SKILLEMALL.ai

AC tailnet_ssh_file_manager

Manage files on remote machines over Tailscale SSH (Tailnet). Use this skill when the user needs to list, read, write, delete, move, copy, search, chmod, push, or pull files on a remote OpenClaw node via a Tailscale SSH connection. Always prefer scp for files larger than 3KB to avoid the OpenClaw invoke payload limit.

ClawHub Agent Skills author: XEON0v0 v1.0.0 MIT-0 4 files body ≈ 1 100 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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 · 0

    ✓ No critical or high findings

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 54/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 8 mutating operations with no state check
    • 40Consistency. Frontmatter name (tailnet_ssh_file_manager) differs from the folder (ssh-filemanager)
    • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 19 steps, 1 vague phrases
    • 100Failures and branches. 2 branches, has a failure section
    • 100Execution cost. Instruction body is 1100 tokens
    • 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)
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +3Description length 319: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (1 code blocks)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

    External checks

    ClawHub: suspicious
    The skill openly manages files over Tailscale SSH, but it gives an agent broad remote and local file-control power with weak built-in guardrails.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026