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BD 🏗️ Agent Sovereign Stack

Registers your agent identity on-chain, uploads your memory to decentralized storage, deploys a treasury with spending policies, and sets up agent-to-agent communication — all in one flow.

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files body ≈ 826 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Registers your agent identity on-chain, uploads your memory to decentralized storage, deploys a treasury with spending policies, and sets up agent-to-agent…

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

ProcedureAI 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
B
79/100
safety, quality, tests
Safety 60%
92
Quality 40%
59
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token scripts/comms.py:44
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    AGENT_ADDRESS = "0x44…100"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/memory_client.py:43
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    AGENT_ADDRESS = "0x44…100"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/onboard.py:36
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "memory_registry": "0x96…87b",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/onboard.py:37
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "usdc": "0x03…F7e",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/onboard.py:43
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "usdc": "0x83…913",
    quoted
  • low Dangerous commands cmd-pipe-to-shell scripts/onboard.py:213
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    print("  💡 Install: curl -L https://foundry.paradigm.xyz | bash && foundryup")
    detectorcode literal
  • low Secrets in code secret-high-entropy-token SKILL.md:60
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | AgentMemoryRegistry | `0x96…87b` | *Coming soon* |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:61
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | AgentTreasury (Rick's) | `0xBd…02C` | `0x4D…14a` |
    table

Files scanned: 4. 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")

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (🏗️ Agent Sovereign Stack) differs from the folder (agent-sovereign-stack)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 21 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 826 tokens

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
  • -5TODO / placeholder text left in the skill
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 188: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.