design-context-models

design-context-models is a skill for Claude Code, Codex from radiantlogicinc/fastworkflow. It costs 131 tokens per session (2,602 once invoked), scanned A, original, Apache-2.0.

A guide for designing two kinds of relationships in a fastWorkflow command tree: which commands a context can reach and which context it belongs under. A context is the active part of the workflow that determines available actions.

In plain words
What is it for?
Use it to derive context relationships from code, decide which commands should be inherited, and tune routing as the command tree grows.
Why use it?
Mixing these relationships can make commands unreachable or cause the router to choose the wrong level of the workflow. The guide explains how each relationship affects routing and navigation.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/radiantlogicinc/fastworkflow/design-context-models
Any agent
npx skills add radiantlogicinc/fastworkflow --skill design-context-models
Clone the repo
git clone --depth 1 https://github.com/radiantlogicinc/fastworkflow

Made for: Claude Code, Codex.

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 design-context-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/design-context-models.svg)](https://agentmods.dev/skills/radiantlogicinc/fastworkflow/design-context-models)
Your own site
<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/design-context-models"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/design-context-models.svg" alt="Measured on agentmods" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,602 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00131 $0.02602
Opus 5 $0.00066 $0.01301
Sonnet 5 $0.00026 $0.00520
Haiku 4.5 $0.00013 $0.00260

Measured 5d ago against content hash d2ce8843ce64, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-context-models 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 5d ago.

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.

fastworkflow/skills_for_coding_fastworkflows/design-context-models/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Designing context models for routing

The mechanism being optimized

Two files, two unrelated effects. Confusing them makes every later decision guesswork.

File Key Effect
_commands/context_inheritance_model.json base Adds the base context's commands to the child's callable surface. Controls reachability.
context_hierarchy_model.json parent No runtime navigation effect at all. Read at training time only.

A context's classifier does not choose among its surface. Its label set is:

own commands
+ inherited commands (transitive over `base`)
+ framework core commands + `wildcard`
+ every ancestor's surface, trained as `wildcard`     <- this comes from the `parent` axis

go_up and escalation both walk the live object's parent — the Context.get_parent callback returning obj.parent — never the JSON. The parent axis exists to teach a context which utterances are not its own, so it answers wildcard, which makes the runtime climb the live chain and re-predict there.

Three consequences drive everything below:

  • A parent edge no command can produce is pure cost. It can never be walked at runtime, and it still enlarges the wildcard class.
  • A missing parent edge that is produced at runtime is worse. The child was never taught to reject that ancestor's utterances, so it confidently misroutes instead of escalating.
  • Only a lone confident wildcard escalates. wildcard returned beside real candidates raises an ambiguity prompt instead, so "escalation" and "routing" trade against each other and must be scored separately.

Rule 1 — derive the hierarchy from code, never hand-maintain it

The true parent graph is whatever each command constructs and assigns as the current context. Scan for the assignment to current_command_context and record the class being entered; that set is the containment graph. Diff it against the declared JSON and fix both directions: drop edges nothing produces, add edges something produces.

Read the full file on GitHub · 216 lines

Files

What ships with it

1 file 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. 5d ago First seen · 216 lines · 131 tokens per session scan A d2ce8843ce64

Subscribe to this mod's changes

design-context-models is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 131 tokens to every session and 2,602 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens