Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
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Audit codebases for leaked secrets and hardcoded credentials, generate .env templates, configure secrets management with AWS Secrets Manager, Vault, Doppler, or GCP Secret Manager, set up credential rotation, and integrate secrets into CI/CD pipelines via OIDC federation
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
You are in AUTONOMOUS MODE. Do NOT ask questions. Do NOT pause for confirmation. Execute every phase below in sequence, making decisions based on what you find.
$ARGUMENTS may contain:
vault, aws-sm (Secrets Manager), aws-ssm (Parameter Store), gcp-sm, doppler, infisical--audit — only audit current secret handling, do not generate config--rotate — set up secret rotation for database and API credentials--ci — configure CI/CD pipeline to pull secrets from provider--env-template — generate .env.example from detected env varsPerform a comprehensive scan for secret exposure:
1. Hardcoded secrets in source code (exclude node_modules, vendor, .git):
(api[_-]?key|apikey)\s*[:=]\s*['"][A-Za-z0-9]{16,}['"]AKIA[0-9A-Z]{16}-----BEGIN (RSA|EC|OPENSSH) PRIVATE KEY-----(token|secret|password)\s*[:=]\s*['"][^'"]{8,}['"](postgres|mysql|mongodb|redis)://[^@]+@(jwt[_-]?secret|signing[_-]?key)\s*[:=]\s*['"]2. Environment files:
.env, .env.local, .env.production, .env.development.env is in .gitignore.env files are tracked by git: git ls-files .env*.env files and categorize values as: secret vs configuration3. Git history (last 50 commits):
.env files were ever committed then removed4. Configuration files:
docker-compose.yml — passwords in environment blocksapplication.yml / application.properties — embedded credentials5. CI/CD configuration:
.github/workflows/*.yml — check for inline secrets (should use ${{ secrets.NAME }}).gitlab-ci.yml — check for variables with exposed valuesSeverity classification:
Generate .env.example from all detected environment variable references.
Scan for env var patterns:
process.env.VARNAMEos.environ["VARNAME"], os.getenv("VARNAME")os.Getenv("VARNAME")${VARNAME} in config filesCreate .env.example with:
# SECRET: prefix for values that must come from secrets manager# CONFIG: prefix for non-sensitive configurationREPLACE_ME_WITH_SECURE_RANDOM_VALUE)Based on detected infrastructure or $ARGUMENTS, set up the appropriate provider:
AWS Secrets Manager:
aws_secretsmanager_secret resources@aws-sdk/client-secrets-manager or equivalent)AWS Systems Manager Parameter Store:
aws_ssm_parameter resources (SecureString type)/{project}/{env}/{secret_name}GCP Secret Manager:
google_secret_manager_secret resourcesHashiCorp Vault:
Doppler:
doppler.yaml project configFor all providers, generate a unified secrets loading wrapper:
.env file via dotenvDatabase credentials:
aws_secretsmanager_secret_rotationAPI keys:
TLS certificates:
GitHub Actions:
aws-actions/configure-aws-credentials@v4 with role-to-assumeaws-actions/aws-secretsmanager-get-secrets@v2 for loading secretsDoppler:
dopplerhq/secrets-fetch-action@v1 with DOPPLER_TOKEN secretGeneral:
For each CRITICAL and HIGH finding from the audit:
.gitignore, remove from git tracking (warn about history)${DB_PASSWORD}.env*, *.pem, *.key, *.jks patternsIf secrets were found in git history:
git-filter-repo to remove from history (document command but do NOT execute)After completing deployment/infrastructure changes, validate:
IF STILL FAILING after 2 iterations:
## Secrets Audit & Configuration
### Audit Results
| Severity | Finding | Location | Status |
|----------|---------|----------|--------|
| CRITICAL | {finding} | {file:line} | {fixed/needs-action} |
| HIGH | {finding} | {file} | {fixed/needs-action} |
| MEDIUM | {finding} | {file} | {fixed/needs-action} |
### Files Created/Modified
- .env.example — Environment variable template ({N} variables)
- .gitignore — Added secret file patterns
- {provider config files}
- {application secret loader}
### Secrets Inventory
| Secret | Provider | Rotation | CI/CD |
|--------|----------|----------|-------|
| DATABASE_URL | {provider} | 30 days | configured |
| JWT_SECRET | {provider} | 90 days | configured |
### Immediate Actions Required
{ordered list of manual actions needed, starting with credential rotation}
After producing output, record execution metadata for the /evolve pipeline.
Check if a project memory directory exists:
~/.claude/projects/skill-telemetry.md in that memory directoryEntry format:
### /secrets — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}
Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.
.env files without warning — they may be the only copy of secretsgit filter-repo or git filter-branch without explicit user confirmation还没有评价。欢迎分享你的使用感受。
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Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
中文简介正在准备中。当前显示原文说明。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
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Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
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Create and manage Architecture Decision Records using the Michael Nygard format. Triggers: you need to document architecture decisions, record technical choices, explain why a technology was chosen.
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Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..
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Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Triggers: an existing page underperforms in AI answers despite ranking well in classic SERPs.
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