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AB papermc-ai-ops

Manage PaperMC Minecraft servers through safe, controlled interfaces. Use for server lifecycle management, backups, plugin operations, and health monitoring with backup-first safety policy.

ClawHub Agent Skills author: Yan v2.0.1 MIT-0 27 files · 4 scripts body ≈ 2 263 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 67/100 · Nearly there — weak spots: result and completion, running it twice

ProcedureInfrastructurePeople and hiringSoftware 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
A
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
86
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
When it triggers w 12
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 Secrets in code secret-high-entropy-token publish_skill.py:11
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      API_TOKEN = "clh_…WeY"
      quoted
    • low Secrets in code secret-high-entropy-token publish_to_clawhub.py:13
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      API_TOKEN = "clh_…WeY"
      quoted
    • low Secrets in code secret-high-entropy-token simple_publish.sh:3
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      API_TOKEN="clh_…WeY"
      quoted

    Files scanned: 27. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 67/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 77 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2263 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 15 top-level sections: this looks like several domains in one skill

    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
    • -34 of 6 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 189: enough signal without eating the budget
    • +4Structure: 47 headings
    • +3Step-by-step instructions: 77 items
    • +4Has examples (22 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The skill mostly matches PaperMC server administration, but it ships unrelated publishing tools with hardcoded credentials and broad upload behavior that users should review before installing.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026