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BC ssh-batch-manager

Batch SSH key management. Distribute/remove SSH keys to/from multiple servers with intelligent connectivity pre-check and source tracking.

modbender/skill-library-mcp Agent Skills author: modbender MIT 20 files · 3 scripts body ≈ 246 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Batch SSH key management.

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

ProcedureSecuritySoftware developmenttype 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
B
82/100
safety, quality, tests
Safety 60%
90
Quality 40%
69
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-privilege post-install.sh:33
    Privilege escalation / world-writable permissions
    sudo tee "$SERVICE_FILE" > /dev/null << EOF
  • low Dangerous commands cmd-background-process manage-service.sh:24
    Starts a background / autostarted process
    sudo systemctl enable $SERVICE_NAME
  • low Dangerous commands cmd-background-process post-install.sh:68
    Starts a background / autostarted process
    sudo systemctl enable ${SERVICE_NAME}
  • low Secrets in code secret-password-literal ssh-manager.en.html:840
    Hard-coded password / key literal (may be an example)
    password: encryptedMatch[0]
  • low Secrets in code secret-password-literal ssh-manager.html:855
    Hard-coded password / key literal (may be an example)
    password: encryptedMatch[0]
  • low Dangerous commands cmd-background-process WEB-UI-GUIDE.md:64
    Starts a background / autostarted process
    nohup python3 /home/subline/.openclaw/workspace/skills/ssh-batch-manager/serve-ui.py &

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

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
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 4 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 246 tokens
  • 100Running it twice. No mutating operations

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 138: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.