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BC fisi

Fachinformatiker für Systemintegration - Unterstützung bei allen Themen der FiSi-Ausbildung/Umschulung. Verwende diesen Skill bei: FiSi-Lehrplan-Themen (Netzwerke, Linux/Windows-Server, Datenbanken, Scripting, IT-Sicherheit, Cloud, Virtualisierung), Prüfungsvorbereitung (AP1/AP2), Projektarbeit, Hausaufgaben, Code-Reviews, Konfigurationsdateien, Examensfragen,typische FiSi-Aufgaben wie "Wie richte ich einen DHCP-Server ein?", "Erkläre mir Subnetting", "Hilf mir bei der Bash-Skript-Aufgabe", "Was braucht man für eine Firewall-Konfiguration?", "Erstelle ein Konzept für...", "Bewerte diese Architektur", "Wie bereite ich mich auf die Abschlussprüfung vor?".

ClawHub Agent Skills author: Alexander Schneider v1.1.0 MIT-0 13 files body ≈ 5 133 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerDockerInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
90
Quality 40%
56
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
When it triggers w 12
20
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-disable-security SKILL.md:600
    Disables a security control (Defender, Gatekeeper, SIP, firewall, execution policy) (documentation of a security skill)
    iptables -F
    security skill
  • low Dangerous commands cmd-background-process references/linux-befehle.md:44
    Starts a background / autostarted process (documentation of a security skill)
    systemctl enable dienst   # Autostart aktivieren
    security skill
  • low Dangerous commands cmd-privilege SKILL.md:142
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo chown www-data:webentwickler /var/www/projekt
    security skill
  • low Dangerous commands cmd-privilege SKILL.md:145
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo chmod 750 /var/www/projekt
    security skill
  • low Dangerous commands cmd-privilege SKILL.md:148
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo chmod g+s /var/www/projekt
    security skill
  • low Dangerous commands cmd-privilege SKILL.md:149
    Privilege escalation / world-writable permissions (documentation of a security skill)
    # oder: sudo chmod 2750 /var/www/projekt
    security skill

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Fachinformatiker für Systemintegration - Unterstützung bei allen T… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5133 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 52/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5133 tokens
  • 100Steps. 118 steps
  • 100Consistency. Name and required fields are in place
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -45 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 661: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 118 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: clean
This is a German IT training skill with powerful admin command examples, but the artifacts are documentation-only and purpose-aligned.
LLM: benign (high) · VirusTotal: · 29 May 2026