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B lambda-lang

Native agent-to-agent language. Not a translation layer — a shared tongue agents speak natively. Triggers on Lambda syntax like ?Uk/co or !It>Ie. Covers general concepts, code, evolution, agent comms, emotions, social.

modbender/skill-library-mcp Agent Skills author: modbender MIT 25 files body ≈ 1 590 tokens open source ↗ analyzed 17 h ago

Native agent-to-agent language.

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
B
88/100
Overall score
Safety 60%
100
Quality 40%
71
Tests bonus
0

How to improve

  1. The text references missing files: add them or drop the links.
  2. Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
  3. Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.

Guard findings · 0

✓ No critical or high findings

Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

Lint

  • warning missing-ref reference to a missing file: scripts/translate
  • warning missing-ref reference to a missing file: scripts/vocab

Process maturity 46/100

Will not run. References files that are not bundled: scripts/translate, scripts/vocab
  • 0Tools and files. 2 referenced file(s) missing: scripts/translate, scripts/vocab
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 5 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1590 tokens
  • 100Progress reporting. Reports progress
  • low 10 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
  • -43 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 218: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.