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Suede Release Linter

Community
JasonColapietro
suede-release-linter

Find missing files, malformed metadata, artwork and stem issues, split gaps, AI involvement, and delivery blockers in local music or media release folders. Use when asked to "check this release folder" or explain a delivery rejection. Writes scored Markdown and JSON reports; unknown facts remain unknown. NOT FOR: resolving rights or building a transfer package (use suede-rights-passport), sync one-sheets (use suede-sync-packaging), or rollout campaigns (use suede-campaign-in-a-box).

Overview

PublisherJasonColapietro
Repositorysuede-creator-skills
Skill namesuede-release-linter
Stars
126
Forks
12
Bundled files
11
LicenseMIT
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.

  • 11 bundled files

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

  • Open source

    Published by JasonColapietro on GitHub. Read the source before you install it.

Installation

Install the Suede Release Linter 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/JasonColapietro/suede-creator-skills/tree/main/skills/suede-release-linter
  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/JasonColapietro/suede-creator-skills.git /tmp/suede-creator-skills
mkdir -p .claude/skills
cp -r /tmp/suede-creator-skills/skills/suede-release-linter .claude/skills/suede-release-linter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Suede Release Linter 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 Suede Release Linter 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 Suede Release Linter 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.

Suede AI Release Linter Skills

Compatibility

Bundled offline linter needs Python 3 and local file access; YAML metadata additionally needs PyYAML. Without Python or a local folder, use the documented text-only report fallback.

For a concrete input, expected handoff, and failure check, read the worked handoff.

Gate policy

Every check and verdict here is advice to the user, not a control on the agent. Run the checks, report results honestly, and complete what the user asked. A failed gate changes the report, never the work. The one exception: a finding that risks data loss, credential exposure, a legal or rights violation, a payment mistake, or irreversible public damage. Pause, name the risk, give the options, and let the user choose.

Overview

Audit a music or media project folder and produce a practical release-readiness report. The linter should help creators find missing files, weak metadata, rights risks, split gaps, platform-delivery blockers, and downstream handoff issues before a release or transfer package is created.

Core principle: report what is present, missing, or unknown. Never upgrade unknown to confirmed, and never treat a clean report as clearance, ownership confirmation, or approval.

Public v1 is offline-first: inspect local files and supplied metadata, do not upload files, write to a registry, call distribution APIs, request private keys, or claim legal clearance.

Workflow

  1. Identify the source folder or supplied files.
  2. Ask for the output location if it is not obvious.
  3. Read references/lint-rules.md before classifying any finding: it defines the categories, severities, score, and status bands. Do not assign severities from memory.
  4. If working on a local folder, run scripts/lint_release.py to generate release-lint-report.md and release-lint-report.json. Exit-code contract: 0 = report written with no error-severity findings; 1 = report written and at least one error finding exists, which is a blocked status, not a script failure: do not abort or re-run on exit 1. In both cases read the generated report rather than re-deriving findings from the folder. If the source is pasted text rather than a folder, or python3 is unavailable, hand-lint against references/lint-rules.md, produce the same report shape from assets/release-lint-report.template.md, and label the report text-only.
  5. Read references/fix-guidance.md when turning findings into specific next actions.
  6. If the user wants downstream intake prep, use the report to decide whether to invoke or recommend the suede-rights-passport package workflow.
  7. Do not invent release metadata. Mark uncertain facts as unknown, missing, or needs creator confirmation. Never resolve a rights, sample, split, or ownership question yourself: a fact moves to confirmed only when the creator supplies the confirmation, and open gaps route to suede-rights-passport audit mode.
  8. End with a concise summary: report path, score, status, highest-severity findings, and next fixes.

Quick Start

bash
python3 /path/to/suede-release-linter/scripts/lint_release.py \
  /path/to/music-project \
  --output /path/to/release-lint-output

If the source folder contains a metadata file, pass it explicitly:

bash
python3 /path/to/suede-release-linter/scripts/lint_release.py \
  /path/to/music-project \
  --metadata /path/to/music-project/metadata.json \
  --output /path/to/release-lint-output

Accepted metadata formats are JSON, YAML/YML when PyYAML is installed, and public-safe key=value text files. Do not point metadata at real .env, credential, wallet, or deployment config files.

Safety defaults:

  • Hidden files, dependency folders, build outputs, caches, and secret-like files are skipped by default.
  • Unrecognized file types are skipped unless --include-other is passed.
  • Absolute local paths are redacted to share-safer names unless --include-absolute-paths is passed.
  • Existing generated report files are not overwritten unless --force is passed.
  • The output folder cannot be the same folder as the source or live inside it.
  • YAML metadata requires PyYAML: python3 -m pip install PyYAML.

What To Check

Read each bundled reference at the moment it is needed, not up front:

  • references/lint-rules.md: before classifying findings, or when hand-linting without the script: categories, severity levels, score, and status bands.
  • references/metadata-fields.md: when metadata is missing, malformed, or being authored: recommended fields, accepted aliases, and confirmation values.
  • references/fix-guidance.md: when turning findings into next actions or a fix plan.
  • references/passport-context.md: when the user asks how the lint report relates to Suede AI review or the Suede Creator Passport.

The script writes:

  • release-lint-report.md: human-readable report.
  • release-lint-report.json: machine-readable findings.

Use the bundled assets when repairing or hand-writing reports:

  • assets/release-lint-report.template.md
  • assets/release-lint-report.template.json
  • assets/metadata.example.json

Fixtures

Two synthetic release folders under scripts/fixtures/ (all names and metadata fake: no real personal data) exist only to regression-check the script. Read scripts/fixtures/README.md when changing scripts/lint_release.py; a normal lint of a user's folder never touches them.

Public Safety Rules

  • Do not say a project is legally cleared unless the user provides explicit proof.
  • Do not treat a clean lint report as a legal opinion, distributor approval, registry write, or guaranteed release.
  • Do not ask for private keys, seed phrases, unreleased account secrets, or full payment credentials.
  • Do not include private implementation details, private endpoints, internal provider names, or non-public pricing.
  • Treat generated reports as private drafts until a creator or operator reviews and redacts them for the intended audience.
  • Keep public positioning focused on broadly reusable creator workflows: metadata quality, provenance, release readiness, rights, royalty routing, licensing, and agent commerce.

Completion Checklist

Before reporting a lint result:

  • Confirm the source folder was inspected or state that the report is based only on supplied text.
  • Confirm whether metadata was discovered, supplied, or missing.
  • Report the score and severity counts.
  • List all error findings and the most important warning findings.
  • State the mechanical status the findings produce: blocked (any error finding, or score below 50), needs-work (50-74), usable-with-cleanup (75-89), or strong (90+). Never soften a blocked status in prose.
  • Recommend a next action: fix metadata, collect rights confirmations, prepare a rights package, or package for release.

Red flags: stop

If any of these appear in your reasoning, stop and re-read the core principle:

  • "The folder looks complete, skip the script." Run it. Eyeballing is not linting.
  • "The artist obviously owns it." Ownership status comes from the creator, not from the folder.
  • "One unconfirmed split won't block anything." Split errors block royalty routing and licensing by rule.
  • "Round the score up; it's close." The score is arithmetic, not judgment.
  • "A clean report means it's cleared." A clean report means fewer prep blockers. Nothing more.

Downstream Review Context

A clean release-lint report is a portable review artifact. It can support a release, registry, licensing conversation, collaborator handoff, marketplace review, label review, advisor review, or Suede AI review without claiming that any downstream system has accepted, cleared, registered, paid, or approved the work.

Routing

  • Rights, sample, split, ownership, or AI-authorship gaps in the findings → suede-rights-passport audit mode to organize the evidence.
  • No error findings and the user wants handoff prep → suede-rights-passport package mode.
  • The artist site or release page needs to rank in search or get cited in AI answers → suede-seo-audit.
  • Track headed for film/TV/ads → suede-sync-packaging.
  • The release needs a rollout → suede-campaign-in-a-box.

Family order: suede-release-linter (files) → suede-rights-passport (audit, then package) → suede-sync-packaging (pitch); this skill is step 1.

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 Suede Release Linter AI skill do?

Find missing files, malformed metadata, artwork and stem issues, split gaps, AI involvement, and delivery blockers in local music or media release folders. Use when asked to "check this release folder" or explain a delivery rejection. Writes scored Markdown and JSON reports; unknown facts remain unknown. NOT FOR: resolving rights or building a transfer package (use suede-rights-passport), sync one-sheets (use suede-sync-packaging), or rollout campaigns (use suede-campaign-in-a-box).

Why use Suede Release Linter on TypingMind?

Because you install it once and use it with any model. Suede Release Linter 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 Suede Release Linter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-release-linter. 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 Suede Release Linter?

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 Suede Release Linter?

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

Is the Suede Release Linter AI skill free?

Yes. It is published on GitHub by JasonColapietro under the MIT 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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