microsoft / microsoft/PromptKit
❄️ Cold Auditor Phase — Add Support for Context‑Isolated Sub‑Agent Audits
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- JavaScript
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Description
❄️ Cold Auditor Phase — Add Support for Context‑Isolated Sub‑Agent Audits
Summary
Introduce a Cold Auditor Phase to PromptKit: a workflow primitive that spawns a context‑isolated sub‑agent to perform adversarial audits of earlier artifacts.
This sub‑agent receives only the artifacts and instructions explicitly passed to it, ensuring a cold read with zero inherited assumptions, memory, or narrative bias.
This pattern emerged organically during real‑world use and proved extremely effective at tightening specs, exposing drift, and stabilizing multi‑phase workflows.
Motivation
In multi‑phase workflows, later phases often inherit the model’s earlier assumptions.
This creates several problems:
- Early‑phase fuzziness gets “grandfathered in”
- The model avoids contradicting itself
- Drift accumulates across phases
- Audits become polite instead of adversarial
- The system loses its ability to self‑correct
A context‑reset audit eliminates these issues.
When a sub‑agent evaluates artifacts with no prior context, it behaves like a fresh engineer joining the project:
- no sunk‑cost bias
- no narrative loyalty
- no continuity assumptions
- no memory of earlier reasoning
This produces dramatically stronger audits and more stable specs.
Proposal
Add a workflow primitive that allows a phase to declare:
“Run this audit using a context‑isolated sub‑agent.
Provide only the specified artifacts and instructions.
Do not inherit any prior conversation or reasoning.”
Key properties
- Isolation: sub‑agent receives no parent context
- Explicit inputs only: artifacts + instructions
- Adversarial stance: evaluate as if encountering the spec for the first time
- Deterministic: no hidden state, no bleed‑through
- Model‑agnostic: works with any model combination
Benefits
-
True adversarial auditing
The sub‑agent is free to tear apart earlier phases without self‑consistency bias. -
Drift resistance
Specs converge toward correctness instead of drifting with model personality. -
Robustness to context loss
If a model loses its window, the workflow still behaves correctly. -
Multi‑model synergy
Cheap/creative models can propose; precise models can audit. -
Stronger invariants
Cold reads force vague requirements to become crisp, explicit, and enforceable.
Example Workflow Addition (conceptual)
- phase: protocol_audit
mode: cold_subagent
inputs:
- requirements
- spec
instructions: |
Evaluate these artifacts as if you have never seen them before.
Identify inconsistencies, missing invariants, and drift.
Produce a corrected, tightened version of the spec.
Acceptance Criteria
- Ability to spawn a sub‑agent with no inherited context
- Ability to pass explicit artifacts and instructions
- Deterministic isolation: no cross‑phase memory leakage
- Clear documentation of the “Cold Auditor Phase” pattern
- Example workflow demonstrating usage
Why This Belongs in PromptKit
PromptKit already enforces structure, determinism, and artifact‑bounded reasoning.
A Cold Auditor Phase extends this by adding a powerful correctness mechanism:
self‑disagreement as a feature, not a bug.
This turns PromptKit workflows into systems that:
- generate
- critique
- refine
- converge
…without relying on any single model’s continuity or assumptions.
Notes
This pattern emerged organically during real use when a context window reset caused an audit phase to evaluate the spec with zero preconceptions.
The result was dramatically better than a continuity‑preserving audit.
Formalizing this behavior would make it a first‑class tool for all PromptKit workflows.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The proposal names no implementation files, tests, or entry points. Start by locating PromptKit’s existing workflow and phase implementation, then trace how sub-agents and explicit inputs are handled; done means a context-isolated audit primitive, an example workflow, and documentation covering the listed acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- ai, tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100