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Deterministic Checks

Community
Rtur2003
deterministic-checks

Use before committing, opening a PR, or reporting a task done — when you want ground-truth confirmation there are no conflict markers, live-looking credentials, debug leftovers, untracked TODOs, or oversized files, without spending a model turn re-reading every file yourself.

Overview

PublisherRtur2003
RepositoryClaude-Code-Promts-Skills
Skill namedeterministic-checks
Stars
56
Forks
16
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by Rtur2003 on GitHub. Read the source before you install it.

Installation

Install the Deterministic Checks 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/Rtur2003/Claude-Code-Promts-Skills/tree/main/.agents/skills/deterministic-checks
  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/Rtur2003/Claude-Code-Promts-Skills.git /tmp/Claude-Code-Promts-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Promts-Skills/.agents/skills/deterministic-checks .claude/skills/deterministic-checks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deterministic Checks 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 Deterministic Checks 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 Deterministic Checks 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.

Deterministic Checks

Overview

A shell script that scans a repository for five specific, mechanically-detectable problems and reports file:line locations. Zero model cost — it never asks a model to "be careful" about something a regex can already prove.

Core principle: If a check can be regex or wc -c, it should never be a paragraph of instructions asking the model to look carefully. Reserve judgment calls for the model; hand mechanical checks to the script.

What it checks

CheckCatchesMisses (by design)
Conflict markers<<<<<<<, =======, >>>>>>> at line startMarkers inside a fenced code block that's documenting conflict markers (a known false-positive class — see below)
Live-looking credentialsAWS keys, GitHub tokens, PEM private keys, sk--style API keysAnything not matching those four shapes — this is not a general secret scanner
Debug leftoversconsole.log/console.debug, debugger;, pdb.set_trace(), binding.pry in JS/TS/Python/Go/Ruby filesDebug prints in languages/patterns not listed
Untracked TODO/FIXMETODO/FIXME/XXX with no #123 or TICKET-123 reference nearbyTODOs that reference a ticket — those are considered tracked
Oversized filesAny file over 5MB, excluding lockfiles and .min.jsNothing — this one has no heuristic gap

Usage

bash
bash ${CLAUDE_SKILL_DIR}/scripts/scan.sh [path]   # defaults to .

Exit code 0 = clean, 1 = findings printed to stdout, 2 = usage error. In a Git repo it scans tracked + untracked-but-not-ignored files (via git ls-files); outside Git it walks the filesystem, skipping node_modules, .git, .claude/worktrees, dist, build, and vendor.

Set SCAN_NO_GIT=1 when project policy forbids even read-only Git commands. The script then uses the filesystem walk regardless of repository state:

bash
SCAN_NO_GIT=1 bash ${CLAUDE_SKILL_DIR}/scripts/scan.sh .

Excluding a path (e.g. a docs file that intentionally shows conflict-marker syntax):

bash
SCAN_EXCLUDE='path/to/docs-with-examples\.md' bash ${CLAUDE_SKILL_DIR}/scripts/scan.sh .

SCAN_EXCLUDE is a grep -Ev pattern matched against each file path.

Known false-positive class

Any file that documents these patterns — a git tutorial showing <<<<<<< HEAD, a security post pasting a fake AKIA... example, this skill's own README — will trigger a match. The script cannot distinguish "this is a real conflict" from "this is prose about conflicts" with a line-oriented regex. When a finding is a documentation example, exclude that path with SCAN_EXCLUDE rather than trying to make the regex smarter — a regex that understands fenced-code-block context is not worth the fragility it adds. This is the same trade every pre-commit secret scanner makes.

When to use vs. when not to

Use before: committing, opening a PR, reporting "done" on a task that touched files, merging a branch.

Don't use for: language-specific type checking, style/formatting (use the project's linter), security review beyond the four credential shapes above (use agents/security-audit-prompt.md for judgment-requiring review), or as a substitute for tests.

Wiring it as a hook instead of running it manually

This is also usable as a Stop hook so it runs automatically instead of you remembering to invoke it — see the hooks/hooks.json pattern in agents/hooks-automation-prompt.md. A Stop hook that exits 1 blocks the turn from ending until the findings are addressed or explicitly accepted.

Remember

This script proves the absence of five specific problems. It proves nothing else. Don't report "clean" as "reviewed" — it's a floor, not a review.

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 Deterministic Checks AI skill do?

Use before committing, opening a PR, or reporting a task done — when you want ground-truth confirmation there are no conflict markers, live-looking credentials, debug leftovers, untracked TODOs, or oversized files, without spending a model turn re-reading every file yourself.

Why use Deterministic Checks on TypingMind?

Because you install it once and use it with any model. Deterministic Checks 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 Deterministic Checks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Rtur2003/Claude-Code-Promts-Skills/tree/main/.agents/skills/deterministic-checks. 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 Deterministic Checks?

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 Deterministic Checks?

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

Is the Deterministic Checks AI skill free?

Yes. It is published on GitHub by Rtur2003 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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