SKILLEMALL.ai

BC safe-shell-execution

Use this skill whenever an AI agent is about to execute shell commands, run bash/zsh scripts, invoke system operations, or process user-provided command strings. Provides layered safety checks — injection pattern detection, destructive operation warnings, and sensitive file protection — derived from production security engineering in Claude Code. Trigger even for "simple" commands: the most dangerous injections often hide in seemingly innocent inputs. If a user asks you to run any command, execute a script, or use a shell tool, this skill applies.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: lizlzzzz v1.0.0 MIT-0 2 files body ≈ 1 505 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerAI and agentsSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
77
Quality 40%
74
Run on models
none yet
Process rating
C
53/100
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

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.
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 · 2

  • high Dangerous commands cmd-destructive-fs SKILL.md:69
    Destructive filesystem command (wipes root/home/drive) (documentation of a security skill)
    rm -rf / rm -fr / rm -r -f / rm -f -r  → "May recursively force-delete files"
    security skill
Medium and low: 1
  • medium Dangerous commands cmd-persistence SKILL.md:96
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (documentation of a security skill)
    /etc/passwd  /etc/hosts  /etc/sudoers  /etc/crontab
    security skill

Files scanned: 2. 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: Use this skill whenever an AI agent is about to execute shell comm… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

Process rating: all ten parameters 53/100

  • 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. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (safe-shell-execution) differs from the folder (safe-shell-execution-claude-code)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Failures and branches. 2 branches
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 10 steps
  • 100Execution cost. Instruction body is 1505 tokens
  • 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

  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 553: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is an instruction-only shell safety checklist with no executable payload, though users should tighten its handling of very destructive commands for stricter environments.
LLM: benign (high) · VirusTotal: · 29 May 2026