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markusdowne/detectability-contract

Creates boundary-point validation contracts, defines invariant-based success criteria, and sets up automated verification probes so reliability workflows trigger on objective evidence rather than intuition. Use when designing robust handoff, memory-persistence, or tool-call reliability workflows; when you need to verify handoffs work, check memory persistence, validate tool calls succeeded, or convert vague reliability goals into concrete, testable checks at each boundary point with explicit failure-class mapping (operational vs. critical); or when you want to test your workflow end-to-end, make sure it works, or verify your automation runs correctly using read-back probes and escalation triggers rather than agent confidence. Includes explicit untrusted-content/prompt-injection guardrails for third-party inputs.

96

1.25x

Quality

90%

Does it follow best practices?

Impact

98%

1.25x

Average score across 9 eval scenarios

Overview
Skills
Evals
Files

rubric.jsonevals/scenario-1/

{
  "context": "Evaluates whether the agent produced outputs aligned with the skill's reliability-check workflow.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Contract table exists",
      "description": "Output includes a boundary contract table with 3 or more boundaries",
      "max_score": 25
    },
    {
      "name": "Invariant specificity",
      "description": "Each boundary defines concrete invariants and probes",
      "max_score": 25
    },
    {
      "name": "Failure mapping",
      "description": "Each boundary maps failures to operational/critical outcomes with escalation trigger",
      "max_score": 25
    },
    {
      "name": "Unknown state handling",
      "description": "Explicitly treats unknown/unverifiable state as at least operational risk",
      "max_score": 25
    }
  ]
}

Install with Tessl CLI

npx tessl i markusdowne/detectability-contract@0.1.2

evals

scenario-1

rubric.json

task.md

SKILL.md

tile.json