SKILLEMALL.ai

AC ssh-tunnel-swarm

Bash tool that spins up and holds open MANY concurrent SSH tunnels — both forward (-L) and reverse (-R) — driven by a plain-text rules file. One connection block per host: a header line `user@host:port=/path/to/private/key` followed by one or more tunnel lines `forward|reverse local-iface:local-port:remote-iface:remote-port`, blocks separated by blank lines. Each host connection runs in its own background loop (`ssh -N -i <key> -o ExitOnForwardFailure=yes -o ServerAliveInterval=30 -o ServerAliveCountMax=3 -o StrictHostKeyChecking=yes`) and auto-reconnects with a 5s backoff on drop; SIGINT/SIGTERM tears every tunnel down cleanly. Configured entirely via env vars (RULES_FILE, LOG_ENABLED, LOG_FILE, LOG_LEVEL) — no CLI flags. No password auth, key-based only. Use when the user wants to set up/manage multiple SSH forward or reverse tunnels from a single rules file across one or many hosts.

ClawHub Agent Skills author: Ciprian Mandache v1.4.6 MIT-0 3 files body ≈ 1 282 tokens Open the sourceclawhub.ai analyzed 20 h ago

Bash tool that spins up and holds open MANY concurrent SSH tunnels — both forward (-L) and reverse (-R) — driven by a plain-text rules file.

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions

IntegrationPostgreSQLInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
97
Quality 40%
81
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
50
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Dangerous commands cmd-pipe-to-shell-known-host references/setup.md:20
      Pipe-to-shell installer from a well-known host (still executes remote code) (documentation of a security skill)
      wget -qO- https://raw.githubusercontent.com/psyb0t/ssh-tunnel-swarm/master/tools/downloader.sh | bash
      security skill
    • low Dangerous commands cmd-privilege references/setup.md:32
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo mv ssh-tunnel-swarm /usr/local/bin/
      security skill
    • low Dangerous commands cmd-shell-rc references/setup.md:44
      Writes to a shell startup file (documentation of a security skill)
      echo 'export PATH="$HOME/bin:$PATH"' >> ~/.bashrc   # or ~/.zshrc for zsh
      security skill

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "permissions"

    Process rating: all ten parameters 59/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 24 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1282 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +3Description length 898: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: suspicious
    The skill’s SSH tunneling behavior is clearly described, but its install instructions run an unpinned remote GitHub script directly in bash, which needs review before use.
    LLM: suspicious (high) · 1 Aug 2026