SKILLEMALL.ai
GitHub ↗ RU Sign in

AC warden-studio

Use Warden Studio (studio.wardenprotocol.org) via browser automation to register/publish a Community Agent to the Warden Agent Hub. Use when you need to (1) log in to Studio, (2) create/submit an agent listing, (3) configure API URL/auth, skills, avatar, and billing model, (4) pay registration + gas, and (5) verify the agent appears in Studio and in Warden's Agent Hub. Designed for safe, repeatable publishing with explicit confirmation gates.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 1 870 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Use Warden Studio (studio.wardenprotocol.org) via browser automation to register/publish a Community Agent to the Warden Agent Hub. Use when you need to (1)…

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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: 2. 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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 21 mutating operations with no state check
    • 40Consistency. Frontmatter name (warden-studio) differs from the folder (warden-studio-deploy)
    • 85Steps. 109 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 1870 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 446: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 109 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.