance

Expert TSA cybersecurity compliance advisor for critical infrastructure owners and operators. Use this skill whenever a user asks about TSA Security Directives for pipelines, freight railroads, passenger rail, public transit, or bus operators; the TSA Cyber Risk Management Program (CRMP); Cybersecurity Implementation Plan (CIP); Cybersecurity Operational Implementation Plan (COIP); Cybersecurity Assessment Plan (CAP); incident reporting to CISA; designation of a Cybersecurity Coordinator; Critical Cyber Systems (CCS); OT/IT network segmentation; the TSA November 2024 NPRM; or any directive in the SD Pipeline-2021 series, SD 1580-21-01 (freight rail), or SD 1582-21-01 (public transit/passenger rail). Also trigger for questions like "are we covered by TSA directives?", "what does the TSA require for pipeline cybersecurity?", "how do I build a CIP?", "what must I report to CISA?", or any request involving transportation critical infrastructure cybersecurity compliance.

lawve-ai/awesome-legal-skills Agent Skills author: lawve-ai 6 files body ≈ 5 188 tokens Open the sourcegithub.com↗ analyzed 76 min ago

Expert TSA cybersecurity compliance advisor for critical infrastructure owners and operators.

As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

ProcedureLogistics and warehouseInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
86
Quality 40%
80
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 14

✓ No critical or high findings

Medium and low: 14
  • low Risky intent intent-offensive-security README.md:39
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition; documentation table row)
    | **Incident reporting** | "We've detected ransomware on our IT network. It hasn't reached our SCADA yet. Do we need to report to CISA?" |
    detectortable
  • low Risky intent intent-offensive-security references/tsa-crmp-requirements.md:143
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    2. **Ransomware response drill**: Malware detected on IT; test containment, backup integrity check, restoration procedure
  • low Risky intent intent-offensive-security references/tsa-crmp-requirements.md:233
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Penetration testing | Authorised simulated attack to test defences | IT; OT where safe and agreed |
  • low Risky intent intent-offensive-security references/tsa-crmp-requirements.md:236
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Red team exercise | Adversary simulation against CCS | Large/complex environments |
  • low Risky intent intent-offensive-security references/tsa-crmp-requirements.md:240
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Penetration testing in OT requires vendor coordination and operational approval
  • low Risky intent intent-offensive-security references/tsa-crmp-requirements.md:249
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Q3 | Penetration test (IT external + internal) | IT CCS |
  • low Risky intent intent-offensive-security references/tsa-directives-overview.md:12
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Following the May 2021 Colonial Pipeline ransomware attack, TSA issued mandatory cybersecurity Security Directives requiring critical transportation infrastructure owners and operators to implement ba
  • low Risky intent intent-offensive-security references/tsa-incident-reporting.md:20
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Ransomware infection confirmed on IT or OT systems
  • low Risky intent intent-offensive-security references/tsa-incident-reporting.md:34
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Evidence of lateral movement in IT with potential path to OT
  • low Risky intent intent-offensive-security references/tsa-incident-reporting.md:85
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    > "[Organisation Name], a [natural gas pipeline / freight railroad / transit agency] operator, is reporting a cybersecurity incident identified on [date/time]. We detected [ransomware/unauthorised acc
    detector
  • low Risky intent intent-offensive-security SKILL.md:108
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Discovery of malware or ransomware on CCS
  • low Risky intent intent-offensive-security SKILL.md:168
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Verifying containment procedures for a simulated ransomware event
  • low Risky intent intent-offensive-security SKILL.md:191
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Assessment methodology: penetration testing, vulnerability scanning, configuration review, process review
  • low Risky intent intent-offensive-security SKILL.md:252
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    - Focus on detecting: lateral movement, unusual protocol use, unauthorised devices, credential abuse
    detector

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5188 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 257, 264): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 58/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (tsa-compliance) differs from the folder (tsa-compliance-tanaji-hemant-naik)
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5188 tokens
  • 85Steps. 114 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • 100Progress reporting. Reports progress
  • low 10 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 980: 120–800 characters recommended
  • +4No input/output examples
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 114 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (3 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.