[daily secrets] 🔐 Daily Secrets Analysis Report - February 15, 2026 #15983
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This discussion was automatically closed because it expired on 2026-02-18T19:59:28.403Z.
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📊 Executive Summary
Analyzed 154 compiled workflow files (
.lock.yml) for secret usage patterns and security controls. The repository maintains strong security practices with comprehensive redaction, token cascades, and explicit permissions across all workflows.Key Metrics:
secrets.*expressions)github.tokenexpressions)🔑 Top 10 Secrets by Usage
GITHUB_TOKENGH_AW_GITHUB_TOKENGH_AW_GITHUB_MCP_SERVER_TOKENCOPILOT_GITHUB_TOKENCLAUDE_CODE_OAUTH_TOKENANTHROPIC_API_KEYOPENAI_API_KEYCODEX_API_KEYTAVILY_API_KEYNOTION_API_TOKEN🛡️ Security Posture
Protection Mechanisms
✅ Universal Redaction: 154/154 workflows (100%) have secret redaction steps
✅ Token Cascades: 480 instances of fallback chains (
GH_AW_GITHUB_MCP_SERVER_TOKEN || secrets.GH_AW_GITHUB_TOKEN || secrets.GITHUB_TOKEN)✅ Permission Blocks: 154 explicit permission definitions (100% coverage)
✅ Step-Level Scoping: 100% of secrets scoped to steps (zero job-level leakage)
Security Checks
✅ No Secrets in Outputs: Zero instances of secrets in job outputs (potential exposure vector eliminated)
github.event.*patterns detected across workflowsenv:blocksagent-performance-analyzer.lock.yml,ai-moderator.lock.yml,archie.lock.ymlView Complete Secret Inventory (25 types)
GitHub Authentication (4 types)
GITHUB_TOKEN- 1,610 occurrences - Default Actions tokenGH_AW_GITHUB_TOKEN- 1,583 occurrences - Elevated permissions PATGH_AW_GITHUB_MCP_SERVER_TOKEN- 784 occurrences - MCP server authenticationGH_AW_PROJECT_GITHUB_TOKEN- 5 occurrences - Project-specific tokenAI Engine Authentication (8 types)
COPILOT_GITHUB_TOKEN- 509 occurrences - Copilot API accessCLAUDE_CODE_OAUTH_TOKEN- 185 occurrences - Claude OAuth credentialsANTHROPIC_API_KEY- 185 occurrences - Anthropic API keyOPENAI_API_KEY- 64 occurrences - OpenAI API accessCODEX_API_KEY- 64 occurrences - Codex API accessSENTRY_OPENAI_API_KEY- 2 occurrences - Sentry OpenAI integrationGH_AW_BOT_DETECTION_TOKEN- 1 occurrence - Bot detectionGH_AW_AGENT_TOKEN- 4 occurrences - Agent authenticationThird-Party Services (10 types)
TAVILY_API_KEY- 15 occurrences - Tavily search APINOTION_API_TOKEN- 6 occurrences - Notion integrationBRAVE_API_KEY- 4 occurrences - Brave search APIDD_API_KEY- 3 occurrences - Datadog APIDD_APPLICATION_KEY- 3 occurrences - Datadog applicationDD_SITE- 3 occurrences - Datadog site configSENTRY_ACCESS_TOKEN- 2 occurrences - Sentry integrationAZURE_CLIENT_ID- 2 occurrences - Azure authAZURE_CLIENT_SECRET- 2 occurrences - Azure credentialsAZURE_TENANT_ID- 2 occurrences - Azure tenantSLACK_BOT_TOKEN- 1 occurrence - Slack integrationCONTEXT- 2 occurrences - Context variableView Workflow Distribution by Engine
Secret Usage by AI Engine
All Workflows (154): Use GitHub authentication tokens
GITHUB_TOKEN: 154 workflows (100%)GH_AW_GITHUB_TOKEN: 154 workflows (100%)GH_AW_GITHUB_MCP_SERVER_TOKEN: 154 workflows (100%)Copilot Engine (105 workflows, 68%):
COPILOT_GITHUB_TOKEN: 105 workflowsClaude Engine (37 workflows, 24%):
ANTHROPIC_API_KEY: 37 workflowsCLAUDE_CODE_OAUTH_TOKEN: 37 workflowsOpenAI/Codex Engine (10 workflows, 6%):
OPENAI_API_KEY: 10 workflowsCODEX_API_KEY: 10 workflowsToken Cascade Pattern
All workflows implement the recommended token fallback chain:
This provides:
Total cascade instances: 480 across all workflows
🎯 Key Findings
💡 Recommendations
✅ Maintain Current Practices: The security posture is excellent - continue enforcing:
📊 Monitor Template Interpolation: While current usage appears safe, continue monitoring
github.event.*patterns for:env:blocks🔄 Consider Secret Rotation Policy: With 25 distinct secret types in use, document:
📈 Trend Analysis: Establish baseline for future reports to track:
📖 Reference Documentation
For detailed information about secret usage patterns:
scratchpad/secrets-yml.mdactions/setup/js/redact_secrets.cjsGenerated: 2026-02-15 19:57 UTC
Workflow Run: §22042061852
Analyzed Files: 154
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