SKILLEMALL.ai
GitHub ↗ RU Sign in

CC self-host

Deploy self-hosted applications to any VPS with Docker Compose. Catalog of 18 apps with production-ready configs, Nginx reverse proxy, SSL via Certbot, automated backups, resource limits, and health checks. Use when the user says 'self-host', 'deploy supabase', 'deploy plausible', 'deploy n8n', 'self-hosted', 'host my own', 'deploy umami', 'deploy uptime kuma', 'deploy gitea', 'deploy vaultwarden', 'deploy ghost', 'deploy langfuse', 'deploy ghostfolio', 'deploy minio', 'deploy immich', 'deploy paperless', 'deploy coolify', 'deploy stirling pdf'.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Samih Mansour v1.0.0 MIT-0 2 files body ≈ 8 900 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, consistency, execution cost

GeneratorDockerSupabaseZapierInfrastructuretype 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
C
65/100
safety, quality, tests
Safety 60%
61
Quality 40%
72
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
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. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  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 · 5

  • high Dangerous commands cmd-pipe-to-shell SKILL.md:977
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://cdn.coollabs.io/coolify/install.sh | bash
  • high Dangerous commands cmd-persistence SKILL.md:1277
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; echo "0 3 * * * /opt/backups/backup-${APP_NAME}.sh >> /var/log/backup-${APP_NAME}.log 2>&1") | crontab -
Medium and low: 3
  • low Exfiltration read-dotenv SKILL.md:93
    Reads a .env file
    cp .env.example .env
  • low Dangerous commands cmd-cron-mention SKILL.md:1277
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; echo "0 3 * * * /opt/backups/backup-${APP_NAME}.sh >> /var/log/backup-${APP_NAME}.log 2>&1") | crontab -
  • low Dangerous commands cmd-cron-mention SKILL.md:1331
    Mentions editing / listing crontab (quoted — discussed, not commanded)
    - [ ] Backup cron is running (`crontab -l`)
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8900 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 55/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 24 mutating operations with no state check
  • 40Consistency. Frontmatter name (self-host) differs from the folder (self-host-deployer)
  • 40Execution cost. Instruction body is 8900 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 65Failures and branches. 3 branches
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 34 steps
  • low 12 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

  • +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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 551: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (26 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This self-hosting guide is mostly coherent, but it asks for server credentials and grants broad Docker-host control without enough scoping or safety warnings.
LLM: suspicious (high) · VirusTotal: · 29 May 2026