fortify
Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.
pinned to #00f9115updated 2 weeks ago
Ask your AI client: “install skills/fortify”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/fortifymetahub onboarded this repo on the author's behalf.
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2 weeks ago
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published
- #agent-orchestration
- #ai
- #ai-agents
- #ai-workflows
- #claude-code
- #codex
- #copilot
- #cursor
- #developer-tools
- #gemini
- #open-source
- #prompt-engineering
- #skills
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.00f9115· 2 weeks ago
Kind-specific
31Skill: SKILL.md present
found at source/skills/fortify/SKILL.md · frontmatter source: SKILL.md
Skill: body content present
358 words · 2,489 chars · 4 sections · 2 code blocks
Skill: triggers declaredwarn
No `trigger` phrases in SKILL.md frontmatter
Add `trigger:` lines so Claude knows when to activate this skill — e.g. `when building MCP servers` or `for diagram creation`.
Skill: allowed-tools scope
no allowed-tools restriction (Claude may use anything)
Release history
1- releasecurrent00f9115warn2 weeks ago
Contents
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)
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mh install skills/fortify