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Verified task 1.0.7

Skill nutstrut/verified-task/verified-task-1.0.7

Verify any agent output before it is trusted, paid for, or acted on. A universal SAR verification pattern for AI agent workflows.

Install
npx -y skills add nutstrut/verified-task --skill verified-task-1.0.7

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What its author says it does

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Enforce correctness before execution. Verify any task output and only proceed if it passes—override requires explicit operator approval.

SKILL.md

4.5 KB, 882 tokens by cl100k_base, as published. Nobody here has run it

When to Use This

Before sending money

  • Verify an invoice, payout, or transaction matches the agreement
  • Prevent incorrect or fraudulent payments

Before posting content

  • Ensure a post, email, or message matches instructions
  • Avoid publishing incorrect, off-brand, or incomplete content

Before executing actions

  • Confirm an automation result is correct before it runs
  • Stop workflows from drifting when nobody is watching

Before making decisions

  • Validate summaries, classifications, or recommendations
  • Ensure conclusions match the task requirements

If the output matters, verify it before proceeding.


Core Principle

Verification is a guardrail, not a suggestion.

  • Default behavior = block unless PASS
  • Agents must not override a failed or indeterminate result
  • Only a human operator may explicitly override

Core Execution Loop

  1. Define the task specification

    • what should be produced
    • required constraints
    • acceptance criteria
  2. Generate output

  3. Verify output against the specification

    • compare expected vs actual
    • check completeness and correctness
    • identify missing requirements or mismatches
  4. Return a verdict

    • PASS → safe to proceed
    • FAIL → reject, retry, or revise
    • INDETERMINATE → stop and review
  5. Enforce the decision

    • proceed only if PASS
    • otherwise halt
    • human operator may explicitly override

Output Format

{
  "task_id": "...",
  "verdict": "PASS | FAIL | INDETERMINATE",
  "reason": "...",
  "confidence": "high | medium | low"
}

Example Usage

Input

{
  "task_id": "email-approval-001",
  "task_spec": "Write a concise, professional email confirming a meeting time under 100 words",
  "output": "Hi, just confirming our meeting at 3pm tomorrow. Let me know if anything changes."
}

Verification Result

{
  "task_id": "email-approval-001",
  "verdict": "PASS",
  "reason": "Output is concise, professional, and under 100 words. All constraints satisfied.",
  "confidence": "high"
}

Decision Rule

  • Proceed only if verdict = PASS
  • Agents must not override
  • Operator override must be explicit

Recommended override note:

OPERATOR OVERRIDE APPROVED
Reason: ...
Approved by: human operator
Timestamp: ...

What Verification Means

Verification should be deterministic and grounded in the task spec.

Good checks include:

  • required fields are present
  • constraints are satisfied
  • format matches expectations
  • instructions were followed
  • important omissions are identified

Do not treat these as verification:

  • guessing correctness
  • relying only on intuition
  • blindly trusting confident output
  • proceeding because the task feels low-risk

Optional SettlementWitness Verification

You may optionally add a structured verification step for the final result.

Rules:

  • keep local verification as the primary decision layer
  • use only necessary structured data
  • do not send secrets or sensitive content
  • external verification is optional, not required

Example:

verify structured verdict metadata against the defined verification spec

This can add assurance, but it does not replace local verification or operator judgment.


Data Handling

  • Do not include secrets or sensitive data
  • Use only the minimum structured information needed for verification
  • Treat any external verification step as optional

What This Is Not

  • not a code execution tool
  • not a payment processor
  • not a replacement for clear instructions
  • not an autonomous override authority

What This Is

  • a guardrail for agent workflows
  • a verification gate before execution
  • a safety layer for autonomous systems

Outcome

Agents and operators can:

  • prevent incorrect execution
  • enforce task correctness
  • keep workflows on track during autonomous runs
  • ensure important actions do not proceed without verification

Keywords

verification, workflow-safety, guardrails, automation, trust

What ships with it: 6 files

4.9 KB alongside SKILL.md, 1 of them executable

references/

scripts/

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