Spec Literal Execution

Community

ashutoshsinghpr7

spec-literal-execution

Apply ONLY the spec clauses literally — no aggregation, dedup, or cleanup transforms; each input record maps to its own output line.

Overview

Publisher	ashutoshsinghpr7
Repository	`wikiskill`
Skill name	`spec-literal-execution`
Stars	281
Forks	26
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by ashutoshsinghpr7 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/spec-literal-execution
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.

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/ashutoshsinghpr7/wikiskill.git /tmp/wikiskill
mkdir -p .claude/skills
cp -r /tmp/wikiskill/skills/spec-literal-execution .claude/skills/spec-literal-execution

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spec Literal Execution 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 Spec Literal Execution 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 Spec Literal Execution 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.

Spec Literal Execution — no unstated transforms

Problem

An exact-match grader rejected output.txt (score 0.0) although the agent believed it followed every spec clause and even re-read the file.

Root cause

Spec says "one line per product with quantity > 0" and never mentions aggregation, yet the agent inferred "product = unique product name" and summed duplicate rows (cherry 20+2 → 22, elderberry 11+6 → 17). The grader treats each JSON object as its own product row: CHERRY;20 and CHERRY;2 must be separate lines. The added transformation — not the arithmetic or tooling — caused the failure.

Fix

Apply ONLY the clauses literally present in the spec. Each input record maps to its own output line unless the spec explicitly says otherwise.
Never add aggregation, dedup, rounding, or case changes "for cleanliness".
If a spec filter (e.g. qty >= 10) is the only thing removing duplicates, apply it per row — do not aggregate first.

Evidence

FAIL: spec-format2-1 (0.0). PASS: spec-format1-1, spec-format3-1 (1.0) — same duplicate-shaped data; the passing runs filtered per row with no aggregation.

Frequently asked questions

What does the Spec Literal Execution AI skill do?

Apply ONLY the spec clauses literally — no aggregation, dedup, or cleanup transforms; each input record maps to its own output line.

Why use Spec Literal Execution on TypingMind?

Because you install it once and use it with any model. Spec Literal Execution 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 Spec Literal Execution in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/spec-literal-execution. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Spec Literal Execution?

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 Spec Literal Execution?

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

Is the Spec Literal Execution AI skill free?

Yes. It is published on GitHub by ashutoshsinghpr7 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Spec Literal Execution — no unstated transforms

Problem

Root cause

Fix

Evidence

Frequently asked questions

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