SKILLEMALL.ai
GitHub ↗ RU Sign in

BB autobahn

Operate autonomous onchain-governed entities via agents: identity, governance, contracts, and registry/community workflows.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files · 1 script body ≈ 22 820 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Operate autonomous onchain-governed entities via agents: identity, governance, contracts, and registry/community workflows.

As a process B 76/100 · Nearly there — weak spots: execution cost

ProcedureAI and agentsInfrastructureLegaltype 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
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
66
Run on models
none yet
Process rating
B
76/100
Nearly there
Execution cost w 6
10
When it triggers w 12
50
Tools and files w 18
60
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token SKILL.md:445
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    All USDC transfers between entities must route through the FeeRouter contract (`0x6a…7F5`).
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:451
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Fee recipient:** `0xE0…686` (configurable by admin)
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:839
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "borrower_diamond_address": "0x61…46D",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:1059
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    The `AutoCoMulticall` contract (`0x70…429`) executes multiple calls in strict phase order within a single atomic transaction.
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:1787
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | AutobahnRegistry | `0x5c…EaF` |
    table

Files scanned: 2. 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")
  • warning body-long SKILL.md body ≈ 22820 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 76/100

  • 10Execution cost. Instruction body is 22820 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 437 steps, 3 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 26 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (13 tags): a typed call is more reliable

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)
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 123: enough signal without eating the budget
  • +4Structure: 170 headings
  • +3Step-by-step instructions: 437 items
  • +3Output format is stated explicitly
  • +4Has examples (48 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.