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Agent skill

Fortify

by sharpdeveye in sharpdeveye/maestro

A skill your agent uses when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.

MITAuto-check passedDevelopment

Install Fortify

skills CLI
$ npx skills add sharpdeveye/maestro --skill fortify -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sharpdeveye/maestro fortify --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/fortify .claude/skills/fortify && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fortify
GitHub stars
592
Token cost
~688 tokens
SKILL.md length
267 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.

  • The workflow lacks error handling
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Has been failing in production
  • Needs retry logic

What it does

Fortify is an agent skill from sharpdeveye/maestro. Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Error handling. The repository describes itself as: Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and… The licence is MIT.

When your agent uses it

  • The workflow lacks error handling
  • Has been failing in production
  • Needs retry logic
  • Fallback strategies

Example prompts

  • “/fortify”

What it can do on your machine

Read from SKILL.md and the folder at commit 00f9115. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fortify loads about 688 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~688

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 267 words, ~688 tokens.

Download SKILL.mdSave it as .claude/skills/fortify/SKILL.md (or your agent's skills folder).
name
fortify
description
Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.
argument-hint
[target area]
category
fix
version
2.0.0
user-invocable
true

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):

yaml
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:

yaml
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)

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)

© sharpdeveye, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in source/skills/fortify of sharpdeveye/maestro.

Open the folder on GitHubat commit 00f9115

Compare with similar skills

Fortify next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fortify compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fortify this skillsharpdeveye/maestro592—~688Automated safety check: PassMIT
Mole Bug Patternstw93/Mole69k—~2kAutomated safety check: PassGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Rust Best Practicesfarm-fe/farm5.6k3 repos~1.1kAutomated safety check: PassMIT
R Function Input Validationtidyverse/dplyr5.1k1 repos~2.3kAutomated safety check: PassCustom licence
Error Handlingmicrosoft/data-formulator18k—~3.8kAutomated safety check: PassMIT

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    69k GitHub stars~2k tokensUpdated yesterday
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  • Native Data Fetching

    CherryHQ/cherry-studio-app

    A skill your agent uses when implementing or debugging ANY network request, API call, or data fetching.

    4k GitHub starsUsed in 6 repos~2.9k tokens
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  • Error Handling

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    Official

    统一错误处理系统。在添加 API 端点、修改错误处理、添加前端 API 调用、编写错误相关测试时使用. An agent skill from microsoft/data-formulator.

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Categories

Questions about Fortify

What does Fortify do?

A skill your agent uses when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers. Fortify is an agent skill from sharpdeveye/maestro. Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.

When should I use Fortify?

Fortify fits situations like: the workflow lacks error handling; has been failing in production; needs retry logic; fallback strategies.

How do I install Fortify in Claude Code?

Run `npx skills add sharpdeveye/maestro --skill fortify -a claude-code`. Or copy the skill folder (source/skills/fortify in sharpdeveye/maestro) into .claude/skills/fortify in your project. Claude Code loads it when a task matches its description.

How do I install Fortify in Codex?

Run `npx skills add sharpdeveye/maestro --skill fortify -a codex`. Or copy the skill folder (source/skills/fortify in sharpdeveye/maestro) into .agents/skills/fortify in your project. Codex loads it when a task matches its description.

Can I use Fortify in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sharpdeveye/maestro --skill fortify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fortify, .gemini/skills/fortify, .github/skills/fortify and .opencode/skills/fortify in your project.

What does Fortify need to run?

SKILL.md names no scripts, command-line tools or credentials: Fortify is instructions for the agent only.

Does Fortify access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Fortify safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fortify use?

Fortify is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fortify use?

About 688 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fortify?

Skills that share tags, products or a category with Fortify: Mole Bug Patterns (tw93/Mole, 69k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Rust Best Practices (farm-fe/farm, 5.6k stars) and R Function Input Validation (tidyverse/dplyr, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fortify?

sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.

Source: sharpdeveye/maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.