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CD senior-secops

SecOps for application security, vulnerability management, compliance, and secure development. Use when implementing security controls, conducting security audits, responding to vulnerabilities, or meeting compliance requirements.

borghei/Claude-Skills Agent Skills author: borghei 16 files · 5 scripts body ≈ 2 015 tokens Open the sourcegithub.com↗ analyzed 7 h ago

SecOps for application security, vulnerability management, compliance, and secure development.

As a process D 47/100 · Unfinished process — References files that are not bundled: references/*.md

AnalyzerSecuritytype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
90
Quality 40%
82
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: references/*.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. The text references files that are not there: add them or drop the references.
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
  • medium Dangerous commands cmd-eval-dynamic assets/sample_app_flawed/app.py:29
    Dynamic code execution from decoded/untrusted input
    os.system("ls " + u)
  • low Risky intent intent-offensive-security references/compliance_requirements.md:59
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - [ ] Penetration testing (annual)
  • low Dangerous commands cmd-eval-dynamic references/security_standards.md:105
    Dynamic code execution from decoded/untrusted input (documentation of a security skill)
    # NEVER use: os.system(f"ping {user_input}")
    security skill
  • low Risky intent intent-offensive-security references/standards-and-playbook.md:78
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Req 11 | Security testing (SAST, DAST, penetration testing) |
  • low Secrets in code secret-password-literal references/standards-and-playbook.md:106
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY = "sk-1…def"
    placeholder
  • low Risky intent intent-offensive-security SKILL.md:93
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Penetration testing execution or red-team operations -- these require specialized tooling and authorized human operators.

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/*.md

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 55Failures and branches. 1 branches
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2015 tokens
  • 100Running it twice. No mutating operations

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 230: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 26 items
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 3 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.