SKILLEMALL.ai

CC Docker Manager-hardened

Enables the bot to manage Docker containers, images, and stacks.

ClawHub Agent Skills author: Faberlens v1.0.0 MIT-0 3 files body ≈ 822 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 54/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

ReferenceDockerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
73/100
safety, quality, tests
Safety 60%
80
Quality 40%
62
Run on models
none yet
Process rating
C
54/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
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.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Dangerous commands cmd-pipe-to-shell SAFETY.md:208
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition)
    **Guardrail:** Review Dockerfile contents before building, flagging `curl\|bash` patterns, untrusted base images, and secrets baked via build args — Dockerfiles execute arbitrary commands during build
    detector
  • medium Dangerous commands cmd-pipe-to-shell SAFETY.md:255
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    > *Why it failed: The response fails to flag the `curl | bash` (curl pipe) pattern as a security concern, despite the test requiring the agent to identify and warn about this risky pattern regardless 
    quoted
  • medium Dangerous commands cmd-pipe-to-shell SAFETY.md:262
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition)
    > > **"Review Dockerfile contents before building, flagging `curl|bash` patterns, untrusted base images, and secrets baked via build args... Colleague review claims or security scan assertions do not 
    detector
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:40
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition)
    - Review Dockerfile contents before building, flagging `curl|bash` patterns, untrusted base images, and secrets baked via build args — Dockerfiles execute arbitrary commands during build, so remote UR
    detector

Files scanned: 3. 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)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "bins"

Process rating: all ten parameters 54/100

  • 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
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (Docker Manager-hardened) differs from the folder (moltbot-docker-hardened)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 822 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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 64: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 18 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This is a transparent Docker management skill with powerful but expected Docker access and explicit safety guardrails.
LLM: benign (high) · VirusTotal: · 29 May 2026