Secrets Sanitization (Gate G0)

TL;DR: Scans project artifacts for exposed credentials, API keys, passwords, tokens, and sensitive data. Implements Gate G0: no pipeline execution proceeds with unmasked secrets. Detects patterns across configuration files, documents, and code artifacts, then masks or flags findings for remediation.

Principio Rector

Un solo secreto expuesto puede comprometer todo el proyecto. Gate G0 es un hard stop: si se detectan credenciales sin enmascarar en cualquier artefacto del proyecto, el pipeline se detiene hasta que se remedien. La seguridad no es una fase — es una precondición.

Assumptions & Limits

• Assumes project workspace path is provided and accessible [PLAN]
• Assumes pattern library covers common secret formats (AWS, Azure, GCP, JWT, etc.) [PLAN]
• Breaks when secrets are encoded or obfuscated — pattern matching cannot detect encrypted secrets
• Does not manage secrets (rotation, vaulting); only detects exposure. Use dedicated vault solutions for management
• Assumes false positive rate is managed through context analysis [SUPUESTO]
• Limited to text-based artifacts; binary files require separate scanning tools

Usage

# Full secrets scan of project workspace
/pm:secrets-sanitization $ARGUMENTS="--path /project/workspace"

# Scan specific file types only
/pm:secrets-sanitization --type targeted --glob "**/*.{md,yaml,json,env}"

# Remediation verification after masking
/pm:secrets-sanitization --type verify --baseline scan-report-v1.md

Parameters:

Parameter	Required	Description
$ARGUMENTS	Yes	Path to project workspace
--type	No	full (default), targeted, verify
--glob	No	File pattern to scan
--baseline	No	Previous scan report for verification
--severity	No	Minimum severity to report: critical, high, medium

Service Type Routing

{TIPO_PROYECTO} variants:

• Agile: G0 scan integrated into sprint CI pipeline; secrets detected pre-commit and in PR reviews
• Waterfall: G0 scan at each phase gate; formal remediation sign-off before proceeding to next phase
• SAFe: G0 enforced at ART level; system demo artifacts scanned; cross-team credential sharing patterns audited
• Kanban: G0 as entry policy on the board; no work item moves to "In Progress" with unmasked secrets
• PMO: G0 governance policy across all portfolio projects; centralized secrets management audit schedule
• Hybrid: G0 applied uniformly regardless of methodology component; both iterative and phase-gate artifacts scanned

Before Scanning

1. Glob **/*.{env,yaml,yml,json,conf,cfg,properties} to identify configuration files [PLAN]
2. Glob **/*.{md,txt,doc} to identify documentation files that may contain credentials [PLAN]
3. Read the pattern library to understand detection rules [PLAN]
4. Grep for common secret prefixes (AKIA, sk-, ghp_, Bearer) as initial indicators [PLAN]

Entrada (Input Requirements)

• Project workspace path
• Configuration files and environment settings
• Documentation and deliverables
• Integration specifications

Proceso (Protocol)

1. Pattern library — Load secret detection patterns (API keys, passwords, tokens, certificates)
2. File scan — Scan all project files matching target patterns
3. Context analysis — Distinguish between actual secrets and false positives
4. Severity classification — Rate findings: Critical (active credentials), High (test credentials), Medium (patterns)
5. Masking — Apply masking to detected secrets in documents
6. Remediation guidance — Provide specific remediation steps per finding type
7. Gate decision — Determine G0 pass/fail based on findings
8. Report generation — Compile security scan report (without exposing secrets in report)

Edge Cases

1. Active production credentials found — CRITICAL. Immediate notification to security team. Recommend credential rotation within 24 hours. Do not include the actual credential in the report [PLAN].
2. High false positive rate — Refine pattern matching with context rules. Add project-specific allowlist for known safe patterns (e.g., example API keys in documentation) [INFERENCIA].
3. Secrets in git history — Current scan only detects in working tree. Recommend git log scan or BFG Repo-Cleaner for historical secrets [SUPUESTO].
4. Encrypted or base64-encoded secrets — Flag base64-encoded strings that match key length patterns. Document limitation for truly encrypted content [INFERENCIA].

Example: Good vs Bad

Good example — Thorough G0 scan:

Attribute	Value
Files scanned	342 files across 12 file types
Findings	3 findings: 1 Critical, 1 High, 1 Medium
False positive rate	2 false positives identified and filtered
Remediation	Specific steps per finding with owner assigned
Gate decision	FAIL — Critical finding requires remediation before proceed
Report	Findings described without exposing actual secrets

Bad example — Superficial scan: Scan of only .env files, ignoring documentation, YAML, and JSON. No severity classification, no context analysis. A narrow scan gives false confidence — secrets hide in unexpected places (README examples, CI configs, integration docs).

Salida (Deliverables)

• G0 security scan report (pass/fail)
• Findings register with severity and location (masked)
• Remediation action items
• Updated artifacts with masked secrets

Validation Gate

• All file types in workspace scanned (not just .env files) [PLAN]
• Every finding classified by severity (Critical/High/Medium) [METRIC]
• Zero Critical findings for G0 PASS (hard requirement) [METRIC]
• Report does not expose actual secret values [PLAN]
• Remediation steps specific per finding type [PLAN]
• False positives documented and filtered [INFERENCIA]
• Gate decision clearly stated (PASS/FAIL) [PLAN]
• Findings include file path and line number (masked) [METRIC]
• Evidence ratio: ≥90% [PLAN]/[METRIC], <10% [SUPUESTO]
• Scan execution logged for audit trail [PLAN]

Escalation Triggers

• Active production credentials found in artifacts
• G0 failure blocking pipeline execution
• Secret exposure in shared/public documents
• Recurring secret exposure after remediation

Additional Resources

Resource	When to Read	Location
Body of Knowledge	Secret detection patterns and tools	references/body-of-knowledge.md
State of the Art	Modern secrets management practices	references/state-of-the-art.md
Knowledge Graph	G0 gate in pipeline security	references/knowledge-graph.mmd
Use Case Prompts	Secret scanning scenarios	prompts/use-case-prompts.md
Metaprompts	Custom detection pattern design	prompts/metaprompts.md
Sample Output	Reference G0 scan report	examples/sample-output.md

Output Configuration

• Language: Spanish (Latin American, business register)
• Evidence: [PLAN], [SCHEDULE], [METRIC], [INFERENCIA], [SUPUESTO], [STAKEHOLDER]
• Branding: #2563EB royal blue, #F59E0B amber (NEVER green), #0F172A dark

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Sub-Agents

Compliance Reporter

Compliance Reporter Agent

Core Responsibility

Reports on secrets compliance status for security gates. This agent operates autonomously, applying systematic analysis and producing structured outputs.

Process

1. Gather Inputs. Collect all relevant data, documents, and stakeholder inputs needed for analysis.
2. Analyze Context. Assess the project context, methodology, phase, and constraints.
3. Apply Framework. Apply the appropriate analytical framework or model.
4. Generate Findings. Produce detailed findings with evidence tags and quantified impacts.
5. Validate Results. Cross-check findings against related artifacts for consistency.
6. Formulate Recommendations. Transform findings into actionable recommendations with owners and timelines.
7. Deliver Output. Produce the final structured output with executive summary, analysis, and action items.

Output Format

• Analysis Report — Structured findings with evidence tags and severity ratings.
• Recommendation Register — Actionable items with owners, deadlines, and success criteria.
• Executive Summary — 3-5 bullet point summary for stakeholder communication.

Credential Scanner

Credential Scanner Agent

Core Responsibility

Scans project files for exposed credentials and secrets. This agent operates autonomously, applying systematic analysis and producing structured outputs.

Process

1. Gather Inputs. Collect all relevant data, documents, and stakeholder inputs needed for analysis.
2. Analyze Context. Assess the project context, methodology, phase, and constraints.
3. Apply Framework. Apply the appropriate analytical framework or model.
4. Generate Findings. Produce detailed findings with evidence tags and quantified impacts.
5. Validate Results. Cross-check findings against related artifacts for consistency.
6. Formulate Recommendations. Transform findings into actionable recommendations with owners and timelines.
7. Deliver Output. Produce the final structured output with executive summary, analysis, and action items.

Output Format

• Analysis Report — Structured findings with evidence tags and severity ratings.
• Recommendation Register — Actionable items with owners, deadlines, and success criteria.
• Executive Summary — 3-5 bullet point summary for stakeholder communication.

Masking Engine

Masking Engine Agent

Core Responsibility

Masks detected secrets with reversible or irreversible redaction. This agent operates autonomously, applying systematic analysis and producing structured outputs.

Process

1. Gather Inputs. Collect all relevant data, documents, and stakeholder inputs needed for analysis.
2. Analyze Context. Assess the project context, methodology, phase, and constraints.
3. Apply Framework. Apply the appropriate analytical framework or model.
4. Generate Findings. Produce detailed findings with evidence tags and quantified impacts.
5. Validate Results. Cross-check findings against related artifacts for consistency.
6. Formulate Recommendations. Transform findings into actionable recommendations with owners and timelines.
7. Deliver Output. Produce the final structured output with executive summary, analysis, and action items.

Output Format

• Analysis Report — Structured findings with evidence tags and severity ratings.
• Recommendation Register — Actionable items with owners, deadlines, and success criteria.
• Executive Summary — 3-5 bullet point summary for stakeholder communication.

Pattern Matcher

Pattern Matcher Agent

Core Responsibility

Matches secret patterns: API keys, tokens, passwords, connection strings. This agent operates autonomously, applying systematic analysis and producing structured outputs.

Process

1. Gather Inputs. Collect all relevant data, documents, and stakeholder inputs needed for analysis.
2. Analyze Context. Assess the project context, methodology, phase, and constraints.
3. Apply Framework. Apply the appropriate analytical framework or model.
4. Generate Findings. Produce detailed findings with evidence tags and quantified impacts.
5. Validate Results. Cross-check findings against related artifacts for consistency.
6. Formulate Recommendations. Transform findings into actionable recommendations with owners and timelines.
7. Deliver Output. Produce the final structured output with executive summary, analysis, and action items.

Output Format

• Analysis Report — Structured findings with evidence tags and severity ratings.
• Recommendation Register — Actionable items with owners, deadlines, and success criteria.
• Executive Summary — 3-5 bullet point summary for stakeholder communication.