full-audit

AppSec Full Audit -- Exhaustive Security Review

Launches every framework, every scanner, every specialized tool, and every red team agent. Produces a comprehensive dated report file. This is the most thorough analysis available -- it runs everything, omits nothing, and preserves every subagent's output verbatim.

Unlike /appsec:run which selects relevant tools, full-audit runs ALL tools regardless of detected stack. Unlike /appsec:run which consolidates subagent outputs into a unified list, full-audit preserves each agent's raw output as a separate report section.

Supported Flags

Read ../../shared/schemas/flags.md for the full flag specification.

Flag	Full Audit Behavior
--scope	Propagated to all subagents. Default full (NOT changed).
--depth	Forced to expert for all subagents. Flag is accepted but overridden.
--severity	Applied only to the summary table. All findings appear in the full report regardless.
--format	Ignored. Full audit always produces a Markdown report file.
--quiet	Suppress progress messages. Report content is unchanged.
--explain	Propagated to subagents; add learning material per finding.
--fix	Propagated to subagents; each produces fix suggestions inline.
--skip-redteam	Skip red team phase. Saves time but loses attack chain analysis.
--skip-frameworks <list>	Skip specific frameworks. Accepts: owasp, stride, pasta, linddun, sans25, mitre.
--output <filename>	Custom output filename. Default: <YYYYMMDD>_appsec_report.md.

Workflow

The full audit runs in 5 phases. Phases 1-3 launch subagents. Phase 4 runs red team agents. Phase 5 assembles the report. Each phase must complete before the next begins (except where noted for parallelism within a phase).

Phase 1: Assessment & Scanners (Main Agent)

Step 1.1: Resolve Scope

Default scope is full (the entire codebase). Parse flags and resolve to a concrete file list. For --scope full, enumerate all tracked files:

git ls-files

Filter out binary files, images, and vendored dependencies.

Step 1.2: Detect Stack & Scanners

Run the same detection as /appsec:start Steps 1-4:

• Detect languages, frameworks, databases from manifests.
• Detect architecture patterns and data sensitivity.
• Detect installed scanners via which commands.

Step 1.3: Run All Detected Scanners

Run every detected scanner in parallel Bash calls within a SINGLE response. Use invocation patterns from ../../shared/schemas/scanners.md.

Before launching scanners, create the output directory:

mkdir -p reports/appsec/scanners

Redirect ALL scanner output to files -- the main agent NEVER reads scanner JSON content.

Scanner dispatch pattern:

# Run each scanner in parallel Bash calls — redirect output to files
semgrep scan --config auto --json --quiet <scope_path> > reports/appsec/scanners/semgrep.json 2>&1
gitleaks detect --source <scope_path> --report-format json --no-banner > reports/appsec/scanners/gitleaks.json 2>&1
npm audit --json > reports/appsec/scanners/npm-audit.json 2>&1           # if Node.js project
pip-audit --format json > reports/appsec/scanners/pip-audit.json 2>&1    # if Python project
trivy fs --format json <scope_path> > reports/appsec/scanners/trivy.json 2>&1   # if installed

After ALL scanners complete, check exit codes and file sizes ONLY. Do NOT read or parse scanner JSON files in the main agent context.

# Check each scanner result — exit code + file size only
ls -l reports/appsec/scanners/*.json

Build a scanner status list from exit codes and file sizes:

• Exit code 0 or 1 AND file size > 0: Mark as OK.
• Exit code > 1 AND file size > 0: Mark as PARTIAL (ran with warnings).
• File size 0 or file missing: Mark as FAILED (no output).
• Exit code 127 (command not found): Mark as MISSING.

Error handling for scanners:

• Non-zero exit code: Many scanners exit non-zero when they find issues (e.g., npm audit exits 1 when vulnerabilities exist). This is normal. Only treat it as a failure if the output file is empty (0 bytes).
• Timeout: If a scanner does not return within 120 seconds, skip it and note the timeout. Mark as FAILED (timeout).
• Scanner not found: If a scanner from the plan is not installed (exit code 127), note it in SCANNERS MISSING and continue.
• Track all scanner statuses for the report assembler:

  scanner_status = []  # list of {scanner, status, file_path, file_size}
  

Phase 2: Framework Analysis (Parallel Subagents)

Launch framework dispatchers as parallel subagents. The OWASP, STRIDE, LINDDUN, and specialized tool subagents run in parallel. PASTA runs sequentially (its stages are chained).

CRITICAL: All parallel Task tool calls MUST appear in the SAME response message. This is what triggers concurrent execution.

Before dispatching, create the output directory:

mkdir -p reports/appsec/skills

Parallel Batch 1: OWASP + STRIDE + LINDDUN + Specialized + SANS/CWE + MITRE

Launch ALL of the following as parallel Task calls in ONE response:

OWASP Top 10 (10 subagents):

Category	Skill	Description
A01	skills/access-control/SKILL.md	Broken Access Control
A02	skills/crypto/SKILL.md	Cryptographic Failures
A03	skills/injection/SKILL.md	Injection
A04	skills/insecure-design/SKILL.md	Insecure Design
A05	skills/misconfig/SKILL.md	Security Misconfiguration
A06	skills/outdated-deps/SKILL.md	Vulnerable Components
A07	skills/auth/SKILL.md	Auth Failures
A08	skills/integrity/SKILL.md	Integrity Failures
A09	skills/logging/SKILL.md	Logging Failures
A10	skills/ssrf/SKILL.md	SSRF

STRIDE (6 subagents):

Letter	Skill	Description
S	skills/spoofing/SKILL.md	Spoofing
T	skills/tampering/SKILL.md	Tampering
R	skills/repudiation/SKILL.md	Repudiation
I	skills/info-disclosure/SKILL.md	Information Disclosure
D	skills/dos/SKILL.md	Denial of Service
E	skills/privilege-escalation/SKILL.md	Elevation of Privilege

LINDDUN (7 subagents):

Category	Skill	Description
L	skills/linking/SKILL.md	Linkability
I	skills/identifying/SKILL.md	Identifiability
N1	skills/non-repudiation-privacy/SKILL.md	Non-repudiation (privacy)
D1	skills/detecting/SKILL.md	Detectability
D2	skills/data-disclosure/SKILL.md	Data Disclosure
U	skills/unawareness/SKILL.md	Unawareness
N2	skills/non-compliance/SKILL.md	Non-compliance

Specialized Tools (up to 6 subagents, as relevant):

Tool	Skill	Description
Secrets	skills/secrets/SKILL.md	Hardcoded secrets, leaked credentials
Attack Surface	skills/attack-surface/SKILL.md	Entry point inventory
Data Flows	skills/data-flows/SKILL.md	Data flow mapping

SANS/CWE Top 25 (1 subagent):

Tool	Skill	Description
SANS25	skills/sans25/SKILL.md	CWE Top 25 analysis

Launch ALL of these as parallel Task calls in a SINGLE response.

Subagent Prompt Template

Each subagent Task call must include a FULLY self-contained prompt. Subagents get their own isolated context window and cannot see the main conversation. Subagents write their findings to a file and return ONLY a one-line status summary.

Use --depth expert and --scope full hardcoded into every prompt.

Analyze the following files for {TOOL_DESCRIPTION} vulnerabilities:

FILES:
{FILE_LIST}

STEP 1: Read the skill definition at:
{ABSOLUTE_PATH_TO_PLUGIN}/skills/{SKILL_NAME}/SKILL.md

STEP 2: Follow the workflow defined in that skill to analyze the listed files.

STEP 3: Read the findings schema at:
{ABSOLUTE_PATH_TO_PLUGIN}/shared/schemas/findings.md

STEP 4: Produce findings in the schema format. Set metadata.tool to "{TOOL_NAME}"
and metadata.framework to "{FRAMEWORK}".

STEP 5: Write findings using the AGGREGATE OUTPUT format from the findings schema to:
{ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/skills/{TOOL_NAME}.json

Use the Write tool. The file must be a JSON object with fields:
  tool, total_findings, by_severity (object with critical/high/medium/low counts),
  notes (string with narrative assessment, evidence, or context your skill produces),
  findings (array)

NOTE: The "notes" field is a full-audit extension to the standard aggregate
output format. It is REQUIRED for full-audit (the report assembler uses it
for verbatim report sections) but optional in other contexts like /appsec:run.

Include any narrative assessment, evidence, or context your skill produces.
The report assembler will include this verbatim in the report section for
your framework/tool.

If zero findings, write: {"tool":"{TOOL_NAME}","total_findings":0,"by_severity":{"critical":0,"high":0,"medium":0,"low":0},"notes":"<your narrative assessment>","findings":[]}

FLAGS: --scope full --depth expert

IMPORTANT: After writing the file, return ONLY a one-line status in this exact format:
"{TOOL_NAME}: N findings (Xc Xh Xm Xl)"
where N is the total count and Xc/Xh/Xm/Xl are counts per severity.
Example: "injection: 3 findings (0c 1h 2m 0l)"
Do NOT return the findings themselves. Do NOT produce a summary or
cross-tool analysis. The orchestrator handles report assembly.

Sequential: PASTA (7 stages)

After the parallel batch completes (or concurrently if the runtime supports it), run the PASTA pipeline. PASTA stages are STRICTLY sequential -- each stage's output feeds the next stage via file.

Stage	Skill	Output File
1	skills/pasta-objectives/SKILL.md	reports/appsec/skills/pasta-stage-1.json
2	skills/pasta-scope/SKILL.md	reports/appsec/skills/pasta-stage-2.json
3	skills/pasta-decompose/SKILL.md	reports/appsec/skills/pasta-stage-3.json
4	skills/pasta-threats/SKILL.md	reports/appsec/skills/pasta-stage-4.json
5	skills/pasta-vulns/SKILL.md	reports/appsec/skills/pasta-stage-5.json
6	skills/pasta-attack-sim/SKILL.md	reports/appsec/skills/pasta-stage-6.json
7	skills/pasta-risk/SKILL.md	reports/appsec/skills/pasta-stage-7.json

Launch Stage 1 as a Task call, wait for it to complete, then launch Stage 2, and so on through Stage 7. Each stage reads the PREVIOUS stage's file instead of receiving inline output.

PASTA stage prompt template:

Analyze the following project for {STAGE_DESCRIPTION}:

FILES:
{FILE_LIST}

STEP 1: Read the skill definition at:
{ABSOLUTE_PATH_TO_PLUGIN}/skills/{PASTA_SKILL_NAME}/SKILL.md

STEP 2: Read the findings schema at:
{ABSOLUTE_PATH_TO_PLUGIN}/shared/schemas/findings.md

STEP 3: Read the previous stage output at:
{ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/skills/pasta-stage-{N-1}.json
(Skip this step for Stage 1 -- there is no prior stage.)

If the previous stage file does not exist or cannot be parsed, return ONLY:
  "pasta-stage-{N}: FAILED - prior stage file missing or malformed. PASTA chain broken at stage {N}."
Do NOT proceed with analysis.

STEP 4: Follow the workflow defined in the skill. Use both the "notes" narrative
and "findings" array from the previous stage as input context for your analysis.

STEP 5: Write your output using the AGGREGATE OUTPUT format to:
{ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/skills/pasta-stage-{N}.json

Use the Write tool. The file must be a JSON object with fields:
  tool, total_findings, by_severity (object with critical/high/medium/low counts),
  notes (string with your FULL stage narrative -- business objectives, scope analysis,
  decomposition, threat list, etc. as appropriate for this stage),
  findings (array)

The "notes" field is REQUIRED. Include the complete stage output narrative.

FLAGS: --scope full --depth expert

IMPORTANT: After writing the file, return ONLY a one-line status in this exact format:
"pasta-stage-{N}: N findings (Xc Xh Xm Xl)"
Do NOT return the stage output itself.

Phase 3: Wait for All Framework Results

CRITICAL -- Do NOT proceed to Phase 4 until every subagent from Phase 2 has returned. Do NOT:

• Redo failed subagent work yourself.
• Skip frameworks that are still running.
• Start assembling the report before all results are in.

If a subagent fails, note the failure. Include it in the report as a gap. Do NOT retry or redo it yourself.

Timeout Handling

• Individual subagent timeout: 5 minutes. If a subagent has not returned after 5 minutes, mark it as TIMED OUT and proceed without its results.
• PASTA pipeline timeout: 15 minutes total for all 7 stages.
• Total audit timeout: 30 minutes for all phases combined.
• Progress reporting: After each subagent returns, output a brief progress line: [audit] Completed: <skill-name> (<N> findings). Waiting for <M> more subagents.
• Timed-out subagents: List in the report under a TIMED OUT section, distinct from TOOLS FAILED.

Phase 4: Red Team Simulation (6 Agents in Parallel)

Unless --skip-redteam is set, launch ALL 6 red team attacker agents in parallel.

CRITICAL: All 6 Task tool calls MUST appear in the SAME response.

Before dispatching, create the output directory:

mkdir -p reports/appsec/redteam

Agent	Persona File	Focus
Script Kiddie	agents/script-kiddie.md	Automated tools, known CVEs
Insider	agents/insider.md	Privilege escalation, exfiltration
Organized Crime	agents/organized-crime.md	Financial fraud, account takeover
Hacktivist	agents/hacktivist.md	Data leaks, defacement
Nation State	agents/nation-state.md	APT chains, persistent access
Supply Chain	agents/supply-chain.md	Dependency poisoning, build pipeline

Each red team agent reads prior findings from files (not inline), writes findings to a file, and returns only a one-line status.

You are a red team agent. Read your persona definition at:
{ABSOLUTE_PATH_TO_PLUGIN}/agents/{PERSONA_NAME}.md

Analyze the following codebase for exploitable vulnerabilities from your
persona's perspective:

FILES:
{FILE_LIST}

STEP 1: Read prior findings from these directories using the Read tool:
- {ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/scanners/*.json
- {ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/skills/*.json
These contain the automated analysis results. Use Glob to list the files, then
read each one.

STEP 2: Read the findings schema at:
{ABSOLUTE_PATH_TO_PLUGIN}/shared/schemas/findings.md

STEP 3: Read the DREAD scoring framework at:
{ABSOLUTE_PATH_TO_PLUGIN}/shared/frameworks/dread.md

STEP 4: Attempt to chain vulnerabilities into multi-step attack scenarios.
Score each finding using DREAD.

STEP 5: Write findings using the AGGREGATE OUTPUT format from the findings schema to:
{ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/redteam/{PERSONA_NAME}.json

Use the Write tool. The file must be a JSON object with fields:
  tool, total_findings, by_severity (object with critical/high/medium/low counts),
  notes (string with your FULL attack narratives, chain descriptions, and DREAD
  scoring rationale -- the report assembler will include this verbatim),
  findings (array)

If zero findings, write: {"tool":"{PERSONA_NAME}","total_findings":0,"by_severity":{"critical":0,"high":0,"medium":0,"low":0},"notes":"<your assessment narrative>","findings":[]}

Use "RT" prefix for finding IDs.

IMPORTANT: After writing the file, return ONLY a one-line status in this exact format:
"{PERSONA_NAME}: N findings (Xc Xh Xm Xl)"
where N is the total count and Xc/Xh/Xm/Xl are counts per severity (critical, high, medium, low).
Example: "insider: 4 findings (1c 2h 1m 0l)"
Do NOT return the findings themselves.

Phase 5: Report Assembly (Report Assembler Subagent)

After ALL subagents (framework skills and optionally red team agents) return, the main agent builds a status summary and launches ONE report assembler subagent. The main agent does NOT read any findings files or assemble the report itself.

Build Status Summary

From each subagent's one-line status return, build two lists:

tools_ok = []      # e.g. ["injection: 3 findings (0c 1h 2m 0l)", ...]
tools_failed = []  # e.g. ["crypto: empty output", "ssrf: error ..."]

A subagent result goes into tools_failed if:

• The Task tool returned an error or exception message
• The subagent returned an empty string
• The subagent's output does not match the pattern "{TOOL_NAME}: N findings (...)"

Record the tool name and the first 100 characters of the response as the error reason.

Do NOT re-read any findings files in the main agent context.

Also include scanner statuses from Phase 1.3.

Build SCANNERS_STATUS as a formatted list:

scanners_ok = ["semgrep: OK (reports/appsec/scanners/semgrep.json)", ...]
scanners_failed = ["gitleaks: FAILED (timeout)", ...]
scanners_missing = ["trivy", "bandit", ...]

Pass the scanner file paths so the report assembler can read each scanner JSON file and count findings for the Scanners Used table.

Launch Report Assembler Subagent

Launch a single report assembler subagent with the following FULLY self-contained prompt. This subagent reads all result files, assembles the full dated markdown report with VERBATIM sections, and writes all output files.

You are the appsec full-audit report assembler. Your job is to read all
security findings from scanners, category skills, and red team agents, and
assemble a comprehensive dated Markdown report.

STEP 1: Read the findings schema at:
{ABSOLUTE_PATH_TO_PLUGIN}/shared/schemas/findings.md

STEP 2: Read all JSON result files from these directories using Glob + Read:
- {ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/scanners/*.json
- {ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/skills/*.json
- {ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/redteam/*.json  (if directory exists)

For scanner files: each scanner produces its own JSON format. Read the scanner
registry and format reference at:
{ABSOLUTE_PATH_TO_PLUGIN}/shared/schemas/scanners.md

Convert scanner findings to the standard schema format. Set scanner.confirmed
to true and scanner.name to the scanner name (derived from the filename,
e.g. "semgrep.json" -> "semgrep").

For skill and red team files: these already use the AGGREGATE OUTPUT format
with fields: tool, total_findings, by_severity, notes, findings.

If any file contains malformed JSON that cannot be parsed, log the filename
in a TOOLS DEGRADED list and skip it. Continue processing other files.

STEP 3: For each skill file, extract the "notes" field and all findings.
The notes contain the narrative assessment that must appear VERBATIM in the
corresponding report section. The findings array contains structured findings
in schema format.

STEP 4: Build the full dated Markdown report. Use this structure:

# AppSec Full Audit Report
**Date:** YYYY-MM-DD
**Scope:** {SCOPE_DESCRIPTION}
**Project:** {PROJECT_NAME}
**Stack:** {DETECTED_STACK}

## Executive Summary

### Severity Overview
| Severity | Count |
|----------|-------|
| Critical | N |
| High     | N |
| Medium   | N |
| Low      | N |
| **Total** | **N** |

### Top 5 Priorities
1. <highest severity finding with location and one-line description>
2. ...

### Scanners Used
| Scanner | Status | Findings |
|---------|--------|----------|
| <scanner> | Ran / Not installed | N |

---

## Scanner Results
<Scanner findings converted to standard format>

---

## OWASP Top 10

### A01: Broken Access Control
<VERBATIM notes from access-control.json + formatted findings>

### A02: Cryptographic Failures
<VERBATIM notes from crypto.json + formatted findings>

... (A03 through A10, using skill files: injection, insecure-design,
misconfig, outdated-deps, auth, integrity, logging, ssrf)

---

## STRIDE Threat Model

### S - Spoofing
<VERBATIM notes from spoofing.json + formatted findings>

### T - Tampering
<VERBATIM notes from tampering.json + formatted findings>

... (R from repudiation, I from info-disclosure, D from dos,
E from privilege-escalation)

---

## PASTA Risk Analysis

### Stage 1: Business Objectives
<VERBATIM notes from pasta-stage-1.json + formatted findings>

### Stage 2: Technical Scope
<VERBATIM notes from pasta-stage-2.json + formatted findings>

... (Stages 3 through 7)

---

## LINDDUN Privacy Threats

### L - Linkability
<VERBATIM notes from linking.json + formatted findings>

### I - Identifiability
<VERBATIM notes from identifying.json + formatted findings>

... (N1 from non-repudiation-privacy, D1 from detecting,
D2 from data-disclosure, U from unawareness, N2 from non-compliance)

---

## SANS/CWE Top 25
<VERBATIM notes from sans25.json + formatted findings>

---

## Specialized Analysis

### Secrets Detection
<VERBATIM notes from secrets.json + formatted findings>

### Attack Surface
<VERBATIM notes from attack-surface.json + formatted findings>

### Data Flows
<VERBATIM notes from data-flows.json + formatted findings>

---

## Red Team Simulation

### Script Kiddie
<VERBATIM notes from script-kiddie.json + formatted findings>

### Insider Threat
<VERBATIM notes from insider.json + formatted findings>

### Organized Crime
<VERBATIM notes from organized-crime.json + formatted findings>

### Hacktivist
<VERBATIM notes from hacktivist.json + formatted findings>

### Nation State APT
<VERBATIM notes from nation-state.json + formatted findings>

### Supply Chain
<VERBATIM notes from supply-chain.json + formatted findings>

---

## Cross-Framework Analysis

NOTE: Do NOT deduplicate findings across frameworks. Each framework section
preserves its own findings verbatim. Document overlaps in the Cross-Framework
Analysis section instead. This is by design -- the full audit shows what EACH
framework independently found, not a merged view.

For the Cross-Framework Analysis appendix, use each finding's metadata.framework
field to identify which frameworks detected each finding. A finding may appear
in multiple framework sections if discovered independently by different tools.

### Finding Overlap
<Table showing findings that appear in multiple frameworks>

### Coverage Gaps
<Frameworks that found issues others missed>

### Attack Chain Summary
<Red team chains that combine findings across frameworks>

---

## Appendix

### Framework Coverage Matrix
| Finding ID | OWASP | STRIDE | PASTA | LINDDUN | CWE | MITRE |
|-----------|-------|--------|-------|---------|-----|-------|
| ... | ... | ... | ... | ... | ... | ... |

### Tool Failures
<Any subagents that failed, with error details>

### Tools Degraded
<Any files with malformed JSON that were skipped>

### Methodology
This report was generated by the AppSec plugin full audit.
Frameworks: OWASP Top 10 (2021), STRIDE, PASTA, LINDDUN, SANS/CWE Top 25.
Red team personas: Script Kiddie, Insider, Organized Crime, Hacktivist,
Nation State, Supply Chain.

For any tool/framework that has no corresponding file (it was skipped via
--skip-frameworks, or the subagent failed), include the section heading
with a note: "This analysis was not performed. Reason: <reason>."

STEP 5: Write the report to:
{ABSOLUTE_PATH_TO_PROJECT}/reports/appsec/{YYYYMMDD}_appsec_report.md

Use the Write tool. If --output was specified, use that filename instead
(still in the reports/appsec/ directory).

STEP 6: Write consolidated state files.

First ensure the output directory exists:
  mkdir -p {ABSOLUTE_PATH_TO_PROJECT}/.appsec

Write:
- {ABSOLUTE_PATH_TO_PROJECT}/.appsec/findings.json -- all findings merged
  into a single aggregate format JSON (for downstream skills like
  /appsec:status, /appsec:fix)
- {ABSOLUTE_PATH_TO_PROJECT}/.appsec/last-run.json -- run metadata:
  {{"timestamp": "<ISO 8601>", "scope": "{SCOPE}", "depth": "expert",
    "mode": "full-audit",
    "tools_run": [...], "tools_failed": [...], "scanners_used": [...],
    "scanners_missing": [...], "total_findings": N,
    "by_severity": {{"critical": N, "high": N, "medium": N, "low": N}},
    "report_file": "reports/appsec/{YYYYMMDD}_appsec_report.md"}}

TOOL STATUS (from orchestrator):
Tools OK: {TOOLS_OK_LIST}
Tools failed: {TOOLS_FAILED_LIST}
Scanners OK: {SCANNERS_OK_LIST}
Scanners failed: {SCANNERS_FAILED_LIST}
Scanners missing: {SCANNERS_MISSING_LIST}

CONTEXT:
Scope: {SCOPE}
Project: {PROJECT_NAME}
Stack: {DETECTED_STACK}
Date: {YYYYMMDD}
Output filename: {OUTPUT_FILENAME}
Frameworks skipped: {SKIP_FRAMEWORKS_LIST}

IMPORTANT: After writing all files, return a short completion summary:
"Report written to reports/appsec/{YYYYMMDD}_appsec_report.md — N total findings
(Xc critical, Xh high, Xm medium, Xl low). State saved to .appsec/."
Do NOT return the report content itself.

Caching and State

After each run, state is written to .appsec/:

File	Written By	Content
.appsec/findings.json	Phase 5 (report assembler subagent)	Consolidated findings from this audit
.appsec/last-run.json	Phase 5 (report assembler subagent)	Timestamp, scope, depth, tools used, finding count, report file path

Intermediate results persist in reports/appsec/ (subdirectories: scanners/, skills/, redteam/) until the next run overwrites them. The dated report lives at reports/appsec/<YYYYMMDD>_appsec_report.md.

This state powers /appsec:status and enables delta detection on subsequent runs.

Completion Message

Present the report assembler subagent's returned completion summary to the user, then show follow-up options:

Full audit complete.

Report: reports/appsec/<YYYYMMDD>_appsec_report.md
Findings: <total> (<critical> critical, <high> high, <medium> medium, <low> low)
Frameworks: OWASP, STRIDE, PASTA, LINDDUN, SANS/CWE Top 25
Red Team: <N> attack chains identified

  /appsec:explain <ID>    Explain any finding
  /appsec:status           View security dashboard