audit-integrity | SkillBundle

Audit Integrity Skill

Enforces output quality, intellectual honesty, and continuous improvement across all AppSec agents.

When to Use

Every security analysis, code review, threat model, or quality scan agent run
Applied automatically as a post-analysis quality gate
Applicable to any agent performing SAST, SCA, threat modeling, or code quality analysis

Components

This skill provides 7 reusable capabilities. Agents apply all 7 unless their scope excludes a specific component.

Component	Reference File	Purpose
Clarification Protocol	clarification-protocol.md	Ask ≤2 targeted questions before analysis when scope is ambiguous
Anti-Rationalization Guard	anti-rationalization-guard.md	Table of prohibited rationalizations with mandatory responses
Self-Critique Loop	self-critique-loop.md	Mandatory second-pass review after initial analysis
Retry Protocol	retry-protocol.md	Tool failure handling — retry once, then document
Non-Negotiable Behaviors	non-negotiable-behaviors.md	Hard rules: never fabricate, always cite evidence, report gaps
Self-Reflection Quality Gate	self-reflection-quality-gate.md	1–10 scoring rubric with ≥8 threshold per category
Self-Learning System	self-learning-system.md	Lesson/Memory templates and governance rules

Execution Flow

Before analysis: Apply Clarification Protocol if scope is ambiguous
During analysis: Apply Anti-Rationalization Guard at every decision point
After initial pass: Execute Self-Critique Loop (mandatory second pass)
On tool failure: Apply Retry Protocol
Before delivery: Run Self-Reflection Quality Gate (all categories must score ≥8)
After delivery: Create Lessons/Memories for novel findings, false positives, or methodology gaps (see Self-Learning System)

Agent-Specific Adaptation

Each agent customizes the Self-Critique Loop checklist and Self-Reflection Quality Gate categories to match its domain. The reference files provide the base templates; agents extend them with domain-specific items.

Example extensions per agent type

SAST/SCA agents: Add taint trace completeness and manifest coverage checks
SonarQube-style agents: Add rating sanity check (A–E consistency with findings)
Threat modeling agents: Add STRIDE category completeness per trust boundary
Code review agents: Add trust boundary audit with data flow tracing

Audit Integrity Skill

Enforces output quality, intellectual honesty, and continuous improvement across all AppSec agents.

When to Use

Every security analysis, code review, threat model, or quality scan agent run
Applied automatically as a post-analysis quality gate
Applicable to any agent performing SAST, SCA, threat modeling, or code quality analysis

Components

This skill provides 7 reusable capabilities. Agents apply all 7 unless their scope excludes a specific component.

Component	Reference File	Purpose
Clarification Protocol	clarification-protocol.md	Ask ≤2 targeted questions before analysis when scope is ambiguous
Anti-Rationalization Guard	anti-rationalization-guard.md	Table of prohibited rationalizations with mandatory responses
Self-Critique Loop	self-critique-loop.md	Mandatory second-pass review after initial analysis
Retry Protocol	retry-protocol.md	Tool failure handling — retry once, then document
Non-Negotiable Behaviors	non-negotiable-behaviors.md	Hard rules: never fabricate, always cite evidence, report gaps
Self-Reflection Quality Gate	self-reflection-quality-gate.md	1–10 scoring rubric with ≥8 threshold per category
Self-Learning System	self-learning-system.md	Lesson/Memory templates and governance rules

Execution Flow

Before analysis: Apply Clarification Protocol if scope is ambiguous
During analysis: Apply Anti-Rationalization Guard at every decision point
After initial pass: Execute Self-Critique Loop (mandatory second pass)
On tool failure: Apply Retry Protocol
Before delivery: Run Self-Reflection Quality Gate (all categories must score ≥8)
After delivery: Create Lessons/Memories for novel findings, false positives, or methodology gaps (see Self-Learning System)

Agent-Specific Adaptation

Example extensions per agent type

SAST/SCA agents: Add taint trace completeness and manifest coverage checks
SonarQube-style agents: Add rating sanity check (A–E consistency with findings)
Threat modeling agents: Add STRIDE category completeness per trust boundary
Code review agents: Add trust boundary audit with data flow tracing