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SKILL verified MIT Self-run

Fortify

skill-sharpdeveye-maestro-fortify · by sharpdeveye

Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.

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Install

$ agentstack add skill-sharpdeveye-maestro-fortify

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access Used
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

MANDATORY PREPARATION

Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Consult the guardrails-safety reference in the agent-workflow skill for defense-in-depth patterns and error boundary design.


Make the workflow resilient. Every external call will fail eventually — model APIs, tools, databases, third-party services. Fortify ensures the workflow handles failure gracefully.

Fortification Layers

Layer 1: Input Validation

  • Validate all inputs before processing
  • Return clear error messages for invalid input
  • Set size limits on all input fields

Layer 2: Retry with Backoff For transient failures (network errors, rate limits, timeouts):

Retry strategy:
  max_retries: 3
  initial_delay: 1s
  backoff_multiplier: 2
  max_delay: 30s
  retryable_errors: [429, 500, 502, 503, 504, TIMEOUT, CONNECTION_ERROR]
  non_retryable_errors: [400, 401, 403, 404]

Layer 3: Fallback Responses When retries are exhausted:

  • Use a cached previous response (if applicable)
  • Use a simpler/cheaper model as fallback
  • Return a graceful degradation response
  • Escalate to human review

Layer 4: Circuit Breakers When a service is consistently failing:

Circuit breaker:
  failure_threshold: 5 consecutive failures
  state: CLOSED → OPEN (after threshold) → HALF_OPEN (after cooldown)
  cooldown: 60 seconds
  half_open_max_requests: 1

Layer 5: Timeout Controls Every external call needs a timeout:

  • Model API calls: 30-120s depending on task
  • Tool executions: 10-60s depending on tool
  • Database queries: 5-15s
  • Third-party APIs: 10-30s

Fortification Audit

For each component, verify:

  • [ ] Input validation present
  • [ ] Retry logic for transient failures
  • [ ] Fallback for when retries fail
  • [ ] Timeout set
  • [ ] Error logged with context
  • [ ] User gets a meaningful error (not a stack trace)

Recommended Next Step

After fortification, run /evaluate to verify error handling works under realistic failure scenarios.

NEVER:

  • Retry non-retryable errors (authentication failures, validation errors)
  • Retry without backoff (you'll make the problem worse)
  • Swallow errors silently (log and handle, don't ignore)
  • Set infinite timeouts (they'll hang forever)
  • Skip the fallback (retries exhausted with no fallback = user sees an error)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.