Makefile Validator logo

Makefile Validator

Community
akin-ozer
makefile-validator

Validate, lint, audit, or check Makefiles and .mk files for errors.

Overview

Publisherakin-ozer
Repositorycc-devops-skills
Skill namemakefile-validator
Stars
326
Forks
39
Bundled files
7
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by akin-ozer on GitHub. Read the source before you install it.

Installation

Install the Makefile Validator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/akin-ozer/cc-devops-skills/tree/main/devops-skills-plugin/skills/makefile-validator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/akin-ozer/cc-devops-skills.git /tmp/cc-devops-skills
mkdir -p .claude/skills
cp -r /tmp/cc-devops-skills/devops-skills-plugin/skills/makefile-validator .claude/skills/makefile-validator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Makefile Validator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Makefile Validator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Makefile Validator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Makefile Validator

Overview

Use this skill to validate Makefiles with a local-first, deterministic flow.

Default validator entrypoint:

bash
bash scripts/validate_makefile.sh <makefile-path>

Validation layers:

  1. Dependency preflight (python3, pip3, make)
  2. GNU make syntax check (make -n --dry-run) when make is available
  3. mbake validate
  4. mbake format --check
  5. Custom security, best-practice, and optimization checks
  6. Optional checkmake and unmake checks when installed

Trigger Guidance

Use this skill when the request includes Makefile quality, linting, validation, hardening, or troubleshooting.

Trigger Phrases

  • "Validate this Makefile"
  • "Lint my .mk file"
  • "Find issues in this build Makefile"
  • "Check Makefile security problems"
  • "Review this Makefile before CI"

Non-Trigger Examples

  • Creating a brand new Makefile from scratch (use makefile-generator)
  • Running build targets as part of delivery
  • General shell scripting work unrelated to Makefiles

Deterministic Execution Model

Run from this skill directory for shortest commands:

bash
cd devops-skills-plugin/skills/makefile-validator

Step 1: Preflight

  1. Confirm target file exists and is readable.
  2. Confirm whether file edits are allowed (writable) or only suggestions can be returned (read-only).
  3. Prefer the default validator path first; use fallbacks only when blocked by environment constraints.

Step 2: Baseline Validation (Default Path)

bash
# From skill directory
bash scripts/validate_makefile.sh <makefile-path>

# From repository root
bash devops-skills-plugin/skills/makefile-validator/scripts/validate_makefile.sh <makefile-path>

Always record:

  • command executed
  • exit code
  • summary counts (Errors, Warnings, Info)
  • issue locations reported by tools

Step 3: Interpret Output and Exit Code

Exit codeMeaningExpected summary lineAction
0no blocking findingsValidation PASSEDoptional improvements only
1warning-only resultValidation PASSED with warningsfix recommended; merge policy dependent
2error resultValidation FAILED - errors must be fixedfix required, then rerun

Step 4: Progressive Reference Loading

Open only the docs required by the current findings.

Finding typeReference doc
.PHONY, .DELETE_ON_ERROR, .ONESHELL, variable usage, performance structuredocs/best-practices.md
tabs vs spaces, dependency mistakes, credential patterns, anti-patternsdocs/common-mistakes.md
mbake behavior, formatter flags, known mbake caveatsdocs/bake-tool.md

Step 5: Fix + Rerun Loop

After applying fixes, rerun:

bash
bash scripts/validate_makefile.sh <makefile-path>

Loop rules:

  1. Stop only when no new errors are introduced.
  2. If warnings remain intentionally, document why they are accepted.
  3. Always report the latest rerun exit code.

How to Open Docs

Use explicit file-open commands so paths are unambiguous.

From repository root:

bash
sed -n '1,220p' devops-skills-plugin/skills/makefile-validator/docs/best-practices.md
sed -n '1,220p' devops-skills-plugin/skills/makefile-validator/docs/common-mistakes.md
sed -n '1,220p' devops-skills-plugin/skills/makefile-validator/docs/bake-tool.md
rg -n "PHONY|DELETE_ON_ERROR|ONESHELL|tab|credential|mbake" devops-skills-plugin/skills/makefile-validator/docs/*.md

From devops-skills-plugin/skills/makefile-validator:

bash
sed -n '1,220p' docs/best-practices.md
sed -n '1,220p' docs/common-mistakes.md
sed -n '1,220p' docs/bake-tool.md
rg -n "PHONY|DELETE_ON_ERROR|ONESHELL|tab|credential|mbake" docs/*.md

If shell commands are unavailable, use the environment's file-open/read actions on the same paths.

Fallback Behavior

Use these only when the default validator path cannot run fully.

ConstraintFallback actionReporting requirement
python3 or pip3 unavailableRun limited checks (make -f <file> -n --dry-run if make exists, plus focused grep checks)State that mbake stages were skipped and coverage is reduced
pip3 install mbake fails (offline/proxy/index issue)Keep syntax/custom checks that still work; defer formatter/linter stagesReport install failure and request rerun in a network-enabled environment
make unavailableContinue with non-syntax stages; script already downgrades syntax stageExplicitly note syntax coverage was skipped
checkmake or unmake unavailableContinue; these are optional stagesNote optional lint/portability coverage not executed
target file is read-onlyProvide patch suggestions onlyMark response as advisory only
command execution unavailableProvide static review from file contents and docsMark result as non-executed analysis

Minimal fallback commands:

bash
# Syntax only (when make exists)
make -f <makefile-path> -n --dry-run

# Focused quick checks
grep -n "^\\.DELETE_ON_ERROR:" <makefile-path>
grep -n "^\\.PHONY:" <makefile-path>
grep -nE "^(  |    |        )[a-zA-Z@\\$\\(]" <makefile-path>

Example Outcomes Mapped to Exit Codes

Clean Result (exit 0)

text
Errors:   0
Warnings: 0
Info:     2
✓ Validation PASSED

Warning-Only Result (exit 1)

text
Errors:   0
Warnings: 3
Info:     1
⚠ Validation PASSED with warnings

Error Result (exit 2)

text
Errors:   2
Warnings: 1
Info:     0
⚠ Validation FAILED - errors must be fixed

Troubleshooting Quick Start

  1. Verify required tools:
bash
command -v python3 pip3 make
  1. Isolate GNU make syntax failures:
bash
make -f <makefile-path> -n --dry-run
  1. Check likely tab-indentation violations:
bash
grep -nE "^(  |    |        )[a-zA-Z@\\$\\(]" <makefile-path>
  1. Rerun validator with plain output and capture log:
bash
NO_COLOR=1 bash scripts/validate_makefile.sh <makefile-path> > /tmp/makefile-validator.log 2>&1
echo "exit=$? log=/tmp/makefile-validator.log"
  1. If mbake install keeps failing, validate in a network-enabled shell or with an internal PyPI mirror, then rerun the full validator.

Skill Paths

text
makefile-validator/
├── SKILL.md
├── scripts/
│   └── validate_makefile.sh
├── docs/
│   ├── best-practices.md
│   ├── common-mistakes.md
│   └── bake-tool.md
└── examples/
    ├── good-makefile.mk
    └── bad-makefile.mk

Done Criteria

This skill update is complete when all are true:

  1. Trigger guidance is explicit and easy to identify.
  2. Execution flow is deterministic (preflight -> run -> interpret -> docs -> rerun).
  3. "How to open docs" instructions include exact commands and paths.
  4. Example outcomes are explicitly tied to exit codes (0, 1, 2).
  5. Fallback behavior is documented for missing tools and constrained environments.
  6. Troubleshooting quick-start is concise and runnable.
  7. Frontmatter name and description remain unchanged.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Makefile Validator AI skill do?

Validate, lint, audit, or check Makefiles and .mk files for errors.

Why use Makefile Validator on TypingMind?

Because you install it once and use it with any model. Makefile Validator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Makefile Validator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/akin-ozer/cc-devops-skills/tree/main/devops-skills-plugin/skills/makefile-validator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Makefile Validator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Makefile Validator?

As many as you like. As long as a model supports skills, you can use Makefile Validator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Makefile Validator AI skill free?

Yes. It is published on GitHub by akin-ozer under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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