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dag-typesafe

dag-typesafe is a skill for Claude Code from tdimino/claude-code-minoan. It costs 79 tokens per session (1,496 once invoked), scanned A, original, MIT.

A system for building workflows as directed acyclic graphs, meaning step-by-step pipelines with no loops, where each step has checked input and output types. It also verifies each step with a certificate based on recorded evidence.

In plain words
What is it for?
Use it to inspect a repository's public functions and classes, compose them into validated execution pipelines, and compile those pipelines into native code.
Why use it?
It prevents incompatible steps, missing inputs, arbitrary generated code, and unnoticed failures in workflows driven by language models.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions Claude Code.

not rated 41repo 2d ago A scan SkillSpector: pass 79 tokens original MIT

Good fit Use it to inspect a repository's public functions and classes, compose them into validated execution pipelines, and compile those pipelines into native code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tdimino/claude-code-minoan/dag-typesafe
View source ↗ tdimino/claude-code-minoan minoanmystery.org
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tdimino/claude-code-minoan --skill dag-typesafe
Clone the repo
git clone --depth 1 https://github.com/tdimino/claude-code-minoan

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dag-typesafe

README.md
[![agentmods](https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/dag-typesafe/github.svg)](https://agentmods.dev/skills/tdimino/claude-code-minoan/dag-typesafe)
Your own site
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/dag-typesafe"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/dag-typesafe/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dag-typesafe

Your own site · 80×15
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/dag-typesafe"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/dag-typesafe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,496 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.01496
Opus 5 $0.00039 $0.00748
Sonnet 5 $0.00016 $0.00299
Haiku 4.5 $0.00008 $0.00150

Measured 10d ago against content hash 229929efcdcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dag-typesafe scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (extractors/__init__.py, extractors/base.py, extractors/python_extractor.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/core-development/dag-typesafe/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dag-typesafe

Deterministic type safety via directed acyclic graphs for reasoning language models.

Analyze any repo's public API surface, extract a typed node registry, compose validated execution DAGs from natural language, and compile them into native pipeline code with GraphSentry-style (artifact, certificate) verification at every node boundary.

Category

Code Scaffolding & Templates

Core Concepts

Three layers compose into a single architecture:

  1. Typed Node Registry — the repo's public functions/classes extracted as typed nodes with JSON Schema input/output contracts. The LLM selects from this registry; it never generates arbitrary code.

  2. DAG Plan — a language-neutral execution graph where nodes reference registry entries and edges are schema-validated. No cycles, all inputs satisfied, all types compatible.

  3. Certificates — each node emits an (artifact, certificate) pair. Certificates are deterministic predicates evaluated from logged evidence. Failed certificates halt the pipeline with diagnostic context. Based on GraphSentry (Li et al., 2026).

Commands

Parse $ARGUMENTS to determine which command to run:

analyze

Extract a typed node registry from the current repository.

python3 ~/.claude/skills/dag-typesafe/scripts/analyze.py [--language python|typescript|auto] [--output dag-registry.json]
  1. Detect repo language(s) from file extensions and config files
  2. Run the appropriate extractor(s) from extractors/
  3. Walk the AST for public API surface only (exported functions, public classes, API endpoints)
  4. Convert type annotations to JSON Schema
  5. Output dag-registry.json at repo root

compose

Generate a DAG plan from natural language using the typed registry.

The compose phase is endpoint-agnostic — it works with any OpenAI-compatible API (OpenRouter, Groq, Subq Code, local models) or in-session via Claude Code.

In-session mode (default): Build a structured prompt from the registry and task description, then use the current Claude Code session to generate the DAG plan.

Read the full file on GitHub · 170 lines

Files

What ships with it

18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 170 lines · 79 tokens per session scan A 229929efcdcd

Subscribe to this mod's changes

dag-typesafe is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 1,496 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agentsClaude CodePlanningclaude-code-skillscli-appminoanopen-source
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